The Senior Clinical Data Analyst will advance ComPsych’s clinical quality, outcomes measurement, and thought leadership by analyzing and reporting on clinical outcomes and satisfaction data and supporting special research initiatives, contributing to high-quality, evidence-based care at scale.
Analyze user behavior to identify trends and opportunities for improving product performance and engagement. Define, monitor, and report on key product KPIs to ensure alignment with business objectives. Collaborate with Product Managers, Engineers, and Designers to drive data-driven decision-making, as well as create dashboards and visualizations to effectively communicate insights to stakeholders.
The Mid-Level Data Analyst will be responsible for data analysis and reporting using the Microsoft Suite and other business intelligence tools. Responsibilities include working with clients to elicit and document requirements, participating in data calls, and verifying data quality. The role involves planning, prioritizing, and executing in a fast-paced environment, and making recommendations for data products.
We are looking for a mission-minded product analyst to join our Innovation Lab Product R&D Team to build AskCR, a pro-consumer, expert-backed AI that offers advice using CR’s trusted information. As the Product Analyst, you’ll play a critical role in shaping and scaling an AI product rooted in institutional integrity, human expertise, and consumer protection.
As a Lead Data Scientist, you will design and implement statistical methodologies to advance our consumer panel products, spanning sampling, calibration, projection, and panel data modeling. Collaboration with cross-functional teams, prototyping and deploying solutions, and presenting findings and recommendations will be crucial. This role offers flexible work arrangements and opportunities for professional growth in a diverse, international environment.
As a Data Analyst on the Data Intelligence team at theScore, you’ll work with key stakeholder groups to leverage data for tracking performance and decision-making, contributing to profitability, growth, and user experience improvements through data-driven solutions. The ideal candidate will have strong communication skills, a passion for data, a background in quantitative analysis, and an interest in professional sports, betting & eSports.