Top Data & Analytics Jobs

Collects, validates, and analyzes USAF aircraft maintenance data; identifies trends; develops predictive and mathematical models; creates visualizations; and communicates findings to stakeholders. The role uses JMP, MATLAB, Simio, Python, VBA, and Tableau, coordinates data-quality improvements with USAF organizations, conducts technical studies, and provides senior-level guidance to junior personnel supporting the KC-46 program.

Processes monthly Medical Expense and Performance Reporting System data across financial, labor, workload, and electronic health record systems. Performs data quality reviews, variance analysis, reporting, transmission, and troubleshooting for Defense Health Networks and Military Treatment Facilities. Develops Excel-based analytical tools and reports, supports MEPRS coordination, attends related meetings and site visits, and recommends performance improvements. Requires knowledge of DoD financial management, cost accounting, MEPRS procedures, and associated defense healthcare systems.

Maintains the ADEA Data Portal and research data platform, including dashboards, datasets, documentation, functionality, privacy, and security. Collects, cleans, validates, analyzes, and reports dental education data using surveys, administrative sources, scraping, and databases. Develops spreadsheet and interactive visual reports, supports members and vendors, contributes to automation and algorithms, and ensures data integrity and regulatory compliance.

Conduct end-to-end data analysis, translate ambiguous business questions into actionable recommendations, and support decision-making across company functions. Build and maintain dbt models, tests, documentation, curated tables, semantic-layer metric definitions, and BI reporting. Partner with data engineering and stakeholders to ensure data quality, governance, and self-service access for people and AI agents. Maintain dashboards and identify opportunities across multiple business verticals.

Analyzes complex structured and unstructured data to identify trends, correlations, and insights. Builds dashboards, reports, data models, pipelines, and connectors; performs data cleaning, visualization, predictive modeling, and quantitative and qualitative analysis. Provides recommendations for strategic engagements and process improvement, develops analytic products, integrates APIs, and briefs senior leaders. The role requires Python, SQL, Power Platform experience, a bachelor's degree, and eligibility for a Secret clearance.

Analyzes logistics and fulfillment data to support business decisions and continuous improvement. Develops standardized reporting, dashboards, visualizations, KPI tracking, and scenario analysis across Safety, Quality, Delivery, Cost, and Growth metrics. Uses structured and unstructured data to deliver descriptive, diagnostic, predictive, and prescriptive insights. Trains users on reporting tools, identifies business priorities, and communicates actionable recommendations to leaders. The role is hybrid and requires up to 5% travel.

Analyzes commercial, operational, market, and customer data to identify trends, risks, and opportunities. Develops dashboards, reporting templates, visualizations, and actionable insights for sales, marketing, finance, contracting, and leadership teams. Supports forecasting, segmentation, promotional evaluation, data governance, process improvements, UAT, system enhancements, strategic initiatives, and ad hoc modeling. Communicates findings to technical and non-technical stakeholders and documents analytical methodologies.

Analyze business data using SQL and BigQuery, build Looker dashboards and recurring reports, and translate stakeholder questions into actionable insights. The role partners with Marketing, Sales, Product, Operations, and Finance, communicates findings to technical and non-technical audiences, follows data governance standards, and contributes to scalable self-service analytics and reusable documentation.

Supports business operations by researching, validating, categorizing, and maintaining master data. Responsibilities include updating product information, verifying specifications, performing data quality checks, maintaining Excel documentation, and responding to business-user inquiries. The intern collaborates cross-functionally to ensure accurate and consistent data while following established processes.

Develops and maintains data architecture, integration systems, warehouses, lakes, analytics tools, dashboards, reports, and predictive models across banking systems. Provides data governance, security, compliance, reporting, and ad hoc analysis while supporting strategic initiatives, audits, application management, and cross-functional stakeholders. Serves as a data subject matter expert and evaluates emerging technologies, including AI and cloud platforms.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

The Data Analyst collects, cleans, validates, and analyzes data from multiple sources to support CBP decision-making. Responsibilities include building reports, dashboards, scorecards, visualizations, and performance measurements; identifying trends and data-quality issues; automating recurring analyses; documenting methodologies; and translating findings into recommendations for government and operational stakeholders.

