Data Ideology

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious.  For more information about Data Ideology, visit www.dataideology.com

Data Analyst– Contract

We are looking for Data Analyst to join our growing team. A Data Analyst will leverage their business and technical knowledge to organize and manage deliverables in a data warehouse consolidation and business intelligence implementation project, while also working with business and technical teams to understand business strategy and objectives, gather information, and ensure business requirements are being fulfilled throughout the entire data & analytics lifecycle.

Key Responsibilities

To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.

• Data Analysis and Interpretation:
  • Conduct in-depth analysis using the data warehouse to identify trends, patterns, and insights.
  • Interpret complex data sets and communicate findings to both technical and non-technical stakeholders.
• Data Extraction and Transformation:
  • Assist with ETL processes to extract, transform, and load data from various sources.
  • Collaborate with IT teams to create seamless data integrations.
• Quality Assurance and Testing
  • Perform thorough data validation and testing to ensure the highest possible data quality.
  • Clearly define and communicate when quality standards are not being met.
• Problem Solving
  • Perform root cause analysis to identify the underlying or fundamental causes of an issue or problem.
  • Demonstrate ability to offer suggestions and solutions to remedy issues and promote sustainability.
• Collaboration and Communication:
  • Work closely with cross-functional teams, including IT and business stakeholders, to align on goals and key deliverables.
  • Effectively prioritize tasks to meet established team goals.
• Documentation:
  • Accurately document data mappings and definitions.
  • Outline standard processes and procedures of core activities

Supervisory Responsibilities: None

Qualifications

Education and Experience:

Education and Experience:

• Bachelor’s degree in healthcare or computer science related field preferred, but not necessary.
• 2+ years’ experience with any programming language (SQL, PLSQL, R, Python, etc)
• 2+ years’ experience in data analytics on any data warehouse (Oracle, SQL, Snowflake)
• Healthcare experience a plus
• Agile/SAFe experience a plus

Work Environment:

• Remote work from home.
• Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.

Physical Demands:

• Must be able to remain in a stationary position 50% of the time.
• The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
• Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
• The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

Data Ideology is an EEO Employer

The Commercial Pricing Analyst supports the development of competitive, profitable, and scalable commercial solutions by providing costing, pricing, financial modeling, and performance analysis.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com.

THE ROLE:

As a Support Services Data and Reporting Analyst, you’ll help teams across Support and Operations use data to make informed decisions, improve performance and automate recurring processes. You’ll work hands-on across data analysis, reporting, platform integrations and automation - gathering requirements, analysing data from multiple sources, building data models, and helping teams establish reliable metrics and structures for internal stakeholders and clients.

This role increasingly works with data held in a cloud data warehouse, using modern data-transformation practices, so SQL is essential.

WHAT YOU’LL DO:

• Analyse data generated by Support and Operations activities, as well as data required by other business teams, to identify trends, answer operational questions and support evidence-based decisions.
• Gather, clarify and document reporting and analytics requirements from stakeholders, including account management, customers, product development and other relevant teams.
• Use SQL to query, validate, combine and investigate data, primarily through the company’s data warehouse.
• Develop, maintain and improve dashboards, reports and analytical solutions in Sigma Computing for multiple internal and external stakeholders.
• Contribute to data modelling and transformation activities.
• Integrate and reconcile information from relevant systems, which may include Microsoft Power BI, Excel, Salesforce, Monday.com and warehouse data.
• Automate recurring reporting and operational tasks to improve accuracy, consistency and efficiency.

WHAT YOU’LL BRING

• Working knowledge of SQL, with the ability to write queries for data extraction, filtering, joins, aggregation and validation.
• Experience in data analysis and analytics, including interpreting business requirements, investigating data and communicating useful findings.
• Experience with Microsoft Power BI, plus Sigma Computing or another business-intelligence/data-visualisation platform.
• Knowledge of relational databases and core data concepts, with confidence working with structured data.
• Experience handling complex Excel workbooks, including advanced formulas.
• Experience integrating, comparing or reconciling data from multiple sources.
• Strong documentation discipline and experience applying clear, consistent analytical standards.

WHAT YOU’LL BRING

• Snowflake, dbt, Python or R.
• Excel macros or automation.

The monthly salary for this full-time role ranges from €2790 to €3376 gross. This role will also be eligible to take part in Genius Sports Group’s benefits plan.

You will work Monday to Friday, 8-hour days, with a start time between 10:00 and 20:00 (for example 10:00–18:00, 11:00–19:00 or 12:00–20:00).

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.

One team, being brave, driving change

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com.

THE ROLE:

As a Support Services Data and Reporting Analyst, you’ll help teams across Support and Operations use data to make informed decisions, improve performance and automate recurring processes. You’ll work hands-on across data analysis, reporting, platform integrations and automation - gathering requirements, analysing data from multiple sources, building data models, and helping teams establish reliable metrics and structures for internal stakeholders and clients.

This role increasingly works with data held in a cloud data warehouse, using modern data-transformation practices, so SQL is essential.

