Top Data Analyst Jobs

Manages investment manager data across internal databases, ensuring accuracy, integrity, and timely updates. Reviews financial and legal documents, analyzes investment data using Excel, resolves data issues with internal and external stakeholders, and supports investment operations. The role also oversees outsourced data entry, develops training and documentation, improves processes, partners with IT on technical issues, and contributes to cross-functional projects.

Analyzes and validates data, documents requirements and data flows, deconstructs Alteryx workflows and Tableau reports, and identifies process improvements. The role uses SQL to profile data, supports data modeling and quality initiatives, collaborates with business stakeholders and Data Engineering, and develops validation frameworks and ad hoc analyses.

Supports federal data integration through source-to-target mapping, data quality analysis, interoperability testing, metadata documentation, compliance validation, requirements analysis, dashboard reporting specifications, and operational documentation. The role bridges data engineering and regulatory compliance for NOAA Fisheries and endangered species data integration. It also documents remediation requirements, data refresh procedures, testing criteria, and production feedback. This is a remote position requiring U.S. citizenship and eligibility for Public Trust clearance.

Supports federal data integration for NOAA Fisheries by documenting requirements, analyzing source data structures, performing data mapping, writing user stories and acceptance criteria, facilitating stakeholder workshops, tracking approvals, developing training materials, maintaining traceability matrices, and contributing to progress reports. The role focuses on integrating marine and anadromous species data into a unified Endangered Species Act platform.

Supports Power BI reporting, Microsoft Fabric data organization, data validation, KPI tracking, recurring reports, and ad hoc analysis. Assists with data quality improvements, documentation, automation using Power Automate, and early AI initiatives. Collaborates with business and technical teams across Finance, Operations, Supply Chain, and Project Management while helping test and implement analytics solutions.

The Senior Data Analyst extracts, processes, analyzes, visualizes, and reports data to produce actionable insights. Responsibilities include translating business needs into technical requirements, identifying data sources, supporting ETL/ELT pipelines, investigating data quality issues, developing reports and dashboards, documenting data models and processes, contributing to data management platforms, and communicating findings to cross-functional partners and leaders.

Collect, validate, and manage quality data from ERP, QSYS, and Excel. Develop and maintain Qlik Sense/QlikView dashboards for COPQ, complaints, warranty, audits, and scorecards. Produce regular and ad-hoc reports, support CAPA monitoring, collaborate with IT and cross-functional teams, and drive data-driven quality improvements across multi-site manufacturing.

Build and maintain BI reports, dashboards, visualizations, audience segments, and analytics solutions for convenience retail, petroleum, and mobile payment customers. Translate customer needs into requirements, prepare and validate data using SQL, support CRM campaigns, analyze program performance, troubleshoot data issues, and optimize BI solutions on Azure. Collaborate with marketing, CRM, technical teams, project managers, and customers while documenting and testing delivered solutions.

Defines and monitors data-quality rules, dimensions, freshness SLAs, publication readiness, and governance metrics. Coordinates with data owners, stewards, engineers, and governance stakeholders to establish measurable standards and remediation plans. Supports DataGov reporting, trend analysis, corrective-action tracking, data profiling, quality assessments, dashboards, and executive reporting. Documents findings, risks, decisions, and delivery evidence while supporting data privacy, compliance, and continuous improvement in a federal data modernization environment.

Analyze, query, engineer, and manage data supporting Air Force Special Operations Command. Identify data sources, improve collection and reporting, gather requirements, resolve technical issues, design data manipulation algorithms, build self-service data tools, and improve data quality, metadata, lineage, and usability. The role collaborates with data teams to produce insights supporting mission readiness and decision-making.

Analyze and validate data within an on-premise environment. Responsibilities include source-to-target validation, regression testing, data integrity checks, SQL-based analysis, bug reporting, Linux and Kubernetes troubleshooting, data catalog maintenance, and supplier n-tier mapping. The intern will help ensure data accuracy and reliability while collaborating with engineers and stakeholders.

