Top Data & Analytics Jobs

Create dashboards and automate standardized reporting, analyze and validate data, resolve reporting issues, and guide stakeholders in interpreting business figures. Support Business, Finance, and Operations with forecasting, day-to-day management, and transformation initiatives while promoting data-driven decision-making across the company.

Manages sales incentive compensation data, Workday quality, Fusion configuration, eligibility records, KPI processes, financial modeling, reporting, audits, payroll uploads, and incentive payments. The role supports plan implementation, data validation, participant communications, system training, employee movement updates, and quarterly calculations. It collaborates with People Operations, Finance, HR, leadership, and external vendors to ensure accurate incentive payouts and reporting.

Analyze supply chain business processes and large datasets to identify gaps, improvement opportunities, and actionable insights. Build data visualizations, present findings, catalog data sources and metrics, and support integrated data architecture. Automate complex processes to streamline operational workflows and improve data-driven decision-making.

Collects, consolidates, cleans, transforms, and validates investment data from multiple sources. Coordinates with data owners, technology teams, stakeholders, and external providers; performs ETL and data quality checks; investigates discrepancies; maintains data dictionaries, lineage records, issue logs, and process documentation; and supports analytics and reporting activities.

Analyze complex data to support emerging payments and AirKey initiatives. Build data solutions, self-service tools, dashboards, metrics, and visualizations; provide business insights; and support data quality, metadata, lineage, security, and access governance. Collaborate with business and technology teams while using Python, R, Spark, SQL, Snowflake, AWS, and data governance tools.

Performs database and data quality testing for large datasets, including validating imports, transformations, extracts, migrations, stored procedures, triggers, and queries. Develops SQL-based test cases, investigates discrepancies, documents defects, verifies fixes, and assesses data integrity. Reviews requirements, creates test plans, supports ETL testing, communicates results, and collaborates with data engineers, QA professionals, business analysts, and project managers.

Conduct geospatial and molecular HIV data analysis using R, SQL, or Python; manage, merge, validate, and document datasets; support data governance, reporting, and dissemination; and develop or maintain Power BI dashboards. Collaborate with analysts, review data quality issues and error logs, document corrections, and provide project updates while supporting CDC public health surveillance initiatives.

Transforms fraud and risk data into actionable insights for detection, investigation, recovery, mitigation, and audit readiness. Builds governed Databricks datasets and pipelines, integrates cross-channel data, analyzes fraud exposure and model performance, develops dashboards, and supports regulatory requests. Partners with Fraud Operations, Risk, Technology, and senior leaders to operationalize vendor machine-learning outputs and improve data quality, governance, and risk decision-making.

Analyzes and transforms complex financial and operational data using SQL and Python; integrates, cleans, validates, and models datasets; develops Power BI dashboards and executive reports; supports data governance, quality assurance, federal compliance, and financial decision-making. The role also leads client meetings, documents action items, develops training materials, and supports federal financial management transformation initiatives.

Leads complex customer, market, and business analyses using integrated data from multiple systems. Designs scalable dashboards, reporting frameworks, and analytical products; oversees data acquisition, cleaning, validation, and quality processes. Manages analytical project scope, timelines, and deliverables while communicating insights and recommendations to marketing, sales, IT, executives, and other stakeholders. The role also establishes data governance practices and improves analytical infrastructure and reporting methodologies.

Supports enterprise data validation, Power BI report testing, KPI documentation, data dictionary development, data quality analysis, dashboard creation, and user acceptance testing. The intern works with SQL, Excel, Power BI, and related analytics tools while collaborating with Digital Integration, Finance, Operations, Supply Chain, Engineering, and business stakeholders. The role is onsite in Houston and includes presenting completed work to IT leadership.

Develop and maintain business intelligence solutions, reports, dashboards, metrics, and KPIs for refined-products marketing operations. Transform and analyze data, apply AI-driven models to identify trends and optimization opportunities, evaluate contract and deal performance, and support portfolio recommendations. Coordinate enhancement projects, optimize customer-support processes and tools, troubleshoot systems, and present insights to management and stakeholders.

Develop and maintain Tableau dashboards, data visualizations, analytics solutions, and reporting tools. Clean and transform data using Databricks, SQL, and Python; identify workflow automation opportunities; and partner with stakeholders to deliver analytics and AI use cases. The role also involves client presentations, requirements gathering, business development support, and federal government consulting.

