Top Data Analyst Jobs

Develops and maintains Power BI dashboards, automated reports, and data products for criminal justice data. Queries, cleans, transforms, validates, and analyzes data using SQL, R, Stata, and related tools. Translates complex findings into accessible visualizations and presentations, supports performance and caseload reporting, assesses data quality, and collaborates with analysts, engineers, and stakeholders on reporting needs and strategic analytics.

Supports the agency’s impact measurement framework through quantitative and qualitative analysis, dashboard development, reporting, survey programming, predictive modeling, data governance, and visualization. The analyst translates complex findings into actionable recommendations for executive, internal, and external audiences while collaborating across teams to establish reliable data processes and monitor strategic outcomes.

Conduct product analytics for MoneyGram’s digital money transfer products. Analyze customer behavior, product performance, experiments, feature releases, and cohort metrics to guide product strategy and growth. Build insights and reporting, collaborate with Product, Engineering, Marketing, Finance, and international teams, and improve analytics platforms, automation, and visualization processes. Translate complex findings into actionable recommendations for technical and non-technical stakeholders.

Designs, develops, and maintains Tableau dashboards, scorecards, and reporting solutions for compliance risk monitoring, control testing, regulatory reporting, and executive decision-making. Analyzes complex datasets, builds data models, validates data quality, connects multiple data sources, automates recurring reports, and supports audits and regulatory examinations. Collaborates with risk, audit, technology, and business teams while developing knowledge of banking products, source systems, regulations, and compliance frameworks.

Analyzes business data to identify trends, anomalies, and opportunities; fulfills reporting requests; maintains and builds Tableau dashboards; writes SQL queries; uses Excel and AI tools for analysis; validates data quality; and communicates actionable insights to stakeholders. The role also documents reporting processes, manages competing priorities, and partners with teams to translate business questions into dashboards and analyses.

Analyze and integrate client and acquisition data, develop analytical methodologies, maintain databases, create reports and technical deliverables, conduct research and reviews, troubleshoot data issues, and provide recommendations. The role also supports project objectives, strategic direction, system testing and implementation, and client relationship management.

Analyzes business, data, dashboard, and technology needs for auto retail operations. Develops dashboards, reports, data solutions, prototypes, and light applications; coordinates technology projects; documents requirements, processes, integrations, and data flows; performs testing and validation; monitors KPIs; supports stakeholders and ensures data integrity, security, and implementation readiness.

Leads enterprise data governance and AI-readiness initiatives, including metadata, lineage, catalogs, semantic models, data quality, access, lifecycle management, and standardized business definitions. Establishes governance policies, facilitates councils, resolves cross-functional issues, supports privacy and regulatory compliance, and communicates risks and outcomes to leadership. Partners with technical and business teams on data products and metric definitions, translates technical concepts, identifies governance gaps, and mentors junior analysts.

Performs recurring quality checks on commercial life sciences datasets, investigates anomalies, validates Databricks data ingestion and integrations, maintains data governance documentation, collaborates with vendors and stakeholders, and improves quality processes through SQL, automation, and observability tools.

Leads actuarial financial data systems and marts, developing data solutions, extracts, reports, analyses, automations, validations, and executive reporting support. Manages data mart maintenance, audits, business requirements, technical specifications, user acceptance testing, and system implementations. Provides technical leadership, coordinates vendors and departments, trains junior staff, and advises project teams on data architecture, business rules, configuration, and financial data quality.

The Data Analyst will clean, validate, and analyze administrative data using R or Python and SQL. Responsibilities include descriptive and exploratory analysis, research and policy evaluation, dashboard and visualization development, quality assurance, documentation, reproducible workflows, and communicating findings to technical and non-technical stakeholders. The role also manages project timelines and collaborates across teams to support criminal justice programs and policy decisions.

Analyzes business and operational data to create dashboards, reports, forecasts, and actionable recommendations. Partners with sales, operations, shippers, carriers, and internal stakeholders to address business needs, automate processes, improve performance, and support revenue decisions. Maintains data sources, leads ad hoc analysis, manages initiatives and deadlines, escalates issues, and identifies process improvements.

Design, enhance, and sustain HR reporting, dashboards, and analytics products. Build scalable data pipelines, automate workflows, improve data quality and governance, and operationalize multi-source HR data (including Prism). Provide senior technical support, mentor analysts, and partner cross-functionally to deliver governed, actionable HR data solutions.

