Top Data & Analytics Jobs

The Data Analyst will analyze data to support operational capabilities, conduct data quality assessments, and lead data mapping efforts for a new enterprise data platform.

The Data Analyst builds and maintains performance data pipelines and dashboards, ensuring compliance with privacy regulations while supporting program reporting and decision-making.

The Data Analyst will provide data solutions, build data pipelines, develop visualizations, ensure data integrity, and stay updated on analytics trends for a Department of War client.

As a Senior Data Analyst, you will analyze complex data, mentor junior analysts, develop AI-based tools, and ensure data integrity while collaborating with cross-functional teams to drive insights and strategic decisions.

Support D2C and B2B growth by building automated dashboards, performing funnel and conversion analyses, tracking lifecycle marketing and ad performance, and partnering with cross-functional teams to scale growth initiatives. Learn from mentors and progress into owning growth and marketing analytics domains.

Build and maintain operations-focused dashboards and analyses to drive process improvement, quality, and efficiency. Integrate data from ADP, Smarteeva, and other sources; perform statistical analysis; present insights to leadership; partner with Technology and Process Engineering to support automation and monitor operational changes.

Manage market data sourcing, licensing, and entitlements across global vendors. Support portfolio managers and oversee data compliance and usage tracking.

The Lead Data Analyst will lead data analysis for public health projects, supervise analysts, and develop statistical models and reports.

As a Data Analyst, you'll design dashboards, optimize SQL queries, collaborate with stakeholders, and provide insights to enhance operational efficiency.

Research and analyze emerging data ethics and governance issues, including data sovereignty, AI governance, open data, and benefit-sharing. Conduct stakeholder and community interviews, synthesize findings, and translate them into practical recommendations, policies, guidance, and governance processes. Support data strategy, project planning, documentation, and delivery while participating in the Civic Science Fellows cohort and sharing lessons with WRI and the broader civic science community.

Oversee workforce service provider contracts, compliance, documentation, invoices, participant records, and performance expectations. Analyze data across multiple systems, develop dashboards and reports, monitor quality plans, and recommend system improvements. Lead partnership reviews, site visits, audits, corrective actions, training, and policy implementation while providing technical guidance and supporting continuous improvement.

Own high-impact data products, ingestion pipelines, and granular data feeds end to end. Analyze massive datasets to answer client and stakeholder questions, ensure data accuracy, and derive actionable insights. Improve products and pipelines by developing methodologies, scaling third-party datasets, and creating data modules. The role requires clear communication, attention to detail, methodical problem solving, prioritization, experimentation, and strong ownership. Training includes SQL, PySpark, Python fundamentals, and internal tools.

Maintain student data accuracy and integrity across SIS platforms, educational applications, and integrations. Administer enrollment, scheduling, attendance, grading, reporting, rollover, and related processes. Support New York State SIRS reporting through validation, reconciliation, and quality assurance. Create reports, procedures, documentation, and training materials; provide end-user application support; coordinate vendors, upgrades, testing, and SIS projects. Safeguard confidential student information and identify improvements to data quality and operational workflows.

Perform data extraction, transformation, and analysis to generate insights for USCENTCOM. Build data pipelines, establish KPIs, visualize findings, and present recommendations to stakeholders to support ML/AI efforts and intelligence operations.

Analyzes banking data and business requirements for enterprise data, analytics, BI, ETL, and AI initiatives. Conducts stakeholder workshops, source-system analysis, data profiling, mapping, quality assessment, and gap analysis. Defines KPIs, dashboards, business rules, data lineage, and user stories; supports regulatory reporting, UAT, acceptance criteria, and business sign-offs. Collaborates with business, technology, architecture, and delivery teams using Agile practices and Azure DevOps.

Leads dashboard and reporting solution development using multiple data sources. Performs advanced SQL extraction, Excel analysis, and visualization with Tableau or Power BI. Translates business requirements into actionable insights, ensures data accuracy with technical teams, and mentors junior analysts. Preferred work includes SQL optimization, database administration, ETL development, Python automation, GitLab collaboration, and Agile/Scrum methodologies.

Design, develop, and maintain BI data sets, models, reports, dashboards and visualizations. Extract and transform ERP transactional data, build QVD files, meet stakeholders to gather requirements, and implement best practices for data modeling, security, and self-service analytics to support data-driven decision-making.

Supports QA, monitoring, and enhancement of cloud-based automation systems across physical security contracts. Responsibilities include maintaining data accuracy across Smartsheet workflows, dashboards, employee records, scheduling, training, and reporting systems; producing customer and labor reports; managing KPI analytics; updating data requests; assessing project health; and providing workflow insights and training. The role also supports scheduling, timesheets, PTO processes, and internal and external customer reporting.

The Data Business Analyst will document enterprise data concepts, support conceptual and logical data modeling, and implement data governance standards. Responsibilities include maintaining data ownership, glossaries, quality rules, lineage, metadata, and data catalogs; monitoring data quality; resolving inconsistencies; and partnering with business and technology stakeholders to improve data processes, security compliance, accessibility, and reliability for operational decision-making and AI initiatives.

Perform cross-functional analytics and reporting across sales, marketing, merchandising, eCommerce, site, retail, and channel performance. Build and maintain dashboards, validate data, support experimentation and campaign measurement, develop datasets and models with SQL and dbt in a cloud warehouse, and communicate insights and recommendations to stakeholders.

Design, build, and maintain data solutions and self-service capabilities. Partner with business stakeholders to deliver BI dashboards and insights. Perform data mining, scripting, and analysis across structured and unstructured sources. Ensure data quality, metadata, lineage, governance, and collaborate with tech teams on security and access.

Support development and maintenance of SQL-based data pipelines and analytics workflows. Assist data standardization, build and optimize data models, dashboards, and reports. Perform ad-hoc analyses, monitor data quality, implement validation logic, and collaborate on cross-functional data and risk projects under mentorship.

Analyze complex financial and business data to guide planning, forecasting, investment decisions, and strategic growth. Partner with FP&A, Accounting, RevOps, Product, Marketing, Data Engineering, and analytics teams; automate recurring workflows; build self-service dashboards and data assets; improve analytics infrastructure; and communicate actionable insights to technical and non-technical stakeholders.

Develop and improve TransUnion's IP geolocation technology by analyzing large datasets, implementing automation algorithm improvements, and providing analytic insights. Collaborate with engineers and data scientists, use SQL/R/Python/MongoDB/BigQuery, and communicate findings to nontechnical stakeholders. Hybrid role with regular in-office work.

Support solution architecture by analyzing current-state processes, data flows, interfaces, and reporting needs; produce data mappings, conceptual/logical models, ER summaries, interface inventories, and stakeholder-ready documentation to inform modernization, integration, governance, and release readiness across vendors and Scrum teams.