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Frontend Data Analyst Jobs (NOW HIRING)

Numerator

Sr. Data Scientist II

Chicago, IL

... into data-driven products, analytics methodologies, and new offerings that drive measurable ... back-end and front-end data services * Lead and deliver complex projects involving data and ...

Staffingine LLC

Fullstack Frontend Engineer

Boston, MA · On-site

Develop data visualization components using AgGrid Community Edition D3js Recharts and Chartjs for ... web analytics implementations * Strong proficiency in React including Hooks Context API and ...

The Work-Life Group

Data Scientist

Bethesda, MD · On-site

Responsibilities : • Build and assess analytic models tailored to mission-specific needs • ... with Front-end data visualization libraries (i.e., D3.js; Raphael.js, etc.) Company : We help ...

Atria Group LLC

BI Data Analyst

Addison, TX

R Programming SQL Data Analysis Specific Accountabilities/Essential Functions of Position ... front-end tools Leverage advanced software functionality to create user guided dashboards ...

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As of May 30, 2026, the average yearly pay for frontend data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
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Frontend Data Analyst jobs near you
Sr. Data Scientist II

Sr. Data Scientist II

Numerator

Chicago, IL

Other

Posted 27 days ago

Job description

Numerator is seeking a Sr. Data Scientist to help build, enhance, and scale data science services across our rapidly evolving data platform. You’ll work end-to-end on initiatives that turn massive proprietary datasets into impactful, production-grade solutions.

This is a highly autonomous, product-focused role. You’ll partner with Product, Data, and Engineering teams to translate customer needs into data-driven products, analytics methodologies, and new offerings that drive measurable business impact.

How You'll Spend Your Time:

  • Perform as a Sr. Data Scientist by leading execution and technical planning within the organization and team, along with mentoring other Data Scientists

  • Ideate and implement discoveries to build new product features & data products, and improve existing methodologies & algorithms

  • Collaborate across Product, Data, and Engineering teams to identify, investigate, integrate, and deliver solutions related to back-end and front-end data services

  • Lead and deliver complex projects involving data and statistical modeling (e.g. sampling, forecasting, segmentation, classification, predictive modeling, etc.)

  • Regularly communicate outcomes, new initiatives, and improvements to stakeholders

  • Serve as a data science subject matter expert for both internal and external stakeholders


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