Top Data & Analytics Jobs

Own end-to-end product and marketing analytics for subscription products and web funnels. Define KPIs, build trusted dashboards and reusable SQL data models, analyze funnels, cohorts, retention, LTV, churn, and user behavior, and identify optimization opportunities. Maintain event tracking and taxonomy, monitor anomalies, communicate insights to stakeholders, and mentor junior and mid-level analysts. Collaborate cross-functionally with Product, Marketing, Data Engineering, and BI teams to support experimentation and data-driven decisions.

Analyze healthcare, financial, and utilization data to identify inefficiencies, support data-driven decisions, maintain dashboards, build analytical models, communicate insights, and monitor improvement initiatives across the organization.

Build and govern KPIs and dashboards, partner with stakeholders on measurement, develop scalable data pipelines, run deep-dive analyses, close reporting gaps, and promote best practices in visualization and metric consistency.

Lead product analytics for the Dealer team: run exploratory analyses, build and audit metrics, create dashboards, automate data transformations (dbt/LookML), partner with Data Engineering, and present insights to influence product strategy. Use SQL, Python/R, and GenAI tools to solve complex data problems and improve product performance.

Designs supply chain data governance frameworks, monitors data quality metrics, investigates discrepancies, and supports data cleansing across SAP ERP and WMS platforms. The role validates data integrity during migrations and integrations, develops SQL queries and Python automation, builds Power BI or Tableau dashboards, and partners with logistics, procurement, IT, and Enterprise Data teams to improve data pipelines and operational processes.

Delivers recurring weekly and monthly sales reporting for Individual Life Insurance distribution partners. Maintains Tableau dashboards and reporting templates, validates and reconciles data across sources, investigates discrepancies, handles routine ad hoc requests, follows documented processes, and escalates complex issues. The role requires accurate execution, clear communication, sound judgment, and continuous improvement of reporting quality and efficiency.

Manages enterprise data assets and designs data management strategies, governance frameworks, database architectures, and operational processes. Leads database modernization, migration, scalability, security, high availability, disaster recovery, performance optimization, automation, and capacity planning. Collaborates on architecture decisions, maintains documentation, ensures regulatory compliance, and mentors database administrators and developers. Requires seven years of experience, Epic ODBA certification, and expertise across relational and cloud database platforms, scripting, infrastructure-as-code, monitoring, and data architecture.

Manages item, BOM, routing, and attribute master data to ensure accuracy, consistency, and governance. Performs data validation, standardization, quality checks, reporting, and analysis using Oracle and business intelligence tools. Partners with Supply Chain and cross-functional teams, maintains SharePoint content, and supports ERP implementations, upgrades, acquisitions, and data migration initiatives.

Analyze complex financial and organizational data using SQL, dbt, and Tableau to create dashboards, models, pipelines, and actionable recommendations. Collaborate with business partners to define analytics needs, validate results, document data assets, maintain reporting tools, provide technical assistance, and present insights to leadership. The role also includes peer review, project coordination, vendor evaluation, and mentoring junior analysts.

Analyze and visualize R&ME and OEM repair data, automate tasking, maintain dashboards and Digital Coaches, support scorecard initiatives and NAVSUP R&ME activities, and create documentation. The role collaborates with branch heads, cross-functional teams, and senior stakeholders while supporting DoD weapons-system acquisition, aviation depot, MRO, and manufacturing environments.

Analyzes B2B marketing performance across campaigns and channels, builds dashboards and forecasting models, measures ROI and funnel metrics, evaluates lead and pipeline quality, supports experimentation, and presents actionable insights to guide marketing investments and partner growth.

Designs and maintains BI datasets, data models, reports, dashboards, and visualizations. Extracts and transforms ERP data using SQL and related tools, develops Python or Excel/VBA reporting solutions, and creates QVD files from disparate sources. Partners with stakeholders and IT to improve data accuracy, security, documentation, processes, and decision-making through intuitive self-service analytics.

Analyzes the RFQ-to-award pipeline, consolidates and validates business data, and develops dashboards, scorecards, forecasts, and executive reports. Evaluates win rates, proposal activity, pipeline health, revenue opportunities, and performance trends. Partners with program management, sales, engineering, estimating, and business development teams to improve data quality, standardize KPIs, automate reporting, identify process bottlenecks, and support strategic decisions.

