Top Data Analyst Jobs

Lead Master Data transformation for Global Service & Repair by translating business priorities into MDM and analytics demand, driving data governance, quality, process improvements, stakeholder alignment, and delivery across SAP, Windchill, and enterprise data platforms.

Perform advanced workforce and talent analyses, build self-service BI products and dashboards, generate and present insights to Talent and Executive leadership, collaborate with Finance and Human Capital for workforce planning, and partner with teams to identify opportunities for deeper analytics and process automation.

Senior individual-contributor analyst leading end-to-end, high-stakes analyses, designing dashboards and reporting, mentoring analysts, applying statistical methods and causal inference, partnering with analytics engineering to shape warehouse models, and translating findings for technical and non-technical stakeholders.

Lead supply chain analytics for distribution center operations: ensure data pipeline integrity, govern and automate warehouse data, build reliable reporting, perform diagnostic and prescriptive analysis, partner with engineering and business stakeholders, create KPIs and storytelling, and mentor junior analysts to drive operational improvements.

Perform data analyses on laboratory personnel systems, STEM outreach, technology transfer, infrastructure, and FFRDCs to inform policy. Acquire and process data using Databricks, Excel, Power BI, Tableau, or Qlik; perform QA, cleaning, labeling, and grouping; create visualizations; respond to requests and recommend improvements to data collection and systems to reduce field calls.

Manage cleansing, validation and transformation of complex pension liability data to support Pension Risk Transfer transactions. Consult stakeholders, improve data quality and governance, support testing and document operational processes, and deliver timely data solutions while identifying process improvements.

Perform advanced data analyses, standardize and verify client data, build custom dashboards/reports, support predictive model development, and engage directly with clients to deliver analytic solutions and communicate findings.

Build the analytics layer for Confido and customers: design dashboards, define KPIs, write complex SQL for large financial and operational datasets, surface insights, drive analytic projects, and collaborate with product and engineering to improve data models.

The Data Governance Analyst curates metadata, implements governance workflows, supports data quality checks, and drives governance tool adoption to enhance data strategy.

Support Surest Ontology and Search by analyzing ontology structures, validating data integrity, implementing search data enhancements, monitoring query and user behavior, and delivering actionable insights to product, technology, operations, and benefit design teams. Establish quality checks, document methodologies, and support continuous improvement of search relevance and ontology accuracy.

Support CBP asset management by documenting processes, analyzing operational data, identifying gaps, and translating stakeholder needs into requirements. Develop reports, dashboards, briefings, and recommendations; support automation, data quality, governance, and project coordination.

Collect, clean, and analyze structured and unstructured data to produce insights and KPIs for Navy supply chain decisions. Prepare data for models, create visualizations and presentations, support clients and stakeholders, and ensure data quality. Work onsite with required Secret clearance.

Analyze and integrate grants, finance, and program datasets to build dashboards and reports, produce actionable insights for CRRD leadership, collaborate with cross-functional teams, and improve data collection and reporting processes.

Perform operational and management audits, evaluate internal controls and compliance, analyze large datasets to assess policies and performance, identify risks and inefficiencies, audit vendor/contract compliance, verify statistical data, and draft and present audit findings with recommendations.

Manage product data integrity and system configuration across the quote-to-cash ecosystem. Maintain product definitions (pricing, features, versions), configure rules and workflows in product/pricing applications, run data entry and reporting, and collaborate with IT, sales, marketing, and fulfillment to translate business requirements into technical solutions.

Maintain and reconcile pipeline data across CRM/PRM systems, perform data validation and cleanup, document data flows and business rules, build dashboards and reports, support UAT and end-user training, and recommend data process improvements to improve pipeline visibility and reporting.

Lead strategic scenario modeling and automation for supply chain planning, linking demand, manufacturing, inventory, capital, and financial outcomes. Provide executive decision support, build scalable reporting and self-service dashboards, partner with IT/data engineering to automate workflows, mentor analysts, and influence cross-functional leaders with data-driven recommendations.

Participate in projects to improve and standardize technology operations. Collaborate with cross-functional teams to redesign processes, document improvements, create dashboards and reports, analyze data trends, and identify automation opportunities to increase operational effectiveness and adoption of shared tools and practices.

The Data Analyst will engage with Supply Chain teams to analyze data needs and deliver analytics solutions, supporting product lifecycle using agile methodologies. Key responsibilities include defining business requirements, ensuring solution value, and maintaining strong stakeholder communication.

The Data Analyst will automate solutions for data analysis, collaborate with technical teams, design ETL packages, and generate reports.

The role involves developing BI solutions, managing data processing pipelines, providing application support, and ensuring data governance and compliance.

Collect, analyze, and model operational data to identify problems and recommend solutions. Follow established evaluation processes, lead or direct others as needed, and use judgment to plan and accomplish goals. Support verification and clearance processes as required by government contracts.

Own and maintain data products end-to-end for sector teams, analyze large datasets, refine methodologies, automate workflows using AI and tooling, collaborate with Research, Engineering, and Product, and deliver accurate, client-facing insights and improvements.

Owner of Support Operations analytics: build and maintain dashboards and recurring reports, track cSAT/TTR/QA/escalations, instrument Zendesk, connect support to product/customer data, design feedback loops, measure AI-driven support impact, quantify cost of bugs/features, and support ad-hoc analysis for leadership.

Own support analytics for User Operations: build recurring reports and self-serve dashboards, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support data to product/customer sources, quantify operational cost of bugs, measure AI-driven support impact, and deliver ad hoc analyses to inform Product, Engineering, and leadership.