Top Data Analyst Jobs

Analyzes and integrates complex datasets to produce actionable insights, reliable management reports, and data quality improvements. The role develops SQL-based analyses, monitors and configures systems, supports information systems projects, and communicates findings to technical and nontechnical stakeholders. Candidates must work independently, solve complex data challenges, and be proficient with Microsoft SQL Server, SQL Reporting Services, Excel, Access, databases, and a scripting language.

Develops Power BI dashboards, leads data migration to a new fundraising and ERP system, validates and reconciles data, gathers reporting requirements, builds Power Automate workflows, documents processes, supports staff, and coordinates third-party data integrations. The role requires strong analytics, business intelligence, SQL, data modeling, reporting, and stakeholder communication skills, with approximately five years of experience.

Design and optimize ETL processes, data ingestion systems, streaming applications, and cloud data architectures using SQL, Python, Snowflake, AWS, and Redshift. Maintain and troubleshoot production data pipelines, integrate analytical outputs with business intelligence applications, optimize queries, and collaborate with analysts and engineers using Airflow and Databricks. Evaluate AI tools and emerging technologies to improve data warehouse workflows.

Leads solutions analysis and technical program delivery by translating business and data requirements into feasible technical solutions. Develops data models, analyzes complex datasets, integrates platforms and systems, and provides strategic insights for business initiatives. Acts as a subject matter expert, manages ambiguity and dependencies, mentors team members, and partners with product owners, business stakeholders, operations, and software developers. Applies data analytics, visualization, AI/ML tools, and technical writing to support informed decision-making.

Designs and delivers data-driven audience, targeting, and measurement solutions for digital marketing campaigns. Translates business goals into technical requirements, improves data quality and reporting, standardizes audience documentation, and manages initiative execution, monitoring, issue triage, and alerts. Partners with Marketing, Product, and Technology on platform enhancements while identifying responsible artificial intelligence applications with human oversight, governance, explainability, and measurable outcomes.

Paid, full-time 11-week summer internship for a rising senior pursuing a bachelor’s degree. The intern will analyze customer reliability issues, research escalations, manage resolution through compliance checks and internal coordination, and identify trends using data and AI/ML research methods. The program also includes mentorship, networking, professional development, community service, and cross-functional projects.

Paid, full-time summer internship analyzing customer communication data, optimizing customer touchpoints, identifying message overlap with SQL, and building interactive Tableau dashboards. The intern will help reduce over-messaging, improve customer journeys, participate in professional development and networking activities, and collaborate with departmental teams and an intern cohort.

Analyze and document enterprise data environments for financial services clients, with a focus on Customer and Party Master Data Management. Define data flows, lineage, quality rules, governance models, entity resolution requirements, and MDM implementation roadmaps. Facilitate requirements sessions, collaborate with business and technical stakeholders, and prepare mappings, diagrams, documentation, and presentations. The role requires strong data management experience, financial services knowledge, and proficiency with analytical and documentation tools.

Analyzes large and complex datasets to identify trends, risks, inefficiencies, and business opportunities. Develops reports, dashboards, and analytical models; quantifies business value; and supports AI, automation, and process improvement initiatives. Partners with stakeholders and IT to convert findings into actionable recommendations and decision-support solutions. The role also involves data mining, visualization, process documentation, and presenting complex insights to management.

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.

Maintains and governs enterprise data across Oracle ERP, AS400, and related systems. The role monitors data quality, resolves discrepancies, manages master and transactional data, supports ERP enhancements and data conversions, documents governance standards, trains users, and partners cross-functionally to improve processes, reporting, and decision-making.

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.

Deliver recurring and ad hoc commercial analytics, client reporting, performance-guarantee calculations, dashboards, and value measurement. Define and govern metrics, validate data, improve documentation and workflows, and automate repeatable processes. Partner with Client Success, Commercial, Finance, Product, and Analytics teams to translate complex questions into actionable insights, client-ready narratives, and recommendations that strengthen client relationships and inform business strategy.

Analyze and transform data from Oracle and Microsoft SQL Server sources, build complex queries, validate datasets, and create timely reports using business intelligence tools. Resolve SSIS and ETL issues, manage version-controlled code, participate in peer reviews, collaborate with technical and business stakeholders, and support compliance, regulatory reporting, performance improvement, and organizational initiatives.

Analyze data and develop semantic models for certified data products covering rebates, sales-to-GMR, and inventory. Build and rationalize Power BI dashboards, collaborate with Finance and business stakeholders on requirements and user acceptance testing, and consolidate reports into certified data products. The role requires expertise in Power BI semantic modeling, DAX, advanced SQL, Athena, Redshift Spectrum, dimensional modeling, and star schemas.

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.