Supports business projects and process improvements by analyzing workflows, developing KPI reports, documenting procedures, piloting new processes, resolving enhancement requests, and bridging technical and non-technical teams. Requires SQL Server and report-writing experience, with preferred expertise in Microsoft Office, VBA, and Access. This is a fully remote desk-based role.

Lead data strategy and execution for emerging sectors, transforming large consumer datasets into accurate, scalable client insights. Responsibilities include resolving data-quality issues, designing workflows, maintaining sector taxonomies, partnering with product, revenue, engineering, and insights teams, and coaching analysts. The role requires hands-on analysis, production-grade data workflow development, stakeholder communication, and ownership of quality standards and methodologies in a rapidly evolving environment.

Lead data strategy and analytics for Compliance, focusing on Financial Crimes/AML. Drive ETL, source validation, and analyses to quantify compliance risk, support regulatory engagements, and influence product and compliance roadmaps. Communicate insights through visualization and cross-functional collaboration while leading multiple high-impact workstreams.

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.

Analyze healthcare billing, payment, and medical review datasets; develop monitoring summaries and statistical analyses; support federal healthcare policy research; and collaborate with analysts and policy experts on project-based analytical solutions.

Analyze healthcare billing, payment, medical review, and policy datasets supporting federal healthcare programs. Responsibilities include integrating claims and operational data, producing monitoring summaries, evaluating medical review activities, querying data, researching healthcare payment policies, and collaborating with analysts and policy experts.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Gathers, cleans, analyzes, and visualizes complex data to produce reports, dashboards, metrics, trends, and actionable business insights. Collaborates with stakeholders to define data requirements, validate data accuracy, address data challenges, maintain SQL scripts and recurring workflows, and improve reporting processes. Supports data-related projects and develops technical expertise while complying with applicable regulations and training requirements.

Analyze product, program, member, client, and operational data using advanced SQL in Databricks. Define KPIs and measurement frameworks, conduct segmentation and root-cause analysis, validate datasets, develop reporting, and translate findings into actionable recommendations. Partner with Product, Engineering, Operations, Client Success, and business leaders to improve performance and support strategic decisions.

Develop and implement enterprise data governance frameworks, policies, standards, and processes. Own and govern master data management, improve data accuracy and system integration, configure MDM workflows, resolve data quality issues, and identify automation opportunities. Translate business needs into technical requirements, facilitate cross-functional data committees, monitor SLA compliance, and promote data governance best practices across the organization.

Analyze cloud-platform data to support business decisions, define and maintain trusted metrics, and create reusable queries, dashboards, and documentation. Serve as the data-platform subject matter expert, support self-service analytics, validate data quality, identify anomalies, and partner with data engineering on source-level issues. Translate consumer needs into platform feedback and use AI tools to improve analysis, SQL drafting, documentation, and delivery speed.

Build and enhance Palantir Foundry applications using Workshop, Ontology Manager, and Gaia. Analyze, clean, visualize, and summarize mission data; develop geospatial maps and AI-powered insights; translate stakeholder requirements into efficient workflows and user-friendly applications; maintain databases; and collaborate with mission users and engineers to support operational decision-making.

Serves as the bridge between procurement stakeholders and technical data teams, governing procurement data across ERP, master data, data lake, BI, and reporting platforms. Responsibilities include defining data standards, maintaining metadata and mappings, validating transformations, monitoring data quality, resolving data issues, supporting testing, and enabling analytics. The role also translates business requirements into technical specifications and contributes to procurement transformation and continuous improvement.

Performs configuration and data management for DOD and commercial systems. Supports configuration control, engineering change proposals, technical documentation, audits, configuration control boards, contract technical packages, and procedural compliance. Maintains data applications, configuration management plans, technical specifications, and organizational standards while coordinating hardware and software configuration changes.