WHAT YOU’LL DO:

• Analyse data generated by Support and Operations activities, as well as data required by other business teams, to identify trends, answer operational questions and support evidence-based decisions.
• Gather, clarify and document reporting and analytics requirements from stakeholders, including account management, customers, product development and other relevant teams.
• Use SQL to query, validate, combine and investigate data, primarily through the company’s data warehouse.
• Develop, maintain and improve dashboards, reports and analytical solutions in Sigma Computing for multiple internal and external stakeholders.
• Contribute to data modelling and transformation activities.
• Integrate and reconcile information from relevant systems, which may include Microsoft Power BI, Excel, Salesforce, Monday.com and warehouse data.
• Automate recurring reporting and operational tasks to improve accuracy, consistency and efficiency.

WHAT YOU’LL BRING

• Working knowledge of SQL, with the ability to write queries for data extraction, filtering, joins, aggregation and validation.
• Experience in data analysis and analytics, including interpreting business requirements, investigating data and communicating useful findings.
• Experience with Microsoft Power BI, plus Sigma Computing or another business-intelligence/data-visualisation platform.
• Knowledge of relational databases and core data concepts, with confidence working with structured data.
• Experience handling complex Excel workbooks, including advanced formulas.
• Experience integrating, comparing or reconciling data from multiple sources.
• Strong documentation discipline and experience applying clear, consistent analytical standards.

WHAT YOU’LL BRING

• Snowflake, dbt, Python or R.
• Excel macros or automation.

The monthly salary for this full-time role ranges from €2790 to €3376 gross. This role will also be eligible to take part in Genius Sports Group’s benefits plan.

You will work Monday to Friday, 8-hour days, with a start time between 10:00 and 20:00 (for example 10:00–18:00, 11:00–19:00 or 12:00–20:00).

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.

One team, being brave, driving change

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

El Data Scientist existe para habilitar decisiones de producto, negocio y operación mediante el diseño, desarrollo e integración de soluciones analíticas y de machine learning end-to-end.

As a Business Analytics Specialist, you will analyze data across business areas to support performance monitoring and decision-making.

Job Title: Measurement Operations Analyst

Location: Remote - US Only

About InMarket

Since 2010, InMarket has been the leader in 360-degree consumer intelligence and real-time activation for thousands of today’s top brands. Through InMarket’s data-driven marketing platform, brands can build targeted audiences, activate media in real time, and measure success in driving return on ad spend. InMarket’s proprietary Moments offering outperforms traditional mobile advertising by 6x.* Our LCI attribution platform, which won the MarTech Breakthrough Award for Best Advertising Measurement Platform, was validated by Forrester to drive an average of $40 ROAS for our clients.

*Source: Wordstream US Google Display Benchmarks for Mobile Media

About the role

As a Measurement Operations Analyst, you will be responsible for owning all technical and operational aspects of campaigns for the Measurement portion of the business. You will work across multiple systems and teams both internally and externally to ensure optimal results with minimal friction. In this role, you will be working closely with Sales, Measurement Account Managers, Publishers, Agencies and Brands to ensure proper asset implementation and uncover any issues by troubleshooting quickly to resolve. You will also help QA, test, and collect feedback to help shape and build the right products for our business and clients.

Your daily impact as a Measurement Operations Analyst

• Support and work in conjunction with Measurement Account Management team as technical expert on the portfolio of measurement product offerings
• Quality assurance and client facing publisher support of 3rd party tags for implementation- streamlining processes to avoid inaccurate results/corrupt data
• Identifying and troubleshooting discrepancies to resolution
• Subject Matter Expert of measurement dashboards, platforms and pixel generation to support teams cross-functionally in campaign execution
• Technical support partnering with brands and agencies to onboard pixel implementation on websites through testing and validation of custom website measurement product offerings
• Certification/Onboarding of new Publisher Partners
• Reporting oversight to monitor and ensure clean data
• Provide custom/ad-hoc reporting to internal and external parties

Your experience and expertise

• 3+ years work experience in Ad Ops or similar role
• 1+ year(s) client facing experience is preferred
• Proficient in Excel and/or quantitative analysis
• Working knowledge of HTML/JavaScript
• Familiarity with multiple DSPs (ie. DV360, TTD, etc.) and 3rd Party Asset/Tracking providers (ie. DV360, DoubleVerify, MOAT, etc)
• Familiarity with AI tools
• Experience with debugging tools. ie. Charles Web Debugging Proxy, Fiddler, etc.
• Experience with website and cross-device tagging and tracking
• Experience with Clean Room environments is a plus
• Experience in SQL is a plus

Benefits Summary

• Competitive salary, stock options, flexible vacation
• Medical, dental and Flexible Spending Account (FSA)
• Company Matched 401(k)
• Unlimited PTO (within reason)
• Talented co-workers and management
• Agile Development Program (For continued learning/professional development)
• Paid Paternity & Maternity Leave

For candidates in California, Colorado, and New York City, Illinois, Minnesota, New Jersey, Vermont, Washington and Massachusetts the Targeted Base Salary Range for this role is $71,000 -$78,000.

Actual salaries will vary depending on factors including but not limited to work experience, specialized skills and training, performance in role, business needs, and job requirements. Base salary is subject to change and may be modified in the future. Base salary is just one component of InMarket’s total rewards package that also may include bonus, equity, and benefits.  Ask your recruiter for more information!

At InMarket we are committed to a culture that supports diversity, inclusion, belonging and equal opportunity. We celebrate all people and believe everyone deserves respect regardless of race, gender, sexual orientation, backgrounds, experiences, abilities or beliefs.

InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

Join Vonage and help us innovate cloud communications for businesses worldwide! Why this role matters: We are looking for a Data Scientist to own our demand and revenue intelligence capabilities....

About Block Renovation

Block Renovation is rebuilding the $500B+ renovation industry. We’ve built a nationwide platform that connects homeowners with high-quality contractors and brings transparency, predictability, and scalability to home renovation. Our mission is simple but ambitious: empower millions of homeowners to create spaces they love while helping thousands of contractors build thriving businesses. We are a fast-growing, technology-enabled marketplace operating across the U.S., and we’re just getting started.

The Role

We’re looking for a Rev Ops Manager to build and own the reporting layer that tells us what’s actually happening in the business, and then to lead the highest-priority work that comes out of it. To lead high priority projects that drive our business forward, including building and owning the reporting layer that drives insights and steers direction across teams, distilling insights into solutions, and moving quickly to launch projects leveraging AI.

This is a highly cross-functional role for someone who thrives in ambiguity and is excited to solve problems across the business. You’ll sit at the intersection of strategy, data, execution, and AI, with direct visibility into the company’s most important decisions. Reporting to the COO, you’ll work across teams to identify opportunities, shape priorities, and turn ideas into

What You’ll Do

Drive Revenue & Business Impact

• Identify and lead the highest-priority strategic initiatives that drive revenue, growth, and efficiency.
• Use data and business insights to identify opportunities, size their potential impact, and develop a plan to capture them.
• Partner cross-functionally to take initiatives from idea through execution, owning outcomes rather than simply making recommendations.
• Continuously look for opportunities to improve conversion, increase revenue, reduce costs, and make the business more efficient.

Own Business Reporting & Analytics

• Own leadership, Board, and investor reporting end-to-end, including the underlying queries, data integrity, metrics, and first draft of the narrative.
• Build the reporting and analytical infrastructure that a clear view of business performance; including recurring reporting to run with minimal manual intervention.
• Be the analytical partner to Sales: own pipeline reporting, conversion and cohort analysis, rep performance visibility, and forecast support so Sales leadership can focus on coaching and execution.
• Own contractor network analytics, including subscription performance, profile health, supply and market coverage, retention, and churn.

Turn Data Into Action

• Identify trends, opportunities, and problems before they become obvious to the rest of the organization.
• Turn qualitative and quantitative signals—including support tickets, sales calls, and contractor conversations—into recurring insights that inform Product and GTM decisions.
• Partner closely with Engineering to translate operational and data needs into technical solutions.

Build Operational Leverage & Automation

• Own vendor and cost visibility, including contract inventory, renewal tracking, and spend benchmarking.
• Build scalable processes, systems, and workflows in partnership with the teams that will ultimately operate them.
• Lead cross-functional execution across Engineering, Sales, CX, Finance, and other teams to turn analysis into shipped outcomes.
• Use AI-native tools, automation, and reusable workflows to eliminate repetitive work and create leverage for yourself and the broader organization.
• Apply judgment where automation falls short—we value accurate, honest answers over confident but incorrect ones

What We’re Looking For

• At least 5+ years of experience revenue operations, business operations, strategy, consulting, analytics, or marketplace operations,
• A scrappy, hands-on operator who is willing to roll up their sleeves and solve problems themselves.
• AI-native: automation is how you work, not a tool you occasionally reach for. You codify recurring analysis into repeatable workflows and build leverage for the rest of the team—not just yourself.
• Strong analytical and problem-solving skills, with a demonstrated ability to turn data into action—and to own the numbers, including when they’re wrong.
• Fluency with SQL and modern data/BI tools. You can get to the answer yourself without waiting on Engineering.
• Highly organized, with a track record of managing complex, cross-functional initiatives from start to finish.
• Comfortable operating with significant autonomy and ambiguity. Nobody here will hand you a prioritized queue.
• Experience partnering closely with Sales, Product and Engineering teams.
• Strong written and verbal communication skills. You’ll write things the CEO and Board read.

Compensation & Benefits

• Equity in an early-stage, high-growth company
• Hybrid flexibility + “work from anywhere” time
• Health, dental, and vision insurance
• 401(k) with match
• 12 weeks fully paid family leave
• PTO

Block Renovation is proud to be an equal opportunity employer and is committed to building an inclusive, diverse workplace.

Job Title: Measurement Operations Analyst

Location: Remote - US Only

About InMarket

Since 2010, InMarket has been the leader in 360-degree consumer intelligence and real-time activation for thousands of today’s top brands. Through InMarket’s data-driven marketing platform, brands can build targeted audiences, activate media in real time, and measure success in driving return on ad spend. InMarket’s proprietary Moments offering outperforms traditional mobile advertising by 6x.* Our LCI attribution platform, which won the MarTech Breakthrough Award for Best Advertising Measurement Platform, was validated by Forrester to drive an average of $40 ROAS for our clients.

*Source: Wordstream US Google Display Benchmarks for Mobile Media

About the role

As a Measurement Operations Analyst, you will be responsible for owning all technical and operational aspects of campaigns for the Measurement portion of the business. You will work across multiple systems and teams both internally and externally to ensure optimal results with minimal friction. In this role, you will be working closely with Sales, Measurement Account Managers, Publishers, Agencies and Brands to ensure proper asset implementation and uncover any issues by troubleshooting quickly to resolve. You will also help QA, test, and collect feedback to help shape and build the right products for our business and clients.

