Top Data Analyst Jobs

Performs data analysis, business intelligence, data management, and data quality work. Builds data solutions, self-service tools, dashboards, metrics, and visualizations; analyzes complex data to support business strategies; and manages metadata, lineage, definitions, access governance, and data quality monitoring. Partners with business and technology teams while using Python, R, Spark, SQL, Snowflake, AWS, and visualization tools.

Analyze complex data and develop managed data solutions, business intelligence tools, dashboards, metrics, and self-service capabilities. Partner with business and technology teams to deliver strategic insights, manage data quality, metadata, lineage, security, and access governance. The role requires scripting, querying, visualization, Snowflake development, and familiarity with cloud services and data governance.

Performs dataset evaluations and assessments to support government decision-making; develops data engineering approaches, identifies data and analytical gaps, and collaborates with software engineers to validate application changes. Provides subject matter expertise to end users, documents repeatable analytic processes, and communicates findings to government officials. The role requires expertise in technical telemetry and telecommunications data, scripting, geospatial analysis, and intelligence-focused analytics.

Own marketing performance analytics across Coalition’s insurance and cybersecurity businesses. Analyze funnels, campaigns, attribution, pipeline, and revenue; synthesize data from CRM, marketing automation, advertising, web analytics, and sales systems; develop measurement frameworks and dashboards; identify actionable recommendations; and present analytical narratives to marketing and executive leadership while partnering with data, sales, and marketing operations teams.

Owns global workforce dashboards, reporting products, analytical data models, and executive-ready insights. Integrates HR, finance, IT, recruiting, payroll, and engagement data to analyze workforce trends, retention, costs, performance, and organizational health. Partners with cross-functional stakeholders to define metrics, improve data quality and governance, automate reporting, and translate complex findings into actionable business recommendations while protecting confidential employee information.

Performs client-facing data analysis across structured and unstructured sources, producing reports, dashboards, summaries, and actionable recommendations. Collects, validates, catalogs, transforms, and retrieves data while supporting data pipelines, warehousing, database entry, and ad hoc analysis. Collaborates with stakeholders and clients to understand requirements and translate findings into technology and business insights.

Analyze large-scale sensor and telematics data from IoT hardware to identify trends, anomalies, reliability issues, and performance improvements. Build dashboards and reports, compare firmware versions, apply statistical and machine learning methods, support customer inquiries, and collaborate on data pipelines and future hardware and software features.

Analyze large-scale sensor, telematics, and IoT data to evaluate hardware performance, reliability, and field issues. Build dashboards and reports, monitor trends and anomalies, compare firmware versions, apply statistical and machine learning methods, and recommend improvements. Collaborate with engineering, product, data science, and customer support teams while helping develop reliable data pipelines and ensuring field insights inform future hardware and software products.

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.

Supports data analytics, reporting, research, process improvement, and special projects. The intern collaborates cross-functionally, researches trends and best practices, and gains experience using data to support business decisions in financial services.

Performs data acquisition, quality assessments, governance reviews, compliance audits, and mission-focused analysis supporting U.S. Cyber Command. Evaluates pipelines, metadata, access controls, platforms, and security settings; develops findings, risk assessments, and recommendations; tracks remediation; maintains data lineage and governance documentation; and supports source onboarding. Collaborates with engineers, cybersecurity personnel, administrators, and government stakeholders to improve data availability, integrity, traceability, and operational decision-making.

Leads data analysis and reporting for Program Management by collecting, validating, interpreting, and presenting business and program data. Identifies trends, risks, discrepancies, and improvement opportunities; develops recurring reports and performance measures; communicates findings to leadership; and supports cross-functional initiatives. The role independently manages analytical assignments, improves reporting processes, and provides recommendations that support program performance and organizational decisions.

Supports Comcast Global Audit by analyzing complex business data, developing dashboards and monitoring metrics, designing scalable data solutions, and automating audit processes. Performs ETL, statistical modeling, visualization, compliance analysis, testing, and documentation using a broad analytics technology stack. Partners with audit stakeholders, communicates findings, maintains automated production processes, and assists with AI audit initiatives. The role requires independent judgment, mentoring of less experienced analysts, and up to 20% travel.

