Data Innovation Project at Coleridge

Translate Adobe Analytics data into performance insights

Lead reporting discussions and decision frameworks

Enhance tracking and reporting for teams

Collaborate with Data Scientists and Engineers

Develop BI dashboards for actionable insights

Perform ad-hoc analyses to surface trends

Serve as the primary marketing technology contact for CDP clients.

Develop strategic roadmap for CDP activation.

Lead data science projects and deliver predictive models to drive revenue

Improve understanding of customer value and behaviors

Collaborate with cross-functional teams

Develop end-to-end features with observability

Identify and build marketing strategies via data analysis

Create test designs to quantify performance

Design and build metrics for analysis

Create business documentation and guides

Create and implement marketing analytics strategy

Build and lead an analytics team

Analyze research data and product initiatives

Support pharma partnerships and conference materials

Design and implement performance metric frameworks

Collaborate with data engineers

Engage with stakeholders to define analytics priorities

Develop datasets and dashboards in agile sprints

Strategically engage with enterprise clients

Create client-ready presentations with narratives

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