Your daily impact as a Measurement Operations Analyst

• Support and work in conjunction with Measurement Account Management team as technical expert on the portfolio of measurement product offerings
• Quality assurance and client facing publisher support of 3rd party tags for implementation- streamlining processes to avoid inaccurate results/corrupt data
• Identifying and troubleshooting discrepancies to resolution
• Subject Matter Expert of measurement dashboards, platforms and pixel generation to support teams cross-functionally in campaign execution
• Technical support partnering with brands and agencies to onboard pixel implementation on websites through testing and validation of custom website measurement product offerings
• Certification/Onboarding of new Publisher Partners
• Reporting oversight to monitor and ensure clean data
• Provide custom/ad-hoc reporting to internal and external parties

Your experience and expertise

• 3+ years work experience in Ad Ops or similar role
• 1+ year(s) client facing experience is preferred
• Proficient in Excel and/or quantitative analysis
• Working knowledge of HTML/JavaScript
• Familiarity with multiple DSPs (ie. DV360, TTD, etc.) and 3rd Party Asset/Tracking providers (ie. DV360, DoubleVerify, MOAT, etc)
• Familiarity with AI tools
• Experience with debugging tools. ie. Charles Web Debugging Proxy, Fiddler, etc.
• Experience with website and cross-device tagging and tracking
• Experience with Clean Room environments is a plus
• Experience in SQL is a plus

Benefits Summary

• Competitive salary, stock options, flexible vacation
• Medical, dental and Flexible Spending Account (FSA)
• Company Matched 401(k)
• Unlimited PTO (within reason)
• Talented co-workers and management
• Agile Development Program (For continued learning/professional development)
• Paid Paternity & Maternity Leave

For candidates in California, Colorado, and New York City, Illinois, Minnesota, New Jersey, Vermont, Washington and Massachusetts the Targeted Base Salary Range for this role is $71,000 -$78,000.

Actual salaries will vary depending on factors including but not limited to work experience, specialized skills and training, performance in role, business needs, and job requirements. Base salary is subject to change and may be modified in the future. Base salary is just one component of InMarket’s total rewards package that also may include bonus, equity, and benefits.  Ask your recruiter for more information!

At InMarket we are committed to a culture that supports diversity, inclusion, belonging and equal opportunity. We celebrate all people and believe everyone deserves respect regardless of race, gender, sexual orientation, backgrounds, experiences, abilities or beliefs.

InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

Join Vonage and help us innovate cloud communications for businesses worldwide! Why this role matters: We are looking for a Data Scientist to own our demand and revenue intelligence capabilities....

EnergyHub is working to enable a carbon-free, distributed energy future by seamlessly integrating enormous numbers of energy devices with the electric power grid. Our platform coordinates and collects terabytes of data from what will soon be more than 1,000,000 distributed energy devices, such as thermostats, electric vehicles and home batteries.

Coordinating and evaluating the performance of all of these devices to forecast and estimate the delivered grid value requires state-of-the-art data science, control systems and machine learning. As such, EnergyHub seeks to hire an Energy Data Scientist to join EnergyHub’s Analytics Engineering team. As an Energy Data Scientist you will work closely with other data scientists and analytics engineers to improve the models used for evaluation of our control algorithms. You will collaborate with the Data Science and Power Systems Intelligence team to understand the algorithms and optimizations used in order to improve our performance evaluation and forecasting abilities. You will also contribute to our data management software systems and will become core to the foundation of a future with carbon-free and distributed energy.

What you will do:

• You will drive the development of M&V methodologies and data science models for more accurate and transparent evaluation of our advanced grid services from fleets of distributed energy resources.
• You will write production-level code, prototype new data products, and apply machine learning algorithms to energy IoT data
• You will work to translate data from one of the largest distributed energy datasets in the electricity industry into actionable insights for electric utilities and other energy industry stakeholders
• You will collaborate closely with stakeholders inside and outside of EnergyHub including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams.
• Other duties as assigned

Who you are:

• You are passionate about enabling a carbon-free, distributed energy future
• You thoroughly enjoy finding valuable insights in large, complex datasets
• You have experience with Python and the scientific stack (pandas, numpy, scipy)
• You have proficiency in SQL and understand good data modeling practices (basic ETL/ELT)
• You have a practical comprehension of basic machine learning algorithms and are familiar with popular software packages such as Sklearn and Tensorflow.
• You can explain results from large-scale data analyses to diverse audiences in a way that is clear, interesting and actionable
• You can have fun while working on really hard problems with really smart people

Bonus points if:

• You have experience in the measurement and verification (M&V) of control and optimization of distributed energy resources
• You have experience in using Snowflake, dbt and understanding analytics engineering development practices
• You have experience with at least one BI tool such as Sigma, Tableau, Looker, etc)
• You have experience with scaling data science products in the cloud (e.g., Databricks, AWS, GCP, Azure)
• You have a strong background in mathematics and statistics
• You have power systems expertise, including three-phase distribution network modeling

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

Why work for EnergyHub?

• Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
• Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team!
• Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Work with the latest technologies: You’ll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
• Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.

About EnergyHub

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.

To learn more, visit energyhub.com.