Analyzes and maintains client and account data to support accurate financial reporting and business decisions. Responsibilities include maintaining data quality, building reports and dashboards, supporting data requests, documenting data definitions, partnering with business teams, and improving reporting efficiency. The role requires Excel, reporting and visualization tools, SQL, strong analytical skills, clear communication, and familiarity with AI tools such as Claude and ChatGPT.

Analyzes operational, commercial, and market data to support leadership decision-making. Develops and maintains Power BI dashboards, Excel reports, and performance analyses covering revenue, costs, market share, competitive activity, and operational trends. Validates data, resolves discrepancies, supports field operations and sales, communicates insights to stakeholders, and improves reporting processes and data quality.

Analyze healthcare data to support episode pricing and business decisions. Develop reports, visualizations, data audits, quality monitoring, and ETL/ELT workflows. Gather stakeholder requirements, document data processes, identify metrics, evaluate data usability, and communicate actionable insights. The role also supports data-quality improvements and workflow optimization using Python and related analytics tools.

Maintains accurate and consistent master data across ERP and related systems. Performs data validation, cleansing, enrichment, governance compliance, issue resolution, integration monitoring, and quality reporting. Documents processes and data definitions, supports system enhancements and testing, and assists end users with data requests and corrections. Collaborates with stakeholders to improve data quality, reporting reliability, and operational efficiency.

Collects, cleans, validates, and analyzes manufacturing, engineering, marketing, sales, pricing, and ERP data. Develops data models, reports, dashboards, visualizations, and actionable recommendations for business stakeholders. Supports data governance, tracks initiatives, collaborates cross-functionally, presents findings, leads improvement efforts, and occasionally conducts operational training.

Staff Data Analyst leading complex, cross-functional analytics initiatives and executive-level decision support. Responsibilities include defining metrics, building scalable data models and infrastructure with dbt, ensuring data quality and governance, developing analytical roadmaps, mentoring analysts, improving data literacy, and advising Sales, Marketing, Finance, and Operations stakeholders.

Own analytics engineering and the data transformation layer by designing data models, warehouses, cubes, semantic layers, and governance frameworks. Improve data quality, observability, metadata, self-service analytics, dashboards, and reporting platforms. Analyze large datasets, optimize queries, conduct testing and code reviews, support modernization initiatives, and collaborate across teams to deliver trusted metrics and insights.

Analyze player behavior, product performance, revenue, retention, and engagement for Zynga Poker. Design experiments, dashboards, ETL pipelines, telemetry, fraud models, and business intelligence solutions. Partner with product, game design, economy, and consumer insights teams to guide decisions and improve player experiences. Contribute to AI-enabled analytics workflows, game integrity initiatives, and analytics best practices.

Analyze supply chain, marketing, brand, and customer service data for a DTC e-commerce business. Build inventory forecasting models, evaluate promotions and product launches, track customer service performance, transform Snowflake data using SQL and related tools, and develop Sigma dashboards. Partner with Supply Chain, Customer Service, Brand Marketing, and Data Engineering teams to improve forecasting, fulfillment, customer experience, and strategic decision-making.

Analyze large relational datasets, optimize SQL queries, troubleshoot data discrepancies, validate data integrity, support ETL pipelines, automate workflows with scripts and orchestration tools, and develop recurring reports and dashboards for leadership and operational decision-making.

Analyzes soccer event, tracking, physical, and performance data to support team decisions, player evaluation, recruitment, opposition analysis, and match reporting. Develops visualizations, metrics, models, reports, and reproducible Python workflows while answering ad-hoc questions and collaborating with sporting stakeholders. Requires strong soccer knowledge, quantitative reasoning, communication, and flexibility for match-related evenings and weekends.

Collects, analyzes, reconciles, and organizes information from multiple sources in support of FBI asset forfeiture operations. Maintains case files and databases, performs accurate data entry, tracks deadlines, coordinates additional information requests, and prepares reports, summaries, documents, and status updates. The role requires strong attention to detail, communication, organization, document review, Microsoft Office proficiency, and the ability to handle legal and non-legal information.

Develop and maintain Workday reports, dashboards, scorecards, calculated fields, and analytics for HR, Finance, Payroll, Grants, Procurement, and leadership. Translate business requirements into scalable reporting solutions, support Workday business processes and upgrades, troubleshoot workflow and security issues, and assist with enterprise data warehousing, ETL, historical data integration, mappings, metadata, and validation.