Supports client analytics for higher education scheduling, enrollment, and student success data. Responsibilities include SQL querying, data cleaning, quality validation, analysis, reporting, dashboard and visualization development, and translating findings for nontechnical audiences. The role contributes to consulting engagements, benchmarking, documentation, reproducibility, client data imports, and advisory work while developing technical and domain expertise under mentorship.

Analyzes business data and requirements to support insurance decision-making, KPIs, dashboards, reports, alerts, and data warehouse strategy. Partners with business and technical teams, leads requirements gathering, develops user stories within Agile Scrum teams, presents findings, conducts data profiling, and trains clients on analytical tools. The role requires strong SQL, business analysis, critical thinking, and collaboration skills, with commercial property and casualty insurance knowledge preferred.

Analyzes complex datasets using advanced statistical methods, experiments, predictive models, forecasting, segmentation, and regression. Develops measurement frameworks, KPIs, and reproducible workflows; integrates and validates large datasets; and translates findings into actionable recommendations for clients and internal teams. The role partners on optimization and go-to-market strategies, communicates insights to technical and non-technical audiences, and supports client meetings and occasional field ride-alongs.

Analyzes complex datasets and applies advanced statistical methods to evaluate marketing programs, customer behavior, sales performance, and promotional effectiveness. Develops KPIs, measurement frameworks, experiments, predictive models, and reproducible workflows. Translates findings into actionable recommendations for clients and internal stakeholders, supports data-driven go-to-market strategies, and communicates insights to technical and non-technical audiences using Python, R, SQL, and visualization tools.

Analyzes complex automotive data, standardizes datasets and KPI definitions, partners with engineering and governance teams, and develops scalable self-service dashboards. The role translates ambiguous business needs into data requirements, automates digital analytics programs, investigates trends and attributes, and supports enterprise reporting. It requires SQL, Excel, data visualization, statistical analysis, and AI tool experience. The position is hybrid, requiring at least 10 office days monthly, with travel up to 10%.

Analyze exchange datasets across equities, FX, options, and futures; develop liquidity and order-book metrics; and create commercial, client-ready data products. Apply statistical and machine learning methods to identify patterns, anomalies, and predictive signals. Partner with engineering, sales, marketing, internal teams, and clients on data ingestion, normalization, cloud distribution, product specifications, competitive analysis, and market-data commercialization.

Collects, validates, organizes, and maintains data from multiple sources. Prepares routine and ad hoc reports, dashboards, and summaries; reviews data accuracy and identifies discrepancies. Performs basic analysis and trend reporting to support operational decisions and process improvement. Collaborates with staff on data requests, documentation, confidentiality, and reporting needs.

Analyzes semiconductor equipment, site availability, and service data to identify operational issues and improvement opportunities. The role creates dashboards, reports, Pareto analyses, and maintenance-to-go summaries; supports customer data accuracy; develops tracking systems; collaborates with service and process teams; and translates findings into operational decisions. It also requires field service experience, cleanroom work, frequent travel, and flexibility for varied shifts, overtime, and on-call support.

Provides data analysis, reporting, and coordination support for project managers. Responsibilities include tracking project schedules, budgets, milestones, risks, financials, purchase orders, and performance metrics; preparing dashboards and management reports; coordinating cross-functional data; maintaining project documentation; supporting forecasting, project changes, and continuous improvement.

Collects, cleans, validates, and analyzes data from multiple sources. Develops dashboards, reports, and visualizations using SQL, Excel, Power BI, or Tableau. Identifies trends, monitors data quality, supports KPI tracking, and delivers actionable insights for business decisions. Collaborates with stakeholders, documents analytical processes, prepares regular and ad hoc reports, and recommends process improvements based on data.

Support enterprise data governance, classification, tagging, labeling, lifecycle management, and data protection initiatives in a secure Department of War environment. The role develops governance and data management frameworks, defines ownership and stewardship policies, coordinates tagging across SAP environments, implements security and privacy controls, and creates data masking deployment plans. It requires extensive experience with sensitive enterprise data, governance standards, security controls, and cross-functional coordination. The position is 100% onsite in Rosslyn, Virginia.

Analyze go-to-market performance across Sales, Marketing, and Client Success, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and data marts using Salesforce and modern data-stack tools. Own data quality, documentation, BI-as-code contributions, and AI-enabled analytics workflows. Partner with stakeholders to turn ambiguous business questions into actionable recommendations and deliver results in agile two-week sprints.