Company Benefits

EnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer a casual environment, the flexibility to set your own schedule, a fully stocked fridge and pantry, free Citi Bike membership, secure bike rack, gym subsidy, paid parental leave, and an education assistance program.

EnergyHub is an Equal Opportunity Employer

EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net.

In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:

EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.

The base salary range of this opportunity is listed below and is determined within a range based on factors including qualifications, location and experience.  This allows opportunity for growth and development within the role.  The base salary offered is part of a total compensation package.

Base Salary Range

$100,000—$156,750 USD

About Gusto

At Gusto, we’re on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

Gusto’s Customer Experience team is changing how we serve small businesses: new service models, a telephony platform migration, and the data infrastructure to support both. We are hiring a Business Intelligence Analyst to own the data layer that makes this work.

You will build the pipelines, models, and dashboards that make CX data trustworthy and self-serve, then use that foundation to answer causal questions about what actually moves customer outcomes. The strongest candidates pair real coding and statistical depth with the judgment to know which question is worth answering.

About the Team:

CX Data and Insights is the analytical backbone of Gusto’s Customer Experience organization. We define the metrics CX leaders run the business on, and we produce the analysis that shapes operational roadmap decisions.

Here’s what you’ll do day-to-day:

• Lead: Own ambiguous problems, design analysis and measurement frameworks, and introduce policies and practices by which data integrity is monitored and enforced within your domain.
• Execution: Deliver multiple high-impact projects, balancing trade-offs to maximize business value, and maintain clear expectations of deliverables and timelines.
• Strategic Partnership: Partner with CX leaders, cross-function data-science teams, tool developers (i.e. Salesforce), and data engineering to align on strategy.
• Analytical Rigor: Apply advanced statistical methods and AI-driven anomaly detection to proactively uncover opportunities, diagnose performance issues, and shape CX strategy, separating signal from noise. Navigate messy, conflicting data sources to establish reliable sources of truth. Use AI to accelerate hypothesis generation, code drafting, cross-source reconciliation, validation, and build agents to automate repetitive tasks.
• Develop and scale reporting: define DBT and Snowflake data pipeline requirements for evolving CX data sources, and build and maintain monitoring systems and streamlit dashboards for day-to-day operation and self-serve insights.
• Independence: Work with minimal guidance to prioritize, create, and deliver data projects, proactively resolving conflicts or misalignment across stakeholders.
• Scale the Craft: Up-level the team’s best practices in data modeling and schema design, expand our toolsets (e.g., Databricks for AI-augmented modeling and anomaly detection) where they accelerate CX outcomes, drive improvements in data quality, rigor, and adoption of better data capabilities, and mentor other data practitioners.
• Communication: Present complex findings in a structured, compelling way to technical and non-technical stakeholders, fostering a data-informed mindset across the company.

Here’s what we’re looking for:

• 3+ years of experience in Data Analytics, Data Engineering, or Data Governance.
• Strong SQL and Python proficiency, capable of querying and analyzing large datasets with ease.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake.
• Proven experience building and maintaining robust data reporting pipelines and ETL workflows.
• Demonstrated experience designing or operating governance for AI-assisted analytics outputs. At minimum: validation standards for AI-generated code and metric definitions, drift and source-of-truth audits on dashboards that feed operational decisions, and documented rules for when human review is non-negotiable on performance-adjacent data products. Comfort working inside an organization’s AI use policy.
• Clear, direct communication style. You can explain a complex data investigation to a non-technical stakeholder in 1-2 sentences before diving into the details.
• Comfortable working independently, managing competing priorities, and driving projects forward without waiting for perfect requirements.
• Frequent, practical use of AI in analytics workflows with concrete examples (not aspirational interest). You can describe specific ways AI has changed how you scaffold pipelines, write and review code, validate data, or generate documentation, and you know where human verification is non-negotiable.

Our cash compensation amount for this role is $111,160/yr to $138,950/yr in Denver & most major metro locations, and $134,735/yr to $168,419/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto’s subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

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Personal information collected and processed as part of your Gusto application will be subject to Gusto’s Applicant Privacy Notice.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+...

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+...

We’re transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

The Marketing Enablement & Technology (MET) team sits natively within Instacart’s Marketing organization, owning the data foundations that power Paid Marketing, SEO, and Retailer Marketing attribution. These datasets directly inform how we allocate hundreds of millions of dollars in marketing spend and how we measure growth.

We’re hiring an Analytics Engineer II to help build and evolve the marketing analytics data foundation. In this role, you’ll independently design and deliver high-quality, business-aware data models and pipelines that Data Scientists and Analysts trust — owning your work end-to-end, raising the quality bar through code reviews and design discussion, and growing toward broader technical ownership of marketing data.

About the Job

• Marketing Analytics Data Development: Independently build and maintain high-quality dimensional data models and ETL pipelines that support marketing analytics across Paid Marketing, SEO, Retailer Marketing, and attribution — delivering complete data assets end-to-end with minimal oversight.
• Cross-functional Partnership: Work closely with Data Scientists, Analysts, and Marketing stakeholders to translate analytical needs and business questions into data requirements, and deliver trusted, decision-ready datasets.
• Data Quality Ownership: Own data quality for the models you build — writing tests, documentation, and monitoring, and resolving data issues at their root cause across the marketing workflows you support.
• Code Review & Design: Conduct thorough code reviews, write and share designs publicly before building, and apply simple, reusable modeling patterns that leave the codebase better than you found it.
• Pipeline Evolution & Observability: Improve existing marketing data pipelines to reduce manual effort and improve performance, enhance observability (logging, metrics, freshness and quality checks), and participate in incident response for the data platform.

