Top Data & Analytics Jobs

Maintain data holdings and data standards, analyze complex geospatial datasets, transform data, create visualizations, and provide recommendations to improve data strategies and machine learning model development.

Analyze, clean, validate, integrate, and visualize data to support Department of State public diplomacy operations. Develop dashboards, reporting tools, automation, and data governance documentation using platforms such as Power BI, Tableau, Power Apps, and Power Automate. Partner with stakeholders to define data requirements, address quality issues, improve data policies and processes, and advance data-informed decision-making.

Analyze complex geospatial datasets using statistical methods, maintain clean and compliant data holdings, build lightweight pipeline-tracking tools, and create visualizations for technical and non-technical audiences. The role supports a geospatial imagery program and requires active TS/SCI clearance, coding proficiency, and experience communicating analytical insights.

Lead HR-focused data management, governance, analytics, and visualization efforts for a public diplomacy office. Consolidate and clean HR datasets, define data requirements and governance, develop interactive dashboards (Tableau/Power BI), provide insights to leadership, advise on data policies, and build data literacy across stakeholders.

Lead advanced risk, fraud, and payment optimization analyses for major fintech merchants. Analyze large-scale transactional, ML output, and labeled risk data; design experiments and statistical investigations; develop scalable analytical tools, ETL workflows, dashboards, and reusable frameworks; collaborate with risk product teams; translate findings into merchant strategies and product improvements; enable commercial stakeholders through playbooks and self-service tools; and mentor analysts.

Leads compliance risk data analytics and testing strategy, plans and executes analytical projects, evaluates analytical tools, prototypes emerging practices, and translates technical findings for legal, compliance, risk, and executive stakeholders. The role also includes cross-functional partnership, written and verbal communication, and coaching and mentoring junior staff.

Analyze, clean, transform, validate, and document structured and unstructured datasets for federal analytics and AI-enabled systems. Maintain data pipelines, develop Power BI or similar dashboards, conduct exploratory analysis, identify data-quality issues, automate reporting workflows, and communicate findings to technical and non-technical stakeholders. Ensure data products meet federal standards for accuracy, governance, compliance, and usability.

Analyzes restaurant customer and business data to uncover trends, generate actionable insights, and support marketing, distribution, and strategic planning. Responsibilities include developing monthly and quarterly reports, communicating findings to senior management, identifying risks and opportunities, and collaborating with marketing, product, data science, FP&A, and data architecture teams.

Analyze business performance, develop hypotheses, answer critical business questions, and build dashboards and reports in Sigma. Support budgeting, forecasting, data quality checks, and reconciliations while partnering with teams across growth, product, insurance, finance, and leadership. Serve as a trusted data advisor by answering metric and reporting questions and promoting data-driven decision-making.

Analyze product, provider network, user engagement, and platform performance data using SQL and Python. Build dashboards, reports, data models, and automated quality reporting with Looker, dbt, and related tools. Partner with technical and business stakeholders to translate quantitative and qualitative insights into actionable product, operational, and strategic recommendations. Support data warehouse architecture, ETL/ELT processes, and senior leadership decision-making.

Analyze instrumentation sensor data from operating nuclear power plants using AMS’s Online Monitoring methodology. Identify trends, anomalies, and potential equipment issues; prepare technical and licensing reports; support field data acquisition, plant-trip activities, software quality assurance testing, and documentation. The role includes training in nuclear instrumentation, proprietary software, regulatory requirements, quality processes, and technical reporting, with opportunities to develop into an independent technical contributor.

Analyze Stripe data and experiments to generate insights, build metrics, dashboards, reports, data assets, and pipelines, and evaluate product and business decisions through analytics and A/B testing. The intern will collaborate with multidisciplinary teams, communicate findings, extend the metrics semantic layer, present recommendations, and support data-driven decision-making across the company.

Analyzes and interprets data for community health research projects, including NIMH-funded implementation and intervention development studies. Responsibilities include data preparation, statistical analysis, predictive modeling, data mining, reporting, dashboard development, quality checks, trend identification, and presenting findings. The role collaborates across teams, manages multiple projects, recommends actionable insights, and may guide less experienced analysts.

