Top Data & Analytics Jobs

Support CHAMPPS research by extracting and validating clinical data from Epic, building and maintaining REDCap/Qualtrics/Atlas.ti databases, performing data quality checks, generating reports and visualizations, assisting with IRB/grant documentation and project coordination, and maintaining confidentiality while collaborating with multi-site stakeholders.

Support FBI mission by collecting, analyzing, reconciling, and entering information from multiple sources; maintain case files, prepare reports and documents, track case status, coordinate information requests, and provide timely status updates.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

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.

Build and maintain API-based data pipelines, analyze supply chain metrics, create dashboards and alerts, perform root-cause analysis, define KPIs with stakeholders, and document data models and integrations to improve logistics performance.

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.

Retrieve, integrate, analyze, and validate business, medical, operations, financial and customer data. Build repositories, perform data extraction and manipulation, identify trends and root causes, produce reports and visualizations, support ad-hoc requests, and consult with stakeholders to inform business decisions and process improvements.

Lead automation of billing, journal entries, reconciliations, and recurring accounting reports. Design and maintain workflows connecting Accounting with other teams, analyze accounting data, build dashboards, and apply ML for forecasting and anomaly detection. Partner with IT and Accounting leadership, document controls, train staff, and drive automation projects from identification through implementation.

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.

The Splunk Data Analyst will design and maintain Splunk dashboards, optimize SPL queries, and support data visualization and analytics efforts. This role requires collaboration with the Data Analytics team and delivering high-visibility solutions to stakeholders.

The Jr. Business Data Analyst will communicate with clients, analyze performance data, manage PPC campaigns, and develop SEO strategies.

Lead finance-embedded analytics, forecasting mortgage production and revenue, own intra-quarter pacing and P&L models, build data pipelines and dashboards, integrate finance source systems into Snowflake, automate reporting, support earnings/IR, and mentor analysts while delivering executive-grade analysis and recommendations.

Provide executive-grade financial and operational analysis, forecast mortgage production and revenue, own intra-quarter pacing, build automated reporting and enterprise P&L models (loan-level), develop dashboards and pipelines in Power BI/SQL/Excel, support earnings and IR, help build finance data infrastructure on Snowflake, and mentor finance analytics teammates.

Develop and maintain Tableau dashboards and analytics solutions; clean and transform data using Databricks, SQL, and Python; identify automation opportunities; partner with stakeholders to translate business needs into scalable AI/analytics use cases; support client services and business development for federal clients.

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.

Lead analytical work to monitor loan portfolio and originations, detect credit and underwriting issues, build multivariate statistical models, analyze funnels, quantify costs/benefits, present recommendations to executives, design monitoring and controls, and drive implementation using SQL, Python, Excel, AI tools, and financial/statistical techniques.

Build and scale data products for sales, incentives, and payments. Gather requirements, design analytics solutions, partner with stakeholders, test and implement deliverables, support users, and coordinate projects while promoting data governance and quality.

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.

Serve as Product Owner for the contact data domain: define roadmap and metrics, govern global contact data standards, implement AI/ML automation for data quality, consult data consumers, enable integrations and enrichment, and maintain operational monitoring, validation, and reporting to ensure accurate, accessible contact data.

Lead data management, visualization, and reporting for DoS Political‑Military Affairs Security Assistance accounts. Build dashboards, automate reporting, transform data, and support interagency coordination to inform executive decision‑making.

Collect, clean, validate, and analyze data from multiple sources; build dashboards and visualizations in Power BI; develop Power Apps and automate workflows with Power Automate; partner with stakeholders to define metrics, monitor data quality, and document processes to support decision-making.

Maintain and improve subsurface datasets and geoscience project environments; develop repeatable workflows, QA/QC standards, dashboards, and AI/ML-enabled tools; integrate subsurface, production, and commercial data to support geoscience teams and technical decision-making.