Collects, extracts, analyzes, interprets, and validates data to support business decisions. Develops and maintains management indicators, reports, data analytics solutions, quality-control procedures, documentation, and training materials. Participates in SAS ETL development, supports data governance and publication quality, and assists users with data requests and interpretation.

Supports Epicor ERP migration, implementation, and data integrity in an aerospace manufacturing environment. Develops BAQs, dashboards, reports, and KPIs; troubleshoots ERP transactions; analyzes manufacturing and financial performance; resolves data discrepancies; supports upgrades, testing, audits, compliance, and continuous improvement. Partners with IT, Finance, Supply Chain, Quality, Engineering, and Manufacturing teams to deliver scalable reporting and actionable insights.

Establishes and operationalizes data quality practices across enterprise data domains and systems. Defines quality rules, metrics, controls, and standards; profiles and monitors data; investigates root causes; manages remediation; and develops scorecards, dashboards, and alerts. Partners with data owners, stewards, engineers, security, and governance teams to support modernization, migration, privacy, metadata, lineage, compliant data sharing, and continuous improvement across federal court systems.

Supports the Product Innovation Team by modifying and optimizing SQL queries, visualizing data with BI tools, identifying insights, and analyzing enhancements. Participates in coding, testing, documentation, and discussions while providing customer service and managing multiple tasks. The internship requires at least 30 hours per week and emphasizes advanced Excel and visualization skills, plus familiarity with Python and SQL.

Manages enterprise master data creation and change requests across global organizations. Creates and maintains customer, vendor, material, grade, and service master data in SAP, performs data loads and validation, resolves defects, coordinates with cross-functional teams, and ensures data accuracy, governance, SOX, ITAR, audit, and service-level compliance.

Develops and maintains compliance reports, dashboards, KRIs, KPIs, and metric-level analyses to monitor consumer compliance risk. Sources, transforms, validates, and governs data supporting compliance testing, complaints, fair lending, CRA, UDAAP, regulatory change, risk assessments, and issue management. Collaborates with IT, business lines, vendors, audit, and risk teams to improve data integrity, reporting processes, automation, and visualization. Provides technical guidance, identifies trends and anomalies, and recommends compliance and technology enhancements.

Supports data-driven decision-making by collecting, processing, and analyzing business data. Builds AWS QuickSight dashboards and reports, automates reporting, performs exploratory analysis, defines KPIs, monitors data quality, documents processes, and presents insights to cross-functional stakeholders.

The Data Analyst will prepare performance reports, apply AI and ML techniques to data, and collaborate with teams to deliver insights for business success.

Analyzes and improves data quality by identifying inconsistencies, performing statistical tests, developing validation processes, and creating reports and dashboards. Collaborates with data operations, reporting teams, stakeholders, and project teams in an Agile environment. Uses SQL, R, Python, Excel, Power BI, Tableau, and AWS QuickSight to support CMS fraud, waste, and abuse prevention. Documents procedures, presents findings, supports ad hoc analysis, and participates in quality assurance and process improvement.

Develops and maintains dashboards, reports, and visualizations; analyzes multi-source data to identify trends and actionable insights; translates stakeholder needs into analytical solutions; supports recurring and ad hoc reporting; presents findings to technical and non-technical audiences; and collaborates with federal client stakeholders to improve analytics workflows and decision support.

Lead marketing analytics across channel, campaign, cohort, and funnel performance. Build dashboards, reporting, AI-enabled analytical workflows, and data models that support marketing decisions. Conduct ad hoc analyses, evaluate attribution and incrementality, monitor data quality, and translate complex findings into executive recommendations. Partner with marketing and marketing science teams, influence strategic decisions, establish analytical standards, and mentor analysts.

Supports media reporting and measurement initiatives across client accounts by analyzing digital and traditional marketing performance data, developing KPI-aligned reporting, translating findings into optimization recommendations, and contributing to measurement frameworks. Partners with strategy, media, client services, data engineering, and data science teams to ensure data integrity and actionable outputs. Builds Tableau dashboards, supports reporting automation, interprets advanced analytics such as attribution and marketing mix modeling, and manages recurring and ad hoc deliverables.