Top Senior Data & Analytics Jobs

Lead a centrally‑federated team of Data Stewards and Data Quality Analysts to operationalize data governance. Translate policies into stewardship processes, enforce consistent definitions and quality rules, oversee issue escalation and remediation, embed stewardship into projects, monitor KPIs, and partner with governance, engineering, and business stakeholders to maintain metadata, lineage, and data fitness.

Design, deploy, secure, and optimize enterprise database environments supporting mission-critical ArcGIS systems. Responsibilities include database architecture, configuration, backup and recovery, high availability, disaster recovery, performance tuning, access controls, automation, data loading, and integration. The role operates across cloud, on-premises, and hybrid infrastructures and provides technical guidance to project teams and customers.

The Salesforce Data Architect will lead complex data migration initiatives, ensuring data quality and governance while collaborating with stakeholders to implement scalable Salesforce solutions.

Support Business Enablement & Insights by building dashboards, analyzing portfolio and partner performance, diagnosing drivers across growth and insurance (retention, underwriting, claims), partnering with stakeholders and data engineering to improve data quality, and delivering executive-ready insights, forecasts, and recommendations to drive profitable growth and operational efficiency.

Lead design and scale of Coupang's data platform for petabyte-scale ingestion, storage, and processing. Build and manage ETL/ELT pipelines, ensure data quality, observability, SLAs, security/compliance, and optimize cost and performance. Mentor engineers and drive platform automation and resiliency.

The Senior Data Engineer will design and scale cloud-based data platforms, ensuring quality and performance while collaborating with cross-functional teams to deliver actionable data solutions.

Produce and distribute reports and statistical analyses, ensure data integrity, extract and compile data for trend analysis, present findings to management/clients, provide training/coaching, and support performance and quality initiatives.

Conducts Army real-property evaluations, GIS and workflow analyses, data reconciliation, and process-improvement assessments. Develops SOPs, manuals, reports, briefings, training plans, and data-driven recommendations. Analyzes HQIIS and related relational-database information, including object models, data models, and metadata repositories. Coordinates with GIS, real-property, business-intelligence, quality, training, and project-management personnel while supporting audits, inventories, data-quality initiatives, and installation engagements.

Build a greenfield data platform and unified Lakehouse integrating high-volume payment, marketing, and operational data across AWS and GCP. Design ingestion pipelines, create dbt medallion-layer transformations in BigQuery, and own Airflow orchestration, lineage, backfills, retries, alerting, infrastructure as code, and cost controls. The role requires autonomous ownership in a fully remote, asynchronous environment, with data mesh and Starburst Galaxy experience as preferred qualifications.

Lead design and execution of a customer experience measurement framework combining quantitative and qualitative data. Analyze trends, provide actionable insights, monitor initiative impact, mentor a team, and partner with cross-functional leaders to improve customer satisfaction and operational processes.