Builds and maintains Power BI dashboards, paginated reports, semantic models, and automated data workflows focused primarily on manufacturing analytics. The role writes SQL and DAX, validates data accuracy, gathers stakeholder requirements, translates business questions into insights, presents findings, and supports self-service reporting. It collaborates with data engineering, software development, executives, and manufacturing leaders while monitoring report performance and data quality.

Lead analytics for Business Cards & Payments field strategy by building data solutions, dashboards, and data-quality tooling. Partner with business stakeholders to deliver insights, manage data governance, and implement self-service analytics using scripting, BI tools, and cloud services.

Leads data analysis supporting Navy logistics by building Power BI and Qlik Sense dashboards, conducting statistical and exploratory analysis, developing KPIs, and transforming DoD datasets. The role cleans and integrates data using SQL, Python or R, builds ETL/ELT pipelines in Databricks, and works with ADVANA and cloud data environments to deliver reliable, executive-ready analytics. It requires an active Secret clearance, a technical bachelor’s degree, and at least five years of professional experience.

Retrieves and analyzes institutional data to create reports supporting college leadership, strategic planning, assessment, and performance improvement. Develops KPIs, metrics, and surveys; provides consultation and training on data interpretation; partners with IT to maintain a secure data repository; and performs ad hoc analyses and project support for academic units and college offices.

Analyze Medicare and Medicaid datasets, design analytical approaches, review R and SAS programming, build healthcare financial models, and translate complex findings into visualizations, presentations, publications, and policy recommendations. The role manages multiple consulting projects, collaborates across teams, presents results to clients, and supports healthcare policy and business decisions.

Supports an enterprise data governance program by establishing governance standards, maintaining data dictionaries and metadata repositories, defining data quality rules, documenting lineage, conducting profiling and validation, and creating governance dashboards. The role partners with business and technical stakeholders across AWS and Snowflake environments and supports data classification, retention, and lifecycle management initiatives.

Supports client data integration by analyzing file structures, creating source-to-target mappings, configuring imports, validating transformations, troubleshooting ingestion failures, and supporting onboarding. The role performs testing, production support, documentation, and process improvement while collaborating with clients, QA, implementation managers, and ETL developers. It requires data mapping, ETL familiarity, SQL knowledge, and experience handling CSV, XML, and JSON files.

Transforms enterprise IT operations, monitoring, KPI, and performance data into executive dashboards, heatmaps, trend analyses, forecasts, anomaly detection, and narrative insights. Integrates data from monitoring, ticketing, incident, and operational systems; develops standardized reporting templates; documents analytical workflows; and collaborates with engineering, service desk, cybersecurity, and PMO teams to support federal reporting and leadership decisions.

Supports compliance testing for consumer lending and servicing by sourcing and analyzing loan-level data, building sampling and automated testing scripts, evaluating internal controls, identifying performance trends, preparing compliance KPIs and reports, and communicating control weaknesses and remediation plans. The role also contributes to data architecture and develops subject-matter expertise in financial services compliance.

Leads complex data analytics projects from strategy through completion, delivering predictive models, statistical analyses, dashboards, and actionable insights. Owns data integration, transformation, visualization, experimentation, governance, and ELT quality across Snowflake, DBT, Tableau, and Metabase. Partners with cross-functional stakeholders, mentors analysts, promotes self-service reporting, and communicates findings to leadership. Requires 5–8 years of analytics or business intelligence experience.

Analyze consumer sales and order data to identify purchasing trends, product preferences, pricing impacts, and trade-up behavior across products, stores, markets, and time periods. Translate findings into actionable recommendations for product and business decisions while developing skills in data analysis, visualization, problem solving, and stakeholder communication.

Build and maintain facility maintenance performance dashboards, monthly reports, cost-avoidance analyses, and failure/lifecycle analyses. Define metrics with government customers, validate data quality, document data sources and calculation rules, support parts-demand planning, and explain data issues to operations staff. The role requires SQL, dashboard design, data visualization, and compliance with sensitive-data and CUI handling practices.