Top Data Analyst Jobs

As a Senior Product Data Analyst, you will analyze payment data, define metrics, design experiments, and provide insights to enhance product decisions.

Develops analytical deliverables, business and marketing performance reports, dashboards, and data visualizations. Queries and transforms large datasets, conducts customer and campaign analysis, automates data processes, and provides actionable insights for strategic decisions. Collaborates with clients and cross-functional stakeholders, presents findings, and serves as a subject matter expert in customer analytics, program effectiveness, and financial reporting.

Analyze adoption, usage, colleague experience, sentiment, and business impact data to support firm-wide transformation initiatives. Build and maintain Power BI dashboards, automated reports, and performance monitoring solutions. Conduct deep-dive analyses, optimize reporting processes, and translate complex data into executive-ready insights and recommendations. Collaborate with global stakeholders across functions and organizational levels to measure program outcomes and identify improvement opportunities.

Develops Power BI dashboards, ETL processes, data pipelines, analytical reports, and data-driven recommendations. The role collects, cleanses, validates, and analyzes complex datasets; supports data quality, governance, accessibility, and reporting automation; and translates findings into actionable insights for government leadership and stakeholders.

Analyzes operational performance and financial-impact data for Philadelphia’s Water Department. Responsibilities include acquiring and cleaning large datasets, building data models and views, applying statistical and machine learning methods, identifying patterns, automating predictive and prescriptive analytics, and communicating insights to stakeholders. The role supports resource allocation, asset management, leak detection, water-loss mitigation, and revenue integrity. It requires onsite work, Philadelphia residency, off-hours availability, and participation in an on-call rotation.

Manages data use governance requests from intake through approval, publication, and maintenance. Evaluates business use cases, data sources, sharing methods, metadata, lineage, quality controls, security, privacy, and regulatory requirements. Coordinates decisions among data providers, consumers, technology, risk, security, privacy, and architecture stakeholders. Identifies governance gaps, supports remediation, audits, reporting, and continuous process improvement while maintaining accurate governance records and evidence.

Plans and implements data management processes for defense programs. Reviews contracts to determine documentation requirements, schedules and tracks contractual data deliverables, coordinates customer requirements, performs quality reviews, reports data status, manages electronic and physical deliveries, archives work products, and flows requirements to subcontractors through SDRLs. The role requires active Secret clearance, SAP eligibility, U.S. citizenship, strong communication and leadership skills, and experience with CDRL processes.

Support data management and analytics for investment strategies by ensuring accuracy and integrity of portfolio data, performing reconciliations, automating end-to-end workflows, collaborating with technology and business stakeholders, and delivering recurring analytics and reports for sales, marketing, risk, and investment teams.

Implement StrataJazz software for healthcare system customers by translating integration specifications, configuring ETL processes, and using SQL and Excel to solve data problems. Partner with customers and internal technical teams, lead training, communicate project risks, execute mitigation plans, and support operational improvement initiatives. The role involves healthcare financial and clinical data, Agile implementation practices, and up to 10% domestic travel.

Analyze product and business data to guide product strategy, growth, customer experience, and experimentation. Responsibilities include funnel, cohort, retention, segmentation, monetization, dashboard, and reporting analysis; defining metrics; maintaining event tracking; troubleshooting data quality; integrating data from analytics, advertising, payment, and CRM systems; and documenting tracking plans and metric definitions.

Owns enterprise data governance activities, including metadata management, data cataloging, data quality rules, lineage, profiling, report certification, PII handling, and governance workflow automation. Partners with data stewards, IT teams, business stakeholders, and senior leaders to improve data integrity, regulatory compliance, reporting quality, and governance processes. The role also supports training, stakeholder workshops, process improvement, and mentoring of less experienced professionals.

Build AI-assisted analyses, clean and validate scholar data, create interactive dashboards, develop fair analytical methodologies, and translate findings into clear recommendations for executives. Partner with data and learning teams and present insights to senior leaders. The role emphasizes quantitative reasoning, clear communication, design judgment, high agency, and rapid learning rather than a specific background or number of years of experience.

Perform data analysis, develop KPIs and dashboards, build reports and visualizations, manage and integrate data sources, support client-facing marketing and communications projects, apply predictive and machine learning techniques, and present actionable insights to stakeholders to improve campaign and program performance.

Analyzes structured and unstructured data to support USSOCOM decision-making. Develops dashboards, visualizations, reports, data models, and workflows; writes queries and scripts; performs data quality checks; documents data processes; and collaborates with database administrators, engineers, and mission stakeholders. The role also supports operational planning, mission readiness assessments, cybersecurity and data governance compliance, stakeholder presentations, and mentoring junior analysts.

Lead paid media analytics for Life Company, using SQL/Python and advanced statistics to measure and optimize paid social/search and AI-powered search. Build audience segmentation, run incrementality/experimentation, create visualizations and recommendations, and partner with marketing to drive acquisition and engagement.

The Data Analyst Supervisor leads a team to provide data-driven insights, oversees projects, ensures data accuracy, and collaborates across departments for strategic decision-making.

Collects, analyzes, validates, and interprets large datasets to support strategic decisions. Develops reports, dashboards, visualizations, data collection systems, and automated analysis processes. Identifies data quality issues, ensures governance compliance, presents actionable insights, and supports process, organizational, product, and IT system improvement initiatives.

Owns production data systems end to end, including data models, ETL and API integrations, applications, platform maintenance, data quality, governance, and technical debt. Supports OPSDB and exploration operations, improves reliability and alerting, documents systems, collaborates with cross-functional and nontechnical stakeholders, and mentors junior analysts. The role also supports procurement and inventory initiatives, works with geologists, and requires occasional international travel to exploration sites.

Collects and analyzes internal and external data to identify trends, opportunities, and risks. Develops dashboards, reports, and visualizations for leadership; monitors KPIs; partners with advisors to answer business questions; and supports strategic planning through forecasting, modeling, and scenario analysis.

Support banking data and analytics by extracting, validating, organizing, and analyzing operational and customer data. Identify trends and anomalies, reconcile discrepancies, monitor data quality, and prepare summaries, tables, visualizations, recurring reports, dashboards, and ad hoc analyses for business and compliance stakeholders. Document data sources, assumptions, and methodologies while following regulatory, data-handling, and reporting standards.

Analyze large relational datasets, develop optimized SQL, validate data quality, troubleshoot discrepancies, maintain ETL pipelines, automate workflows with scripts and scheduling tools, and produce recurring reports and dashboards that support leadership decision-making in a controlled data environment.

Analyze and validate data from multiple sources, build automated dashboards and ad hoc reports, perform statistical testing, and provide insights that support business decisions. The role collaborates with data engineering and business teams, maintains data systems, improves data quality, identifies new data sources, and helps define the data initiative roadmap.

Analyze data using SQL within financial services, with a focus on Anti-Money Laundering (AML). Candidates must be local to New York City and available for a two-month contract, with phone and in-person interviews. Experience or knowledge of FCRM is a plus.

Collects data from applicable systems, gathers requirements for forms and charts, analyzes data, creates visualizations, maintains databases, assists with software validation, and develops training materials. Requires strong Microsoft Office skills, communication abilities, and SAS experience, with Statistica and JMP preferred.

Supports developmental and operational testing for military test-range systems. Coordinates instrumentation data requirements, analyzes pre-test predictions and collected data, identifies anomalies, develops basic analysis tools, presents findings, supports control-center test activities, and helps author final test products. Provides technical knowledge of electronic warfare, radio frequency, or protocols while organizing small project teams and improving testing processes.