Top Hybrid Data & Analytics Jobs

The Manager of Ceded Reinsurance will lead reinsurance placements, manage capital strategies, and collaborate cross-functionally to optimize risk transfer.

Leads the Audience Analytics team, develops staff, prioritizes analytics resources, and delivers insights supporting audience growth, fundraising, retention, engagement, revenue planning, and organizational decisions. Oversees data integration, analysis, dashboards, forecasting, governance, and reporting. Partners with cross-functional leaders to define measurement strategies, translate complex findings into recommendations, improve analytics infrastructure, and manage external vendors. Requires strong SQL, business intelligence, stakeholder communication, people leadership, and analytical quality assurance skills.

Analyze integrated marketing performance across paid media, organic social, CRM, websites, and other customer touchpoints. Combine data sources, identify trends and opportunities, and translate findings into actionable recommendations. Present insights directly to clients and collaborate with strategy, media, CRM, social, creative, and account teams. Strengthen measurement, benchmarks, tracking, reporting, and data visualization while supporting ongoing client analytics and emerging business questions.

Own PermitFlow’s analytics infrastructure, including the data warehouse, dbt models, pipelines, metrics, data quality, testing, and governance. Translate complex business questions into insights, predictive models, and strategic recommendations. Build AI-powered analytics using LLMs, establish technical direction, define KPIs, and partner with leaders across Engineering, Product, Operations, and Customer Success. This staff-level individual contributor will shape the company’s long-term data strategy and AI-native analytics function.

Analyze and model marketing, product, and loan application data to optimize the borrower funnel and drive growth. Build BigQuery datasets, dbt models, and Tableau dashboards; evaluate customer behavior, acquisition costs, approval rates, and origination performance. Partner with Product, Marketing, and Engineering on A/B tests, statistical analysis, and actionable insights for leaders. Apply lending and fintech knowledge to improve conversion, customer value, and portfolio outcomes.

Supports enterprise data governance and management initiatives through data analysis, lineage and cataloging, data quality improvements, policy and procedure development, SQL analysis, requirements elicitation, and stakeholder facilitation. The role collaborates with business and technical teams to implement sustainable governance processes and improve data-related workflows. This is a long-term hybrid contract requiring two onsite days weekly in Richmond, Virginia.

Build and manage enterprise datasets, reports, dashboards, analytical tools, and automated data pipelines. Combine data from multiple systems, write SQL, conduct ad hoc analyses, and partner with technology and data engineering teams to operationalize solutions. Collaborate with stakeholders across product data, merchandising, marketing, and finance, communicate findings to technical and executive audiences, and help establish analytics tools, processes, and methodologies.

Supports data engineering through code debugging, troubleshooting, solution development, peer code reviews, and system performance improvements. The intern collaborates with technical teams, reviews documentation, learns emerging technologies, and communicates solutions to team members and business leaders. The role requires current enrollment in a relevant bachelor's or higher degree program, a minimum 3.0 GPA, and programming or version-control experience. The internship is hybrid and lasts 11 weeks.

Supports customer experience and quality initiatives by designing surveys, managing Voice of the Customer processes, analyzing feedback, tracking satisfaction metrics, conducting root-cause analysis, and creating dashboards and executive scorecards. The intern presents actionable recommendations, supports continuous improvement and corrective actions, and documents processes while collaborating with quality, support, engineering, lifecycle services, and business teams.

Own product analytics for Heartflow’s platform by measuring adoption, retention, utilization, and feature impact. Design experiments and quasi-experimental analyses, establish product metrics and event taxonomies, build dashboards, and partner with Engineering on instrumentation. Translate quantitative and qualitative customer insights into product and commercial recommendations. Champion AI-enabled analytics, ensure data quality and compliance in a regulated medical-device environment, present findings to leadership, and mentor analysts.