Top Data & Analytics Jobs

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Lead a team to improve sales data quality, governance, and operational readiness across bookings, discounting, partner, services, incentives, forecasting, quota and territory datasets. Design validation frameworks, automate data quality checks, enforce lock processes, deliver dashboards, drive automation and AI-assisted anomaly detection, and partner with stakeholders to ensure audit-compliant, business-ready sales data for strategic GTM decision-making.

Design, build, and operate a production data platform using Apache Iceberg and containerized data engines. Own CI/CD, automation, observability, incident response, security controls, and SLA monitoring for ETL/ELT and streaming pipelines; maintain catalogs and table health, run on-call rotations, and document practices.

Own client-facing analytics and attribution: establish baselines, implement tracking and lead-to-sale matching, run holdout and lift experiments, quantify cost avoidance, build cross-client benchmarks, and translate findings into clear ROI narratives that inform pricing, product, and renewal conversations.

Design and maintain dashboards and ETL pipelines, write advanced SQL, perform statistical and ad hoc analyses, ensure data quality, and partner with product, engineering, sales, and executives to deliver insights. Assist with Microsoft Fabric migrations and develop derived tables using PySpark.

Design, build, and maintain human capital dashboards and reports using Tableau/Power BI and Microsoft tools. Analyze complex workforce data, identify trends, recommend process improvements, document HR workflows (BPMN), validate data, and produce executive-ready reports and presentations supporting federal HR operations.

Build and operate a scalable data platform using Apache Iceberg and containerized data engines. Own ETL/ELT pipelines, Docker image creation and CI/CD, automations, observability, SLA monitoring, incident response, security/compliance support, and documentation/training. Participate in on-call rotation and relocate per assignment schedule.

Support catastrophe risk management by preparing and validating exposure data, running vendor catastrophe models, performing loss and accumulation analyses, producing reinsurance pricing indications, and delivering reports and visualizations to underwriters and senior team members.

The Data Analyst collaborates with teams to analyze criminal justice data, provides insights, and supports product launches by presenting analyses to stakeholders.

Design, build, and maintain cloud-based data infrastructure and ETL/ELT pipelines (Azure, Databricks, Snowflake, Fabric). Lead cloud migrations from on-prem SQL Server, implement Medallion/Lakehouse architectures, ensure data quality and performance tuning, collaborate with analysts and data scientists, and mentor junior staff.