Top Senior Data & Analytics Jobs

Analyze claims data using Python, SQL, dbt, PostgreSQL, Looker, and Excel; build ETLs, data models, reports, and visualizations; lead customer calls; provide technical recommendations; clarify requirements; and communicate precise insights while collaborating with engineering and operations teams.

Own the integrity, governance, reconciliation, and publication of Lyft’s safety data. Lead reporting definitions, QA, audits, documentation, dashboards, and roadmap prioritization while partnering with Business, Legal, Policy, Communications, Product, Engineering, and Data Science. Diagnose safety trends, define initiative metrics, deliver actionable recommendations to leadership, establish analytical standards, and mentor junior analysts.

Manages global sourcing analytics across travel, gaming, and onboard media categories. Designs Power BI dashboards, analyzes complex datasets, builds business models, and delivers insights supporting sourcing strategies, negotiations, and operational improvements. Leads data governance, automation, AI adoption, and reporting optimization while serving as the team’s Power BI subject matter expert. Partners with IT, Finance, and Centers of Excellence to improve data structures, analytics tools, and transactional data quality.

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.

Lead design and delivery of production data platforms, pipelines, and analytics. Architect Snowflake/Databricks solutions, build ETL/streaming ingestion, implement dbt transformations, data quality, observability, and governance, support BI and AI/ML feature/data pipelines, and mentor engineers while driving DataOps and platform best practices.

Senior Data Architect contractor to accelerate and modernize the data platform: assess landscape, design end-to-end data solutions, define integration and metadata patterns, enable data mesh and cloud migration (AWS), and produce reusable architecture artifacts for handoff to engineering teams.

Analyzes complex claims data to create SQL- and Power BI-based dashboards, reports, scorecards, forecasts, and actionable insights. Identifies claims leakage, payment anomalies, fraud indicators, reserve activity, and operational inefficiencies. Partners with Claims Operations, IT, Data Engineering, and leadership to improve reporting reliability, business performance, and decision-making. The role also supports statistical analysis, reporting governance, and AI-assisted analytics initiatives.

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.

The Senior Data Quality Specialist will develop data quality rules, implement cloud-based solutions, and analyze data accuracy, leading projects and collaborating with teams.

Oversee escrow reporting functions, troubleshoot and enhance automated reports, identify control gaps, and develop analytics solutions. Extract and analyze data using SQL, manage reporting projects from requirements through completion, document processes, and train new analysts. Serve as the subject matter expert for escrow data fields, bulk production reporting, and automation opportunities while partnering with business and management teams.

Lead a team of 10+ data engineers while remaining hands-on in architecture, design, and code. Own a unified ingestion framework, Spark streaming pipelines, Apache Iceberg lakehouse, dbt modeling standards, Trino query performance, reliability SLOs, observability, cost optimization, and 24x7 on-call operations. Partner cross-functionally on roadmap decisions and build scalable, standardized data platform infrastructure with strong incident-management practices.