Top Data & Analytics Jobs

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

The Data Scientist/Analyst will evaluate economic performances, develop performance metrics, and create dashboards for the Department of State, while collaborating on complex challenges through data-driven insights.

Lead analytics and analytics-focused data engineering to produce trusted datasets, dbt models, and semantic layers. Perform client lifecycle and boutique-level commercial analysis, design test-and-learn programs, build Tableau reports with automated distribution, surface actionable recommendations to leadership, resolve data inconsistencies and performance issues, and mentor other analysts.

Lead cross-functional analyses to uncover trends and opportunities, build analytic frameworks, create and optimize BI dashboards, measure initiative impact via KPIs, and promote a data-driven culture across growth, merchandising, product, finance, wholesale, and operations.

Lead analytics for hardware and supply chain metrics across manufacturing, inventory, revenue, COGS, warranty, and activation. Define governed, audit-ready KPIs and data products in Databricks/dbt, ensure end-to-end lineage from ERP and manufacturing to executive dashboards, partner with Ops, Supply Chain, Finance, and Data Engineering, migrate legacy reporting to Databricks, and support external audit cycles.

Analyze and engineer data for Air Force Special Operations Command, identifying data sources, improving collection and reporting, gathering requirements, resolving technical issues, and building self-service data tools. The role develops algorithms using multiple programming languages, advances data quality management through metadata and lineage practices, and supports digital transformation, mission readiness, and data-driven decision-making.

The Senior Director Analyst in MDM leads research and advisory functions, focusing on Master Data Management strategies and providing clients with actionable insights to enhance their data initiatives. This role requires strong analytical skills and the ability to communicate complex concepts effectively.

Creates business intelligence solutions and analyzes complex data to support strategy, finance, revenue cycle, operations, and marketing decisions. The role develops productivity reports and dashboards, benchmarks clinical practice performance, recommends fiscal improvements, prepares presentations, and advises physicians using actionable data. Responsibilities include learning Excel, Tableau, and EPIC reporting systems, collaborating with internal stakeholders across clinical office sites, and supporting physician productivity optimization.

Analyzes organizational and clinical data, develops reports, dashboards, visualizations, surveys, and reporting tools, and presents findings to leaders and boards. Audits data quality, improves workflows and system integration, maintains reporting configurations, supports quality improvement and patient management initiatives, and trains users on data systems. The role collaborates with stakeholders, ensures privacy compliance, and travels between organizational and partner sites as needed.

Support enterprise data governance by curating metadata, managing business glossary terms, performing advanced data profiling/analysis, identifying anomalies, documenting issues, maintaining governance artifacts, and facilitating workshops to improve data quality and literacy.

Analyze business reporting needs, translate requirements into technical specifications, and design dashboards, scorecards, and tabular reports. Develop and maintain SSRS reports using Visual Studio, Report Builder, and complex SQL queries. Validate and reconcile data across sources, eliminate redundant reporting elements, and troubleshoot report and database issues while collaborating with business stakeholders, analysts, engineers, and subject matter experts.

Analyze business reporting needs, translate requirements into technical specifications, and design, develop, maintain, validate, and troubleshoot dashboards, scorecards, and reports using SSRS, SQL, Visual Studio, and Report Builder. Collaborate with stakeholders, analysts, engineers, and business leaders to reconcile data, optimize queries, eliminate redundant metrics, and deliver accurate reporting solutions that support business decisions.

Analyzes healthcare claims, provider, reimbursement, and financial data to support out-of-network dispute negotiations, arbitration, QPA accuracy, and IDR performance. Builds SQL-based reports, dashboards, data processes, metrics, and financial views; validates data quality; integrates internal and external sources; identifies trends and risks; and presents actionable recommendations to leadership and cross-functional stakeholders.

Develop and maintain Python-based automation tools, scripts, and data pipelines for complex datasets. Perform exploratory data analysis, apply statistical methods, troubleshoot data and code issues, and translate analyst workflows into scalable solutions. Collaborate with cross-functional engineering and data teams using Git and Agile practices, document tools, communicate findings, and support mission-focused aerospace and defense programs.

Analyzes autonomous-vehicle data and driving scenarios to validate dataset quality, identify edge cases and coverage gaps, monitor quality metrics, and investigate anomalies. Reviews annotation batches, maintains dashboards and reports, and automates validation and testing workflows using Python, Pandas, and ClickHouse. Collaborates with product and engineering teams to improve annotation efficiency, testing processes, and data quality.

Develops and maintains institutional dashboards, reports, data repositories, and reporting structures. Extracts and analyzes student and institutional data for strategic planning, accreditation, external reporting, academic standing, surveys, and program review. Conducts data audits, ensures FERPA compliance and data quality, documents reporting procedures, trains campus users, and collaborates across departments to resolve data-related challenges.

Conduct research and provide strategic advice on HR technology, data governance, HCM systems, and AI’s impact on HR. Develop thought leadership, market analysis, presentations, and client recommendations for CHROs and HR technology leaders. Track vendors and emerging technologies, support sales and conferences, review peer content, improve research processes, and mentor junior analysts. The role requires executive presence, strong analytical and communication skills, and collaboration with global clients, including at least 6–8 hours monthly supporting Asia-Pacific organizations.

Collect, clean, and transform data from multiple sources; build data pipelines, models, and statistical analyses; design interactive dashboards and visualizations (Tableau/Power BI); communicate insights to stakeholders; maintain data dictionaries and adhere to governance and security.

Design, build, and maintain data pipelines, dashboards, and predictive models. Analyze large datasets to generate actionable insights, collaborate with stakeholders, ensure data quality and governance, and document/share analytics best practices to support Marketing, Product, Operations, and Workforce teams.

The Data & AI Analyst will manage customer data migrations, enhance internal tools, build reporting solutions, and collaborate on data quality with engineering.

Lead analytics for enterprise systems to convert operational data into actionable insights. Build automated reports, dashboards, and data pipelines using SQL, Python, Snowflake, and BI tools. Partner with Manufacturing, Finance, and Engineering to analyze production drivers, support regulatory and financial reporting, improve data QC, and document data tools and workflows.

The Senior Analyst leads data integration projects, implements data pipelines, mentors engineers, ensures production readiness, and fosters engineering excellence within the team.

Validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses, and reporting. Investigate production incidents, design test strategies and automated validation, perform regression and non-functional testing, analyze data quality metrics, support compliance/audit activities, and collaborate with engineering and business stakeholders to improve data governance and controls.

Analyze, cleanse, and manage investment data from multiple sources, evaluating vendor data quality and supporting portfolio management, trading, compliance, and reporting systems. The role develops business logic, data structures, pipelines, testing processes, and automation while helping define new data products and improve operational efficiency. It also requires collaboration with internal stakeholders and data engineers, plus mentoring junior analysts.

Supports sales operations by maintaining client, asset, cash flow, and CRM data accuracy. Processes vendor data, identifies discrepancies, supports data governance, documents processes, communicates analyses, and helps define requirements for business systems and projects. Collaborates with sales, operations, technology, and global stakeholders to improve data-informed decision-making and reporting.