Top Data & Analytics Jobs

Lead marketing analytics work to generate actionable insights, measurement plans, audience segmentation, and media impact tests. Manage client relationships, mentor analysts, partner with planning/investment teams, and drive process improvements and execution of analytics deliverables.

As a Data Engineer, you will create efficient data models, pipelines, and analytics frameworks, collaborating with various departments to transform raw data into actionable insights.

Lead machine learning and data science strategy at LendingClub, managing teams and driving innovation in predictive modeling and analytics across various domains.

Lead design, development, testing, and delivery of Qlik-based dashboards, reports, and healthcare applications. Build data extracts, optimize Qlik apps, develop NPrinting reports, write specifications and code, use Agile tools, support deployments, and train/assist end users and QA.

Perform customer analytics and lifecycle measurement for subscription and auto insurance products. Build dbt/Snowflake data models, Tableau dashboards, survival and churn analyses, propensity datasets, A/B tests, pricing and LTV analyses, and recommendation logic. Partner with data engineers, data scientists, product, and marketing to operationalize personalization and inform retention, pricing, and product strategies.

The Director of Data Engineering leads the development of data platforms to support analytics in cancer care, overseeing architecture and engineering while mentoring a team.

Lead implementation of active portfolio management for US Wholesale & Specialty. Bridge analytics, underwriting, actuarial, and claims to deliver actionable insights, prioritize analytics projects, monitor performance, enable underwriting adoption, and drive pricing and portfolio improvements to optimize risk selection and reduce loss ratios.

Lead the analytics data layer: design and operate a ClickHouse-backed warehouse, define and validate trusted metrics, build customer-facing React dashboards and internal Grafana/self-serve tooling, and ensure data quality, lineage, and documentation for telemetry-derived insights.

Lead design and delivery of company-wide data models and analytics products. Gather requirements, define outcomes, enforce data standards, and partner with analysts, engineers, and PMs to scale reliable data solutions and practices.

As a Data Engineer, you will build and scale data pipelines, optimize advertising effectiveness, and handle large datasets using AWS, Airflow, and Snowflake.