Client Insights Data Analyst

Analyze Medicaid claims, visit, and billing data for fraud detection.

Develop detection queries and analytics logic to identify fraud patterns.

Offering remote Data Science Internship

Position can be done anywhere in the United States

Lead product design strategy and mentor senior designers

Integrate AI into design workflows

Drive data-driven decisions to inform growth and profitability

Build rapid business cases to quantify opportunity value

Research and synthesize challenges

Connect teams to surface insights

Own customer reporting and analysis

Build SQL queries in Snowflake

Analyze complex product and user behavior data

Identify key metrics, trends, and customer pain points

Develop data-grounded AI market view

Provide market context for decisions

Lead and develop a high-performing team in economic research

Influence business direction through research insights

Analyze complex product and user behavior data

Identify key metrics, trends, and customer pain points

Own customer reporting and analysis across key metrics

Write, maintain, and optimize complex SQL queries

Analyze product and user behavior data to identify key metrics and trends

Collaborate with Product to define success metrics and solutions

Develop high-impact data science projects

Design, train, and validate statistical and ML models

Develop high-impact data science projects

Train and validate ML models

Analyze complex product and user behavior data to identify key metrics, trends, and customer pain points.

Partner with Product to frame problems, define success metrics, and identify data-backed solutions.

Own customer reporting and analysis

Partner with internal teams to define analytical requirements

Analyze customer sentiment data to identify pain points & opportunities

Create presentations combining quantitative findings with qualitative insights

Analyze complex product and user behavior data

Quantify the impact and ROI of opportunities

Analyze product and user behavior data

Quantify impact and ROI

Analyze customer sentiment data to identify pain points and opportunities

Create presentations combining quantitative and qualitative findings

Analyze customer sentiment data to identify pain points & opportunities

Create presentations combining quantitative & qualitative insights

Analyze customer sentiment data to drive improvements in customer experiences

Collaborate with stakeholders to identify pain points and opportunities

Analyze product and user behavior data to identify key metrics and trends

Partner with Product to frame problems and define success metrics

Analyze customer sentiment data to identify pain points and opportunities

Measure impact on KPIs using internal data from various sources

Analyze customer sentiment data to identify pain points & opportunities

Create presentations combining quantitative findings with qualitative insights

Analyze customer sentiment data to identify pain points & opportunities

Use internal data to assess impact on KPIs

Design and develop high-quality fullstack web solutions

Identify and solve complex, high-impact problems

Analyze complex product and user behavior data

Quantify impact and ROI of opportunities

Analyze customer sentiment data to identify pain points

Create presentations combining quantitative and qualitative insights

Develop and implement risk strategies

Collaborate with various teams

Analyze customer sentiment data to identify pain points and opportunities

Create presentations combining quantitative findings with qualitative insights

Analyze threat actor behavior and evolving abuse patterns

Implement state-of-the-art LLM-driven techniques for abuse detection

Analyze product and user behavior data to identify key metrics and trends

Collaborate with Product team to frame problems and define success metrics

Analyze customer sentiment data

Create presentations with insights

Analyze customer sentiment data to identify pain points and opportunities.

Create presentations combining quantitative findings with qualitative insights.

Own customer reporting and analysis

Build and maintain standardized datasets and reporting frameworks

Analyzing customer sentiment data to identify pain points and opportunities

Creating presentations combining quantitative findings and qualitative insights

Analyze customer sentiment data

Create presentations combining quantitative & qualitative insights

Develop and maintain GNSS flight and ground software

Collaborate with flight ops and science teams

Analyze customer sentiment data to identify pain points & opportunities

Size impact on KPIs by pulling internal data across different sources

Conduct deep-dive analysis of feature success and retention

Collaborate with cross-functional teams on product planning

Analyzing customer sentiment data to identify pain points & opportunities

Creating presentations combining quantitative findings with qualitative insights

Analyze customer sentiment data

Create presentations with insights

Analyze customer sentiment data

Create presentations combining findings

Develop and maintain financial models

Produce performance-to-plan analyses

Analyze customer sentiment data

Create presentations combining quantitative and qualitative insights

Support product squads and collaborate with various teams

Measure impact and present findings

Own customer reporting and analysis

Build and maintain standardized customer datasets and reporting frameworks

Analyze customer sentiment data to identify pain points & opportunities

Size impact on KPIs through data analysis

Execute commercial strategy and analyses for FanDuel Predicts

Own performance tracking and strategic analyses for the product