Top Data & Analytics Jobs

Own marketing measurement strategy across incrementality testing, marketing mix modeling, and multi-touch attribution. Design and analyze geo-holdout, platform lift, and synthetic control experiments; maintain measurement data integrity and dashboards; connect media effectiveness to customer lifetime value, brand health, and audience strategy; identify optimization opportunities; and communicate complex findings while training teams to use calibrated measurement insights.

Compiles and processes customer database data into Excel spreadsheets, audits posted data, updates summary reports, verifies Daily Operation Reports, and distributes accurate reports to management. Supports data cleanup and report production while maintaining attention to detail, organization, and timely prioritization in a fast-paced environment.

Analyze complex business, account growth, product usage, and market data to identify actionable insights. Build financial models, executive sales dashboards, interactive reports, and data visualizations for senior leadership. Collaborate with product management, sales, finance, customer success, and leadership teams. Support customer segmentation, product analysis, data governance, workflow improvements, and data extraction through complex queries.

Build and maintain trusted Finance data products, including data models, transformations, pipelines, semantic models, dashboards, and analytical tools. Translate FP&A requirements into scalable solutions, validate and reconcile outputs, resolve data quality issues, and document lineage and business rules. Use SQL and Python for automation and advanced analytics supporting forecasting, revenue, customer, portfolio, and operational analysis. Partner with shared data teams and stakeholders while enabling self-service reporting and executive decision support.

Own the operations analytics stack, including data warehouses, ETL pipelines, governance, forecasting models, executive dashboards, supply chain analytics, inventory optimization, and costed BOM reporting. Partner with Sales, Finance, Supply Chain, and Operations leadership to support S&OP, demand planning, production decisions, supplier performance, capacity utilization, and cost scenarios.

Leads data engineering strategy, architecture, delivery, support, and lifecycle management for secure, scalable cloud and hosted data solutions. Collaborates with technical and business stakeholders to deliver complex datasets, establish enterprise data standards, manage data engineering teams, and oversee maintenance, change management, capacity planning, business continuity, disaster recovery, and regulatory security requirements. The role also evaluates third-party tools and supports Azure DevOps, SDLC, CI/CD, and technical innovation.

Leads data engineering for Payment Operations monitoring transformation. Designs and maintains Snowflake pipelines, tables, stored procedures, monitoring scenarios, KPI infrastructure, and data quality controls. Serves as the Snowflake subject matter expert, documents architecture and operational processes, guides technical partners, and translates business needs into scalable data solutions. The role requires production data engineering experience, advanced SQL, Snowflake expertise, job scheduling, pipeline operations, and stakeholder communication.

Supports Army medical logistics readiness programs by collecting, validating, analyzing, and reporting operational, inventory, supply chain, and readiness data. Develops dashboards, scorecards, statistical reports, executive briefings, and KPIs using tools such as Power BI and Excel. Troubleshoots information-system requirements, supports data integration and testing, improves reporting processes, creates SOPs and training materials, and provides actionable insights for logistics planning, resource allocation, and mission readiness.

Business Analyst responsible for supporting loyalty and rewards programs within the financial services or banking industry. The role requires business analysis, modeling, UML, business process re-engineering, and excellent documentation skills. This is a six-month, in-person engagement in San Francisco, with preference for local candidates and 8–10 years of experience.

Develops reporting, analytical tools, and data solutions that support strategic decisions, revenue growth, and operational efficiency. Partners with Customer, Marketing, and Digital teams to analyze customer behavior, identify trends, validate data, and translate complex findings into actionable recommendations for executives and business leaders. Leads cross-functional analytics initiatives, improves processes and methodologies, supports user adoption, and mentors junior analysts.