About You

Minimum Qualifications

• 3–5 years of experience in Analytics Engineering, Data Engineering, or closely related roles, with hands-on ownership of production data models and pipelines.
• Strong SQL skills and hands-on experience building well-architected dimensional data models (star schemas, fact/dimension tables, SCDs).
• Hands-on experience with the modern data stack, including dbt, Snowflake, and Airflow.
• Working knowledge of marketing data and metrics — including paid media performance, attribution concepts, and channel-level measurement — or the ability to ramp quickly.
• Demonstrated ability to deliver complete data models and pipelines independently, manage multiple priorities, and write clean, well-documented, well-tested code.
• Effective communicator who can collaborate across data, marketing, and engineering teams to understand requirements and deliver solutions.

Preferred Qualifications

• Experience partnering with Data Scientists on experimentation, attribution, or incrementality measurement.
• Familiarity with marketing platforms (ie Google Ads, Meta, Google Analytics, SEO tooling).
• Python experience for automation or advanced transformations.
• Comfort using AI-assisted developer tools to improve code quality and speed (e.g., generating tests, validating logic, comparing suggestions).
• Experience contributing to analytics engineering best practices such as testing, documentation, or data quality standards.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN

$145,000—$153,000 CAD

About Sittercity

Sittercity, a Bright Horizons company, is a technology platform working to reimagine the child care industry. Finding, hiring and managing high-quality, trustworthy and enriching child care has never been simple, for parents or caregivers. We want to change that. At Sittercity, you can imagine and create solutions that will revolutionize a multi-billion industry and bring relief to parents and care providers alike, all while having a lot of fun! Boost your career as we launch into our next phase of growth and help build a platform that changes the way child care works.

The Opportunity

As an Analytics Manager working with our marketing and product operational teams, you will be instrumental in helping Sittercity achieve its mission to make child care finally work. You will join our analytics organization, which powers data-driven decision making throughout Sittercity. In this role, you will work closely with our business teams to shape strategy and drive growth at the company.

Key Responsibilities

• Investigate business questions and provide teams with actionable insights that drive value
• Maintain and augment our data model and Looker instance to enable company-wide data literacy
• Communicate with executives and key stakeholders through presentations, well-designed data visualizations and interactive dashboards
• Define testing frameworks and success criteria to quantify performance and inform strategy
• Build unit-economic models for a subscription business including marketing attribution, retention, cohort forecasting, and customer segmentation
• Partner with Product and Engineering to improve tracking within our applications, allowing for better visibility into customer behavior

Required Qualifications

• Analytically minded, focused on the business implications of data
• Experience presenting technical concepts to non-technical audiences
• Proficiency in SQL and familiarity with relational databases
• Advanced Excel skills
• Bachelor’s Degree or equivalent experience
• 3-4+ years of experience in a data-driven field (analytics, consulting, digital advertising, eCommerce etc.)

Desired Qualifications

• Familiarity with scripting languages that support data manipulation (Python preferred)
• Experience creating data visualizations and interactive dashboards (Looker preferred)
• Experience designing and measuring A/B tests in a product or marketing capacity
• Experience using raw event data in analysis

Why you should join us

Recognized as one of the best places to work by Built In Chicago, we offer an inclusive, innovative, and fun environment that rewards passionate and curious individuals. You will have an opportunity to influence our [product and technology] in an entrepreneurial environment with enterprise backing that has a huge impact on the childcare industry.

Salary and Other Compensation Disclosures

The annual starting salary for this position is between $110,000 - $120,000 annually. The pay range listed here is what Sittercity in good faith anticipates offering for this job opening. Actual compensation offered within this range will depend on a variety of factors including experience, education and training, certifications, geography, and other relevant business or organizational factors. This position is also eligible for bonus awards.

Benefits:

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, and short-term disability insurance. Also, depending on hire date and subject to applicable eligibility requirements and accrual schedules, new employees in this role receive up to: 9 paid holidays annually; 40 hours of sick time per year based on full-time schedule, and 80 hours of vacation time per year based on full-time schedule (vacation time may be used for sick leave purposes under any applicable state or local sick or safe time law).

Perks:

• Remote Role
• Company events, social outings and volunteer opportunities
• Tuition assistance, college coach, and enhanced family support
• Sittercity membership, backup child/adult/elder care, and childcare center discounts

Sittercity is committed to hiring a diverse workforce.  We consider all applicants for employment without regard to race, color, sex, sexual orientation, gender identity, religion, age, national origin, disability, veteran status, or any other basis as prohibited by federal, state or local law. Sittercity participates in E-Verify and background checks all employees.

This role must be performed remotely in IL, MA, NJ, NY, OH, OR, TX, CO, NH, VT, WA, WI, FL,GA

This posting is anticipated to remain open until October, 2026.

Description

Who are we, and why are we hiring?

