The Senior Data Analyst will take ownership of business intelligence and analytics initiatives. This person will play a critical part in shaping the data culture of our company by defining core business metrics to enabling stakeholder insights through visualizations and deep-dive analyses. This person will work with stakeholders across the company, as well as the executive leadership team, to deliver highly visible analyses.
As a Senior Analytics Engineer at Bungie, you will be responsible for building and extending the data warehouse for our analytics platform, with a primary focus on Marathon. You will design and develop scalable data models that bridge the gap between raw data and business insights. You will work closely with analysts, data scientists, and game developers to understand their analytical needs and transform complex gaming data into accessible, reliable datasets.
The Senior Data Scientist will lead technical innovation to drive targeted outreach and scale Specialty Care utilization, leveraging diverse and novel data sources in close partnership with product, design, and engineering. The ideal candidate will thrive in ambiguity, bring strong analytical expertise, and drive rapid experimentation to surface actionable strategies that improve Specialty Care member engagement and health outcomes.
As a Senior BI and Analytics Engineer at BetterHelp, you’ll deliver scalable, trustworthy, and impactful data solutions that empower teams working on insurance-related initiatives. You will deliver dashboards and ad-hoc analyses with a focus on payer data and health plan performance and ensure data quality and compliance at every stage of the pipeline. You will partner with data and ML engineers and work with a modern data stack: Airflow, FiveTran, Snowflake, dbt, and Looker.
As VP, Data & Technology you will architect this spine, build and inspire a world-class organization (Data Engineering, Data Science / Gen AI, Software Engineering), and partner with Growth, Finance, Actuary, Value Delivery, and Clinical leaders to turn insight into outsized P&L impact. Strategic technology leadership to translate complex analytics into clear, actionable narratives for business and clinical stakeholders.
As a Senior Data Engineer, you’ll play a key role in scaling and refining our data platform. Your mission is to ensure that data across the organization is accurate, accessible, and actionable. You’ll design and maintain robust pipelines, drive monitoring and observability strategies, and help shape our data governance and quality standards.
Focuses on data integration, engineering, modeling, and business intelligence, with an emphasis on transforming legacy systems into a cloud-native stack using Databricks, dbt, and other cloud platforms. Plays a key role in developing and maintaining scalable, performance-optimized BI solutions and data pipelines, enabling self-service analytics and driving actionable insights across the organization. Ensures the quality and reliability of data.
Lead and grow our data engineering team, overseeing the implementation, integration, and maintenance of client data into SmarterDx products and services. Accountable for team performance including feature delivery, quality, operational excellence, hiring, retention, professional growth, and well-being. Guide the design and implementation of robust ETL pipelines and drive continuous improvement in data processes.
Advance clinical AI by building scalable pipelines and infrastructure for data ingestion, processing, and analysis. Integrate and standardize diverse healthcare data (clinical, coding, billing) and design resilient, fault-tolerant frameworks and data models leveraging AWS (S3, Lambda, Step Functions, Batch). This role spans the full data lifecycle, shaping the foundation for next-generation clinical AI solutions.
Expanding the data modeling layer, building trustworthy foundations for analytics, and enabling teams across the company—from Product to GTM to Finance—with scalable, reliable data. This role will report directly to the Head of Data and you’ll partner with them and our Staff Data Engineer to build a reliable data foundation upon which Honeycomb can scale our business.