Top Data Analyst Jobs

Leads business and data analysis for payment platforms including ACH, Wire, SWIFT, RTP/FedNow, and cross-border payments. Defines requirements, data mappings, architectures, testing strategies, and control frameworks while partnering with business, engineering, architecture, risk, and compliance teams. Uses Python, SQL, BI tools, and AI/ML platforms to generate insights, automate reporting, improve reconciliation, predict failures, and strengthen fraud and regulatory monitoring. Supports ISO 20022 modernization and intelligent, scalable payments operations.

Supports data pipeline, ETL, integration, validation, reconciliation, monitoring, and troubleshooting activities for insurance claims and enterprise data platforms. Collaborates with engineers, product teams, and business stakeholders to understand requirements, improve data quality, and support scalable cloud-based solutions. Participates in Agile ceremonies and develops technical and insurance-domain expertise through mentoring and project work.

Build, QA, and deliver custom audience segments using SQL and data tools; validate data quality and policy compliance; automate workflows; serve as primary stakeholder contact via Salesforce; troubleshoot and document issues; contribute to cross-regional enablement and process improvements.

Lead the design and implementation of a federal data-governance program. Establish operating models, policies, standards, councils, stewardship roles, metadata and catalog requirements, issue-resolution processes, KPIs, training, documentation, and change-management initiatives. Facilitate cross-functional stakeholder alignment, evaluate governance platforms, build reusable assets, and improve data quality, adoption, compliance, and enterprise data maturity.

Part-time analyst who maintains CRM and CAMS data, supports enrollment and budget forecasting, creates real-time and historical reports, monitors data quality, identifies process improvements, trains/supervises student workers, and supports recruiting/marketing activities and website content updates in coordination with Marketing.

Partner with business teams to convert manual reporting and spreadsheet workflows into trusted, self-serve data products and automated processes. Define metrics, build dashboards, scope and write engineering-ready specs, triage tool requests, and deliver lightweight automation or handoffs to engineering to improve reporting trust, reduce manual work, and increase efficiency.

Partner with business teams to convert manual reporting and spreadsheet-driven workflows into trusted self-serve data products and automated tooling. Define metrics, build or scope dashboards and automation, triage and prioritize tool requests, write engineering-ready specs, and deliver lightweight fixes or handoffs to engineering. Measure success by reduced manual work, trusted dashboards, and time saved.

Design and implement data pipelines, APIs, and automated workflows to turn structured and unstructured data into actionable insights. Create dashboards, reports, KPIs, and visualizations; validate and cleanse data; troubleshoot integrations and applications; support Agile delivery; and evaluate AI/LLM-assisted workflows to improve federal customer decision intelligence.

Analyze adoption, engagement, and telemetry data to measure product performance and value. Build and maintain executive scorecards and dashboards, partner with Power BI developers and data engineers to ensure data accuracy, identify trends and risks, support leadership reviews, and document measurement methodologies while collaborating with UX researchers and product teams.

The Senior Analyst will support Data Governance policies, document procedures, collaborate with stakeholders, and assist in training and audits.

The Senior Analyst will support data risk assessments, translate data governance standards into practical tools, and enhance integration of data controls in critical business processes.

Drive technology risk reporting and analytics for ERM: analyze risk datasets, build Power BI dashboards, integrate IT/IS/third-party data, assess controls using industry frameworks (COBIT, NIST, ITIL, DCAM, DMBOK), support RCSA, and advise business units on risk mitigation and control improvement.

Support implementation and post-implementation ERP reporting and analytics: gather/report requirements, configure and test reports, write specs and user procedures, create/retrofit reports, execute testing, document issues and enhancements, train users, and provide ongoing maintenance and optimization.

The ERP Data Analytics and Reporting Analyst handles requirements gathering, report configuration, and post-implementation support for the ERP system.

The Analyst will manage data and perform financial analysis on private equity and alternative assets, while providing feedback for the analytics platform.

Design and maintain Power BI semantic models and Microsoft Fabric analytics solutions. Build scalable star schemas, DAX measures, Spark/PySpark pipelines, AI-enabled data experiences, and operational dashboards while partnering with engineers and BI teams to improve data quality, performance, and governance.

Own and QA high-impact retail data products: design and run QA, investigate and resolve complex data quality issues, collaborate with Insights and Engineering, improve automation and product reliability, and communicate methodology and limitations to clients.

Support VHA specialty care programs with enterprise data management, BI, reporting, and automation. Build Power BI dashboards, automate data acquisition with Microsoft Power Platform, integrate solutions with VA systems, analyze healthcare/financial data, and produce executive reporting, documentation, and training to support decision-making and performance improvement.

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.

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

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.

Lead data governance activities including profiling, metadata population, data quality remediation, and standards enforcement. Work cross-functionally to implement Informatica-based cataloging and protection, automate data protection, deliver training, and recommend improvements to data quality, standardization, and transformation.

Own end-to-end analysis of payments, chargebacks, and user lifecycle to identify drivers of net loss. Deep-dive into fraud cases, design and evaluate A/B experiments and risk-rule changes, build monitoring dashboards, partner with Risk, Payments, and Product to convert insights into mitigations, and run ad-hoc analyses of emerging loss trends.