Conducts data collection, cleaning, management, statistical and computational analysis for education policy research. Responsibilities include building reproducible ETL pipelines, creating visualizations and research materials, applying machine learning and natural language processing, validating model outputs, managing restricted-use data, reviewing analyses, and coordinating with external collaborators. Senior responsibilities include overseeing analytical projects, documenting methodologies, managing compute and API costs, and serving as a technical contact.

Supports fraud prevention and risk analytics through analysis of complex financial, transaction, trading, and customer datasets. Develops operational reporting on fraud trends, losses, controls, and global performance; investigates patterns and delivers actionable recommendations to Fraud Risk and Control stakeholders and enterprise cybersecurity partners. Builds fraud and scam domain expertise while managing multiple priorities and communicating insights effectively.

The Senior Data Analyst partners with business and technical stakeholders to translate business questions into analytical frameworks, KPIs, dashboards, and actionable recommendations. Responsibilities include marketing analytics, customer insights, CDP and Salesforce enablement, data governance, metric standardization, data-quality improvement, SQL-based analytical dataset development, and executive reporting. The role supports enterprise analytics initiatives across marketing, sales, service, data engineering, and technology teams.

The Senior Data Analyst will analyze sales and marketing funnel performance, customer acquisition, conversion, segmentation, forecasting, experimentation, and market expansion. They will integrate multiple data sources, identify data quality and attribution issues, create scalable datasets and dashboards, monitor performance, and deliver executive-ready recommendations. The role partners cross-functionally with Sales, Marketing, Product, Finance, Data Science, and Data Engineering.

Leads cross-channel measurement strategy and analysis of digital media, web, and business performance. Builds Tableau dashboards and data pipelines, evaluates KPIs, ROI, customer acquisition costs, and lifetime value, and translates findings into actionable insights. Presents analyses through dashboards, deep dives, and infographics while collaborating with agency teams and clients.

Own data governance activities across a Markets domain, including identifying critical data attributes, defining data standards, analyzing quality issues, leading root-cause investigations, monitoring remediation, and maintaining documentation. Collaborate with data owners, stewards, business stakeholders, and technology teams to improve data controls and governance frameworks. Use SQL and data platforms to analyze and automate governance activities.

Supports the Markets Data Office by improving data governance, quality, definitions, documentation, and controls. Builds dashboards, automates governance processes, and develops AI-supported workflows using tools such as Azure, Databricks, and Power BI. Works with data owners, stewards, business stakeholders, and technology teams to translate requirements into practical solutions, validate automated outputs, monitor remediation, and establish standards for critical Markets data.

Supports Markets data governance by identifying critical data attributes, analyzing data quality, documenting definitions and controls, monitoring remediation, and investigating root causes. Collaborates with business stakeholders, data owners, stewards, and technology teams across financial markets domains. Helps establish governance frameworks, standards, tooling, and documentation while developing expertise in trading, risk, products, and operations.

Design and maintain billing data systems that reconcile patient engagement data, codify auditable billing logic in BigQuery SQL, automate data cleanup with Python or Google Sheets scripting, and generate accurate, version-controlled invoice files. Investigate mismatches and edge cases, document workflows, and collaborate with Finance, Sales, Engineering, and Product to improve billing inputs and processes.

Manage data ingestion pipelines, validate data integrity, troubleshoot data issues, conduct ad hoc investigations, and support data needs across business units. The role requires advanced SQL analytics, documentation, stakeholder communication, and collaboration. Preferred skills include Python automation, data pipeline monitoring, Azure or AWS, Git, CI/CD, and healthcare EDI standards.

Develop data solutions, business intelligence tools, dashboards, and analytical insights while managing data quality, metadata, lineage, security, access governance, and data quality monitoring. Partner with business and technology teams to address complex data problems and enable self-service analytics. The role requires scripting, querying, visualization, AWS development, and data governance expertise.

Oversee commissions administration, sales and ticketing reconciliations, and data quality for Ticket Sales and Partnerships. Validate transactions and reporting across Archtics, Great Plains, Salesforce, and CRM systems; investigate discrepancies, duplicates, and assignment errors; maintain audit records; and build Tableau dashboards to monitor data quality. Partner cross-functionally with sales, partnerships, finance, payroll, and operations teams while supporting reporting questions and process improvements.