Top Data Analyst Jobs

Work with data scientists, engineers, and BI developers to deliver end-to-end data solutions using the modern data stack. Build reports, dashboards, KPIs, and ad-hoc analyses; support data modeling, validation, governance, and ML model tuning to inform business decisions.

Lead development and delivery of BI dashboards and reports, architect scalable BI systems, ensure data quality and governance, perform advanced analysis and forecasting, provide strategic recommendations, establish standardized data models, mentor junior analysts, and communicate insights to stakeholders to inform business decisions.

Analyze C&DS project data to produce actionable insights. Build data pipelines, reports, visualizations and predictive/prescriptive models. Collaborate with IT, data governance, and business stakeholders to enable data-driven decision-making, support reporting needs, and ensure data quality and access.

Lead master data governance for product/material domains across Agile PLM and SAP S/4HANA/SAP MDG. Define governance, document requirements and processes, support MDG design and integrations, drive data migration/cleansing, perform impact analysis, and champion data quality across supply chain, manufacturing, and IT stakeholders.

Lead cross-functional analyses and build scalable reporting for go-to-market teams. Develop and automate data pipelines, create interactive dashboards, improve data quality, and translate complex findings into actionable recommendations for stakeholders and executives.

The Data Quality Analyst will validate data accuracy, develop automated testing frameworks, analyze discrepancies, and collaborate on data governance with stakeholders.

Senior Business Analyst specializing in advanced data visualization: create dashboards, choose optimal chart types for varied audiences, visualize high-dimensional data, apply statistics and financial modeling, collaborate with UX, and help drive execution.

Maintain data dictionary and lineage; design logical and physical data models; map attributes to source documents; validate data quality; support data governance and compliance; collaborate with BI and analysts to enable reporting and Tableau dashboards.

Analyze and consolidate disparate data sources, document functional specifications, review logical and conceptual data models, gather business requirements, validate implementations, support production deployments, investigate data quality issues, and coordinate with technology leads to resolve data completeness and accuracy gaps.

Lead reconciliation data analysis for cash, stock and position records. Gather requirements, document functional specs, validate solutions, support production deployments, investigate data quality and work with technology leads to ensure data completeness and lineage.

Lead discovery workshops, author testable user stories, document end-to-end workflows and data lineage, define/enforce data standards and stewardship, own data dictionary, validate data readiness before go-live, identify regulatory data obligations, participate in Data Governance Council, and serve as the business systems analyst for CRM platforms.

Build and maintain scalable monitoring solutions and dashboards to track production, campaign, and operational data. Analyze large-scale datasets to detect anomalies, perform root-cause investigations with Engineering and Production Operations, and deliver actionable insights to improve platform reliability and operational efficiency.

Serve as product-owner/business analyst for actuarial data and tools within the Global Data Office. Translate actuarial requirements into data engineering specs, lead Agile ceremonies, manage product backlog and roadmaps, align stakeholders, and ensure data governance, lineage, testing, and quality for actuarial reporting, reserving, and pricing use cases.

The Data Quality Analyst audits and standardizes data from various internal sources to ensure accuracy. Responsibilities include developing reports, building data pipelines, and collaborating with teams to manage data integrity.

The Senior Analyst will contribute to data enablement, enhance data access, develop strategic data sets, and support analytics solutions while collaborating with stakeholders to improve overall data management and governance.

The Senior Data Analyst - Compliance will support data governance by mapping data lineage, creating policies, and responding to regulatory inquiries.

Support CHAMPPS research by extracting and validating clinical data from Epic, building and maintaining REDCap/Qualtrics/Atlas.ti databases, performing data quality checks, generating reports and visualizations, assisting with IRB/grant documentation and project coordination, and maintaining confidentiality while collaborating with multi-site stakeholders.

Own and execute sales performance reporting and pipeline/forecast analytics for SaaS KPIs. Design and maintain BI dashboards (DOMO preferred), automate data feeds and alerts, troubleshoot data discrepancies, perform ad-hoc analyses, and present actionable insights to sales leadership and executives to optimize pipeline, forecasting, and rep performance.

Lead a team delivering reporting, dashboards, and analytics for policy administration. Ensure data quality and governance, validate reporting, analyze trends, support audits/compliance, and provide actionable insights to improve operations, digital adoption, and customer experience while partnering across business and technology stakeholders.

Design, build, and maintain production-grade ETL/ELT pipelines and data models using dbt, Spark, and cloud platforms. Manage ingestion, data quality, observability, semantic layers, and BI outputs. Collaborate with analysts and data scientists to deliver governed, high-quality data products and implement DataOps and CI/CD practices.

Support senior leaders by preparing tasking packages and staffing materials, provide risk mitigation, COAs, and ROI-based decision modeling to support Air Force missions and operational plans.

Retrieve, integrate, analyze, and validate business, medical, operations, financial and customer data. Build repositories, perform data extraction and manipulation, identify trends and root causes, produce reports and visualizations, support ad-hoc requests, and consult with stakeholders to inform business decisions and process improvements.

Lead automation of billing, journal entries, reconciliations, and recurring accounting reports. Design and maintain workflows connecting Accounting with other teams, analyze accounting data, build dashboards, and apply ML for forecasting and anomaly detection. Partner with IT and Accounting leadership, document controls, train staff, and drive automation projects from identification through implementation.

Serve as the enterprise data intake and investigative analyst: use Python and SQL to explore data, surface anomalies and quality issues, translate stakeholder requests, map data flows across systems (CRM/Salesforce), document processes, build lightweight automation, and inform data governance and remediation. On-site in Arlington, VA.

Maintain and audit SQL databases, write automation scripts, generate validation/completeness reports, support ERP (Sage 100) and WMS (HighJump), monitor system performance, produce analytics and documentation, and improve overall data quality and processes.