Top Data & Analytics Jobs

Lead analytics initiatives to shape product selection growth and vendor performance. Develop frameworks, collaborate cross-functionally, and mentor other analysts.

Develop and validate ML pipelines for long-term time series from wearable and clinical sensors. Use transfer learning from ECG models, implement DSP workflows, evaluate foundational time-series models, benchmark vs clinician-verified ground truth, and maintain reproducible code and biomarker datasets.

As a Staff Analytics Engineer, you will bridge data engineering, data science, and business analytics to generate actionable insights, build data models, and empower stakeholders across the organization.

Analyze, design, and support consulting for retail energy clients. Document business requirements, create processes, and enhance system effectiveness.

Ensure customer data accuracy and reliability by validating backend systems, querying and analyzing healthcare datasets, troubleshooting ingestion and orchestration failures, monitoring workflows, supporting customer technical discussions, documenting investigations, and collaborating across teams to deliver scalable data quality solutions.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

Lead design, build, and maintain scalable data pipelines and warehouses. Drive technical roadmap, mentor engineers, implement data quality/testing/monitoring, optimize performance and cost, and collaborate cross-functionally to ensure reliable data for BI, ML, and applications.

The Manager of Revenue Analytics leads cross-functional projects, conducts statistical analysis, and partners with revenue stakeholders to drive growth initiatives and insights.

Build and own end-to-end sales data pipelines and curated marts in Snowflake/dbt; implement monitoring, tests, and governance; run reverse-ETL to operational systems; partner with Sales, Ops, Finance, and People to deliver production-ready analytics products.

Lead analytics for marketing and customer acquisition: build dashboards, design and evaluate A/B tests, monitor conversion funnels, develop multi-touch attribution reporting, migrate reports to new systems, combine structured and unstructured data, and partner across Marketing, Sales, Finance, Operations, Credit, and Technology to turn insights into automated actions.