Top Data Analyst Jobs

Support senior leaders by preparing tasking packages and staffing materials, provide risk mitigation, COAs, and ROI-based decision modeling to support Air Force missions and operational plans.

The Data Analyst will support a proposal effort and require extensive experience with US Navy project management, needing a minimum of 12 years.

Partner with Product and Engineering to define metrics, run root-cause analyses and experiments, build tracking, reporting, and automated alerts, model data in dbt/BigQuery, scale AI-assisted analytics for self-serve, and communicate insights to drive product and business decisions.

As a Data Analyst, you'll collect and preprocess datasets, perform feature engineering, and collaborate on data pipelines while generating insights through reports and visualizations.

Prepare analyses for Merch & Planning, write intermediate-to-complex SQL against Snowflake, manage Tableau BI (modeling, standards, automated reports), present insights to stakeholders, partner with data engineering, and build scalable analytics solutions to inform business strategy.

Build forecasts, financial models, dashboards, datasets, and automated reporting workflows for Deposits and Treasury Management. Analyze market conditions, deposit pricing, portfolio performance, funding, liquidity, and costs. Use Databricks, SQL, Python, Excel, BI tools, and AI tools to modernize processes and deliver executive- and board-ready insights. Partner with Treasury, Finance, Marketing, Embedded Banking, and Merchant Services while maintaining regulatory awareness.

Supports ERP data migration and harmonization by cleansing, validating, mapping, and standardizing business-unit data for SAP S/4HANA implementations. Collaborates with data SMEs and migration teams, validates business rules, resolves data defects, develops data-quality metrics and reports, and supports ongoing data integrity after migration. The role requires strong SAP module and data-structure expertise, with SQL, ABAP, and Syniti experience preferred.

Supports ERP data migration and harmonization by cleansing, mapping, validating, and standardizing business data for SAP S/4HANA implementation. The role resolves data defects, validates business rules, develops data-quality metrics and reports, collaborates with business and digital technology data teams, and supports ongoing data integrity after migration. Expertise in SAP data structures, core modules, deployment, and migration processes is required, with SQL, ABAP, Syniti, SAP MDG, and PLMSI experience preferred.

Supports ERP data migration and harmonization by cleansing, mapping, validating, and standardizing SAP data. Collaborates with business and technology data teams, resolves migration defects, validates business rules, develops data-quality metrics and reports, and improves data governance. The role also supports post-migration data integrity in SAP S/4HANA and may contribute to technical cutovers and system integration improvements.

Performs independent quality assurance and validation across enterprise data platforms, warehouses, integrations, reporting solutions, and business processes. Responsibilities include data quality analysis, test strategy and automation, regression and release validation, incident investigation, root cause analysis, requirements traceability, governance, regulatory validation, and monitoring data quality metrics. The role partners with engineering, business, compliance, and operational teams while improving enterprise data integrity, reliability, and governance.

Design, deploy, and maintain scalable data pipelines and analytics solutions; ensure data quality via governance and monitoring; optimize APIM for data interaction; create dashboards and visual reports for portfolio and divisions.

Supports investment management data systems by improving data integrity, reporting, process automation, and operational efficiency. Processes and quality-controls portfolio data, troubleshoots systems, builds actionable reports, and assists with portfolio analysis, cash-flow projections, and financial modeling. Partners with investment, sales, client relations, and business teams while responding to data and reporting inquiries. The role also leverages AI tools to improve data access, workflow efficiency, and decision-making.

Designs, develops, and maintains BI data models, reports, dashboards and visualizations. Extracts and transforms ERP transactional data, coordinates QVD file creation, meets stakeholders to gather requirements, and implements best practices for data accuracy, security, and self-service analytics. Uses SQL, BI tools, Python or Excel/VBA to drive business insights and operational efficiencies.

The Senior Data Analyst will own data models and drive analytical initiatives, ensuring data quality and reliability while providing insights to stakeholders. Responsibilities include managing dashboards and supporting the team with analytics.

The Data Analyst will collect, organize, and analyze data from various systems, ensuring data quality and supporting cloud solutions.

Provides user-facing data and technical support by troubleshooting system and data issues, investigating anomalies with SQL and Python, validating reports and dashboards, and coordinating resolutions with BI, engineering, product, and operations teams. Builds support dashboards and reports, maintains data definitions and governance documentation, participates in UAT and QA, performs post-incident reviews, and develops support playbooks. Communicates technical findings to non-technical stakeholders and uses AI-assisted analytics to improve investigations and business insights.

Perform analysis and build scalable data models, dashboards, and self-serve tooling to inform product, engineering, and leadership decisions. Implement ETL, maintain BI platforms, and deliver data products and visualizations for internal teams and clients to improve operational efficiency and business strategy.

Design, build, and maintain Power BI semantic models, reports, and dashboards; migrate Qlik Sense to Power BI; perform pricing and margin analytics; extract and model ERP and transactional data; support governance, data quality, and stakeholder decision-making.

Analyze and optimize a two-sided healthcare marketplace through health metrics, root-cause analysis, cohort modeling, dashboards, and decision-support analytics. Partner with Demand, Supply, Operations, Product, Data Engineering, and Data Science leaders to guide capacity planning, provider onboarding, market expansion, and operational strategy. Build scalable analytics models and reporting infrastructure while translating complex data into executive recommendations.

Design, build, and maintain data pipelines, analytics-ready datasets, reports and dashboards on cloud platforms (Databricks, Snowflake, Azure). Partner with stakeholders to translate requirements, perform analysis and modeling, troubleshoot data issues, apply development best practices, and share knowledge across teams.

Manage and ensure integrity of safety data across systems; implement data governance, ETL, and validation; analyze trends and KPIs; build dashboards and reports; support incident investigations, audits, and cross-functional stakeholders to drive risk-reduction and performance improvement.

The Forward Deployed Data Analyst will optimize SQL queries, troubleshoot analytics pipelines, and collaborate with customers to enhance their data systems. Responsibilities include diagnosing issues, proposing structural improvements, and coordinating with engineering teams.

Manage end-to-end funding transaction data workflows, validate PR/PO integrity, monitor burn rates and ULOs, track contract lifecycles, build automated Power BI/Tableau dashboards, perform ad-hoc forecasts and analyses, prepare leadership briefings, and ensure data governance and compliance for Directorate financial operations.

Perform contract and funding oversight for assigned groups: prepare and validate funding documents, review purchase requests, track obligations and burn rates, manage contract modifications, analyze data and build reports/dashboards, support dispute briefings, coordinate with finance/contracting/program teams, and author SOPs to improve acquisition and funding processes.

Own RevOps data models and BI infrastructure to drive GTM strategy. Clean and analyze datasets, build predictive models, define and track leading/lagging KPIs, deploy dashboards, document data definitions, and deliver executive-ready insights while partnering cross-functionally with Finance and GTM teams.