We’re based on over 15 years of success, producing world-class video content and building, developing, and managing a number of high-traffic websites. Our award-winning content and websites are created exclusively by us and directly for the use of millions of users worldwide. At Kodify, we’re not just pushing boundaries in online entertainment—we’re rewriting the script! Our goal is to empower our people with everything they need to pioneer innovation in our industry. Our culture is our secret sauce, and we’re committed to preserving and enhancing it every step of the way.

Join our crew, where the Kodify team is not just an asset, it’s our crown jewel. We prioritize their growth and well-being above all else, ensuring they’re set up for success and always inspired to deliver their best work.

As a rapidly expanding company with diverse hubs across the globe and over 20 vibrant national cultures, working with us means embracing thrilling challenges tailor-made for a star BI Engineer!

At Kodify, data is at the heart of how we make decisions. From product and marketing to finance and operations, every team relies on trustworthy data delivered at the right time. We’re looking for a BI Engineer to sit exactly where the technical and the analytical meet — building the models and pipelines that produce the numbers, and the reporting and analysis that make those numbers useful to the business.

What will you do?

• You’ll work on a data platform that supports products serving close to 100M unique visitors a month.

• Reporting & dashboards - Design and own dashboards that people actually use to make decisions. Not screenshot factories, living products with an owner and a purpose.

• Analysis - Answer real business questions end to end: LTV and retention, subscriptions, sales volume and take rate, production and content performance. Find the “why” behind the number, and say so clearly.

• Modeling - Build and maintain dbt models, staging through marts. Conventions, tests, and documentation included, not bolted on later.

• Pipelines - Work on our Python ETL: ingestion from billing APIs, Postgres, MongoDB, and our columnar layer. Build new sources, fix what’s fragile, and improve error handling and observability.

• Quality - Test your own work and validate numbers before a stakeholder does. If a dashboard is wrong, you care.

• Stakeholders - Translate vague asks into scoped questions. Push back on requests that shouldn’t be built, and propose the version that should.

• Enablement - Help business teams answer their own recurring questions, so capability moves out of BI rather than piling up inside it.

• Duties - Becoming a valued team member, providing feedback about tech, development lifecycle and processes. Take ownership of your code / task / role.

• Goal - Be the reason the business trusts its numbers — and be one of the driving forces behind always making it better.

Requirements

• Experience as a BI Engineer, Data Engineer, Analytics Engineer, Data Analyst with engineering depth, or similar. Comfortable on both sides of the line.

• Strong SQL, ideally PostgreSQL: complex transformations, window functions, and enough performance awareness to know why your query is slow.

• Solid Python for data work: pipelines, scripting, APIs, data manipulation. You can pick up an existing ETL codebase and extend it.

• Experience with dbt: models, tests, macros, and documentation, working within an existing project’s conventions.

• Production experience with a BI/visualization tool (Superset, Tableau, Power BI, Looker, or similar), including the modeling layer underneath it, not just the drag-and-drop.

• Solid building experience using AI - understanding AI harnessing best practices such asclaude.md, hooks, skills, rules, mcps, plugins etc.

• Genuinely up to date on where AI is going: you follow what’s changing in models, agents, and tooling, and you have opinions about what’s useful versus hype. We expect you to use AI daily and to bring new ways of working to the team, not wait to be shown them.

• Experience working with dimensional / analytical models and warehouses.

• Comfort with Git, code review, and modern software engineering practices applied to data.

• Genuine business curiosity. You want to know how the company makes money, not just what the schema looks like.

• Clear communication with non-technical stakeholders. You can explain a discrepancy without hiding behind the pipeline.

• Strong sense of ownership. You don’t wait to be told something is broken.

• A team player who likes to help others and solve problems together.

• Investigation of new technologies.

• You have a real ‘Can Do’ work ethic - We are results-based, not clock-based!

• You love to have fun while you work!

Nice to have:

• Experience with a columnar/analytical database (ClickHouse, BigQuery, Snowflake, Redshift or similar)

• Exposure to a semantic/metrics layer (Cube.dev, dbt MetricFlow, LookML, or similar)

• Web analytics experience: event tracking, funnels, attribution, session and behavioural data (GA4, Amplitude, Mixpanel, or similar)

• MongoDB as a source system

• Data cataloging, documentation, or lineage tooling (OpenMetadata, DataHub, or similar)

• Docker

• AWS

• Experience with high-traffic / high-volume data environments

• Understanding of Agile principles

• Experience working remotely

Where and when:

From wherever you want, the position is fully remote in the EU.

We’re very flexible about when you get your work done, but we do have some core hours where we like to overlap in order to promote collaboration and low-latency communication between team members (10:00 to 15:00 CET/CEST). Our daily virtual stand-ups are important for us but other than that, you’re free to manage your own time.

What we offer:

• Fully remote position or, if preferred, working in our awesome Barcelona office!

• Agile environment

• Top-notch tech stack!

• Flexible working hours + core hours!

• 10% on top of your salary for learning and development - of your choice!

• Latest tech equipment - Macbook Pro

• Company Amazon book account!

• Kodify off-sites, on-sites, events, and team activities!

• Amazing international team!

• 1 day off on your birthday

• Generous vacation and personal days

• 1 month paid sabbatical after 3 years

• Health & Wellness budget

Description

Who are we, and why are we hiring?