Operate and improve data pipelines supporting construction equipment intelligence. Monitor scrapers and data feeds, diagnose failures, maintain quality gates, manage public-records acquisition and vendor relationships, and conduct SQL-based analysis for dealers and founders. Perform lead-quality reviews, document data sources, coordinate county outreach, and identify silent data failures. The role requires strong SQL, Python, spreadsheet, operational, communication, and AI-assisted workflow skills in an autonomous startup environment.

Lead data strategy and analytics for Compliance and AML, develop ETL and validations, quantify regulatory risk, communicate insights to stakeholders and regulators, and drive cross-functional compliance initiatives.

Lead validation of enterprise-wide analytical tools for risk management: plan and execute validation projects, assess methodology quality and tool risk, prototype best practices, communicate findings, and coach junior staff.

Analyzes, validates, and manages multi-asset investment data feeds, oversees data operations, supports investment data platform implementation, resolves data-quality issues, and contributes to testing, process mapping, governance, documentation, reporting, and cross-team initiatives.

Own monetization analytics across mobile apps and web properties, including subscription, advertising, in-app purchase, and partner-offer revenue. Build reliable datasets and pipelines, manage revenue metrics, analyze pricing and paywall experiments, model LTV and cohorts, evaluate ad monetization, reconcile revenue sources, and support forecasting and prioritization. Communicate insights to Monetization, Product, and business leaders to drive revenue growth and measurable impact.

Own user acquisition analytics across mobile apps and web properties, measuring channel performance, attribution, retention, LTV, ROAS, and payback. Build datasets, pipelines, dashboards, cohort analyses, and predictive models; reconcile MMP, ad network, and internal data; investigate anomalies and fraud; analyze funnels; design incrementality and A/B tests; and recommend budget allocation and channel strategies to the UA team.

Own analytics for cart, checkout, returns, exchanges, and accounts. Design experiments, apply causal inference, diagnose funnel issues, build KPI dashboards, maintain Python and SQL pipelines, and use AI-assisted workflows. Partner with Product, Engineering, and Design to prioritize opportunities and communicate evidence-based recommendations. The role requires strong statistical rigor, technical independence, and comfort with ambiguity in a fast-moving e-commerce environment.

Develops marketing dashboards, reports, and measurement capabilities to analyze customer behavior, campaigns, promotions, media, and demand. Uses SQL, BI tools, segmentation, forecasting, scenario modeling, and media mix modeling to optimize marketing spend and improve conversion, loyalty, revenue, and ROI. Collaborates with marketing leadership and cross-functional stakeholders to deliver actionable insights, automate KPIs, and support strategic planning.

Owns advanced mobile and web analytics for the NPR App, including complex SQL analysis of raw BigQuery, GA4, and Firebase data. Leads A/B and multivariate experimentation, translates behavioral insights into product strategy, develops reporting and self-service tools, ensures data quality, and mentors colleagues and stakeholders on SQL, analytics, experimentation, and data governance.

Conduct end-to-end analysis of complex healthcare data, including medical and pharmacy claims. Build and maintain SQL queries and analytical datasets, create visualizations, document methodologies, validate data, and translate findings into actionable business recommendations. Collaborate with analysts, data scientists, underwriters, product teams, account management, and cost-containment stakeholders to operationalize sustainable analytics solutions.

Develops and maintains Power BI dashboards, reports, and analytics solutions for manufacturing operations. Analyzes operational data to identify trends and support factory decision-making, integrates machine-level data into fairlife’s Unified Factory Data Model, validates data quality, upholds governance and reporting standards, and trains end users on BI tools and data literacy.

Performs advanced data analysis, modeling, visualization, and predictive analytics for client and federal applications. Designs and automates HR performance dashboards, queries relational databases, develops transformation scripts, supports data governance and migration, and recommends measurable process improvements. Serves as a subject matter expert, mentors team members, communicates findings to technical and executive stakeholders, and supports classified national-security-related work.