Top Data & Analytics Jobs

Lead BI developer owning end-to-end reporting for marketing verticals. Build and standardize dashboards, model complex/third-party data (LookML), partner with Yield, Paid Media, and Account Management to deliver actionable analyses that optimize campaign performance, conversion, and revenue.

Lead the AXE Insights pod for TFT by developing revenue strategies, managing team coordination, and mentoring junior members while focusing on monetization and player experience.

As the Founding Data Lead, you will establish the analytics function, manage high-volume data, and provide insights to inform business decisions.

Build and maintain BigQuery pipelines and a semantic layer (Omni) to enable reliable analytics and AI-driven queries. Partner with Product, Finance, Marketing, and Sales to define metrics, instrument product events, deliver dashboards and analyses, govern metric definitions, and shape the data roadmap as the second data hire.

Lead data architecture and hands-on engineering to build a cloud data warehouse on Snowflake using Data Vault 2.0 and dbt. Design standards, implement ETL/ELT pipelines with Python and SQL, ensure data quality and governance, mentor engineers, and support on-prem to cloud migration.

Deliver and support inbound/outbound EDI (ANSI X12-834) and claims file implementations, perform EDI mapping and testing, monitor file processing, troubleshoot data discrepancies, coordinate cross-functional stakeholders, and maintain data integration documentation and quality controls.

Build and maintain automated ETL/ELT data pipelines, improve data quality and monitoring, optimize Postgres and BigQuery schemas and queries, develop internal tooling, support data governance (HIPAA), participate in on-call rotation, and collaborate across engineering teams to scale data systems.

Lead modernization of the enterprise data platform and build scalable ETL/ELT pipelines using SQL, Python, Talend, and Databricks. Drive migration from DB2/SQL Server to Databricks, set data quality, observability, and lineage standards, design data models, contribute to CI/CD and IaC practices, and mentor junior engineers while partnering with analytics, product, and business stakeholders.

Cellanome is looking for passionate individuals to join their start-up team aimed at tackling significant challenges in biology. They offer diverse roles, emphasizing collaboration, innovative spirit, and career growth opportunities.

Design, build, and maintain scalable data infrastructure and ETL/ELT pipelines in cloud environments. Collaborate with data scientists and engineers to enable ML model development and feed software products. Translate stakeholder requirements, manage prototype-to-production transitions, and recommend new data technologies. Provide ad hoc engineering, POC development, and data analysis support.