We’re based on over 15 years of success, producing world-class video content and building, developing, and managing a number of high-traffic websites. Our award-winning content and websites are created exclusively by us and directly for the use of millions of users worldwide. At Kodify, we’re not just pushing boundaries in online entertainment—we’re rewriting the script! Our goal is to empower our people with everything they need to pioneer innovation in our industry. Our culture is our secret sauce, and we’re committed to preserving and enhancing it every step of the way.

Join our crew, where the Kodify team is not just an asset, it’s our crown jewel. We prioritize their growth and well-being above all else, ensuring they’re set up for success and always inspired to deliver their best work.

As a rapidly expanding company with diverse hubs across the globe and over 20 vibrant national cultures, working with us means embracing thrilling challenges tailor-made for a star BI Engineer!

At Kodify, data is at the heart of how we make decisions. From product and marketing to finance and operations, every team relies on trustworthy data delivered at the right time. We’re looking for a BI Engineer to sit exactly where the technical and the analytical meet — building the models and pipelines that produce the numbers, and the reporting and analysis that make those numbers useful to the business.

What will you do?

• You’ll work on a data platform that supports products serving close to 100M unique visitors a month.

• Reporting & dashboards - Design and own dashboards that people actually use to make decisions. Not screenshot factories, living products with an owner and a purpose.

• Analysis - Answer real business questions end to end: LTV and retention, subscriptions, sales volume and take rate, production and content performance. Find the “why” behind the number, and say so clearly.

• Modeling - Build and maintain dbt models, staging through marts. Conventions, tests, and documentation included, not bolted on later.

• Pipelines - Work on our Python ETL: ingestion from billing APIs, Postgres, MongoDB, and our columnar layer. Build new sources, fix what’s fragile, and improve error handling and observability.

• Quality - Test your own work and validate numbers before a stakeholder does. If a dashboard is wrong, you care.

• Stakeholders - Translate vague asks into scoped questions. Push back on requests that shouldn’t be built, and propose the version that should.

• Enablement - Help business teams answer their own recurring questions, so capability moves out of BI rather than piling up inside it.

• Duties - Becoming a valued team member, providing feedback about tech, development lifecycle and processes. Take ownership of your code / task / role.

• Goal - Be the reason the business trusts its numbers — and be one of the driving forces behind always making it better.

Requirements

• Experience as a BI Engineer, Data Engineer, Analytics Engineer, Data Analyst with engineering depth, or similar. Comfortable on both sides of the line.

• Strong SQL, ideally PostgreSQL: complex transformations, window functions, and enough performance awareness to know why your query is slow.

• Solid Python for data work: pipelines, scripting, APIs, data manipulation. You can pick up an existing ETL codebase and extend it.

• Experience with dbt: models, tests, macros, and documentation, working within an existing project’s conventions.

• Production experience with a BI/visualization tool (Superset, Tableau, Power BI, Looker, or similar), including the modeling layer underneath it, not just the drag-and-drop.

• Solid building experience using AI - understanding AI harnessing best practices such asclaude.md, hooks, skills, rules, mcps, plugins etc.

• Genuinely up to date on where AI is going: you follow what’s changing in models, agents, and tooling, and you have opinions about what’s useful versus hype. We expect you to use AI daily and to bring new ways of working to the team, not wait to be shown them.

• Experience working with dimensional / analytical models and warehouses.

• Comfort with Git, code review, and modern software engineering practices applied to data.

• Genuine business curiosity. You want to know how the company makes money, not just what the schema looks like.

• Clear communication with non-technical stakeholders. You can explain a discrepancy without hiding behind the pipeline.

• Strong sense of ownership. You don’t wait to be told something is broken.

• A team player who likes to help others and solve problems together.

• Investigation of new technologies.

• You have a real ‘Can Do’ work ethic - We are results-based, not clock-based!

• You love to have fun while you work!

Nice to have:

• Experience with a columnar/analytical database (ClickHouse, BigQuery, Snowflake, Redshift or similar)

• Exposure to a semantic/metrics layer (Cube.dev, dbt MetricFlow, LookML, or similar)

• Web analytics experience: event tracking, funnels, attribution, session and behavioural data (GA4, Amplitude, Mixpanel, or similar)

• MongoDB as a source system

• Data cataloging, documentation, or lineage tooling (OpenMetadata, DataHub, or similar)

• Docker

• AWS

• Experience with high-traffic / high-volume data environments

• Understanding of Agile principles

• Experience working remotely

Where and when:

From wherever you want, the position is fully remote in the EU.

We’re very flexible about when you get your work done, but we do have some core hours where we like to overlap in order to promote collaboration and low-latency communication between team members (10:00 to 15:00 CET/CEST). Our daily virtual stand-ups are important for us but other than that, you’re free to manage your own time.

What we offer:

• Fully remote position or, if preferred, working in our awesome Barcelona office!

• Agile environment

• Top-notch tech stack!

• Flexible working hours + core hours!

• 10% on top of your salary for learning and development - of your choice!

• Latest tech equipment - Macbook Pro

• Company Amazon book account!

• Kodify off-sites, on-sites, events, and team activities!

• Amazing international team!

• 1 day off on your birthday

• Generous vacation and personal days

• 1 month paid sabbatical after 3 years

• Health & Wellness budget

Job Title: Operational Business Analyst & Incident Manager Location Preference: 100% remote in LATAM working EST Time Zone Duration: 1-Year Assignment with possibility of extension Freelance Rate Range: $27-28/hr USD based on relevant...