Top Data & Analytics Jobs

Manage global sourcing analytics for travel, gaming, and onboard media categories. Design and maintain Power BI dashboards, analyze complex datasets, build models, identify sourcing opportunities, and support negotiation strategies. Lead data governance, automation, AI adoption, and analytics projects while partnering with IT, Finance, and sourcing teams. Ensure data integrity and improve reporting efficiency across enterprise-scale datasets.

Manage Filevine’s corporate analytics function, including executive dashboards, KPI reporting, data pipelines, and complex analyses. Lead and mentor data analysts, ensure data integrity, track SaaS metrics such as ARR, GRR, NRR, churn, and retention, and translate insights into strategic recommendations. Partner with executive leadership and Finance, Operations, Product, and Customer Success teams to support business decisions.

Manages global sourcing analytics for travel, gaming, and onboard media categories. Designs and maintains Power BI dashboards, analyzes complex datasets, develops models, identifies sourcing opportunities, and supports negotiation strategies. Leads data governance, automation, AI adoption, and analytics improvement initiatives while partnering with IT, Finance, and other stakeholders. Serves as the team’s Power BI subject matter expert and oversees data integrity, reporting accuracy, and enterprise-scale analytical solutions.

Research, annotate and structure financial data from public filings using proprietary tools; standardize and maintain databases, ensure data integrity, collaborate on reporting requirements, and support special projects. Role requires attention to detail, ability to handle high-volume quarterly periods (overtime eligible), and strong Excel skills.

Leads and develops a data engineering team implementing data integrations for partner campuses. Owns implementation approaches, scalable delivery processes, data mapping, validation, reconciliation, quality controls, project health, and capacity planning. Partners with Product, Launch, and Partner Success teams to resolve technical and partner challenges, improve integrations, and support adoption. Provides technical mentorship, design and code reviews, stakeholder communication, and continuous process improvement.

Lead company-wide data and analytics strategy across insurance and real estate investment operations. Build governance, collection frameworks, reporting platforms, dashboards, models, and KPI systems; translate complex data into executive insights; automate analytics workflows; support underwriting, claims, forecasting, capital allocation, and portfolio performance; and build and mentor a high-performing analytics team while remaining hands-on.

Build and scale data pipelines supporting Vehicle Configuration Optimization. Ingest and transform Snowflake data into Databricks using Bronze, Silver, and Gold medallion layers. Develop Python and SQL ETL/ELT workflows, monitor pipeline health, optimize performance, and implement data quality and governance controls. Partner with data scientists, analysts, and stakeholders to produce curated datasets for analytics, simulation, and machine learning.

Data Engineer Interns will support analytics platform enhancements, data modeling, data exploration, pipeline maintenance, troubleshooting, optimization, documentation, and stakeholder collaboration. The role focuses on building data products, supporting AI-enabled analytics, and translating business needs into data requirements. Candidates should be enrolled in a quantitative degree program and have foundational knowledge of business intelligence, databases, data modeling, SQL, and data visualization.

Own and improve Vanta’s engineering, product, and design data systems by onboarding signal sources, standardizing data at ingestion, mitigating failure modes, and ensuring information is trustworthy and queryable. Build pipelines, internal tools, prototypes, and AI-enabled solutions; replace manual processes with engineering controls; collaborate with data producers and consumers; and help teammates develop their technical building skills.

Build dbt and SQL data models, strengthen replication and orchestration pipelines, investigate data issues, add quality checks, and create datasets and dashboards for internal reporting and client-facing analytics. The role involves hands-on data engineering, pipeline reliability, reporting, code reviews, and growing ownership within a healthcare and life sciences data environment.