Top Data & Analytics Jobs

Analyze and support investment data management implementation and operations. Manage investment data feeds, coordinate with internal and external providers, and provide expertise across asset classes and data types. Support system implementation and testing while communicating findings to investment professionals and senior stakeholders. The role requires knowledge of investment, custody, and financial market data, plus proficiency in Excel, VBA, SQL, relational databases, and reporting systems.

Supports data analysis, cleaning, mining, dashboarding, SEO research, marketing analytics, and AI or chatbot workflows. Collaborates with educators and technical teams to validate analytics models, develop data infrastructure, identify student needs, and improve educational programs. Uses SQL, Python data tools, Excel, web analytics, and visualization platforms to generate actionable insights and document evolving workflows.

Analyzes, cleans, validates, and interprets datasets to support business decisions. Develops data processes, dashboards, reports, visualizations, KPIs, surveys, and benchmarking analyses while monitoring data quality and identifying automation and efficiency improvements. Presents findings to management using reporting tools.

Manage master data, user roles, data quality, reporting environments, and reporting databases. Develop reports and analyses, troubleshoot data issues, support data warehouse and integrity initiatives, evaluate system changes, and train users on dashboards. The role also provides expertise in data structures, mining, cleansing, metadata, and relational databases while translating business requirements into technical solutions.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Serves as a strategic liaison between business divisions and technical teams, translating business needs into data and analytics solutions. Conducts data analysis, gathers requirements, supports reporting and integration initiatives, evaluates solution risks, and prioritizes data projects. The role guides solution design, data architecture, data quality, master data, cataloging, and advanced analytics efforts while presenting insights to business and technical stakeholders.

Owns fraud and market-abuse detection models, rules, and partner-facing surveillance reporting across trading data. Investigates wash trading, collusion, hedging, reverse trading, and other suspicious activity; calibrates thresholds, validates false positives, maintains data quality, and produces evidence-based findings. Requires strong SQL, cloud data warehouse experience, futures and derivatives knowledge, anomaly detection expertise, and the ability to communicate findings to partners and executives.

Lead product analytics for Enterprise Data products, validating analytical tools, assessing methodology risks, researching emerging practices, and translating complex data into actionable insights. Manage validation projects, communicate findings through reports and presentations, and coach junior staff. The role requires advanced data analysis, statistical or econometric modeling, predictive analytics, large-dataset analysis, data governance, and people leadership.

Collect, validate, and manage quality data from ERP, QSYS, and Excel. Develop and maintain Qlik Sense/QlikView dashboards for COPQ, complaints, warranty, audits, and scorecards. Produce regular and ad-hoc reports, support CAPA monitoring, collaborate with IT and cross-functional teams, and drive data-driven quality improvements across multi-site manufacturing.

Develop dashboards, reports, and visualizations for healthcare stakeholders; analyze utilization, patient cohorts, care gaps, and population health trends; translate HEDIS and MIPS specifications into reporting logic; validate datasets and calculations; investigate discrepancies; document analytical methods; and communicate findings to clinical and business audiences.

Analyze multi-platform, multi-market media campaign data, connect ad delivery metrics with campaign KPIs, validate and transform datasets, run AWS and BigQuery queries, create visualizations, and provide insights supporting sales and client account performance.

Owns analytics for BILL’s payments products, setting the measurement agenda, defining KPIs and OKRs, building production-grade dbt models, and conducting experimentation and causal inference. Partners with Product, Engineering, Finance, Marketing, and leadership to identify opportunities, improve data quality, automate reporting, and influence roadmap decisions. Presents executive insights and defends metric definitions and recommendations.

Paid ten-week internship analyzing data and business information, researching organizational needs, developing recommendations, supporting process and metrics improvements, and contributing to cross-functional projects. The intern will document and communicate business requirements, maintain confidentiality and compliance, and present project results to leadership. The role is hybrid in Chicago or Richardson, with at least three office days per week.

Analyze derivatives-market data and develop regulatory reporting standards, schemas, validation rules, mappings, and technical guidance. Review exchange submissions for errors, duplicates, missing fields, anomalies, and cross-dataset mismatches using SQL Server and Redshift. Support data loading, UAT and production troubleshooting, stakeholder coordination, industry working groups, and onboarding of new market participants while maintaining data integrity for CFTC reporting.

Analyzes pharmacy and healthcare data involving utilization, costs, trends, enrollment, incentives, revenue, providers, members, and networks. Develops complex SQL reports, dashboards, data models, validation routines, and reporting systems. Ensures data integrity, automates reporting and validation, communicates insights and recommendations, trains analysts, and supports high-impact pharmacy management decisions. Senior-level incumbents may serve as technical experts, mentors, and project leads.

Processes client-requested data changes, creates data transfer packages, and writes SQL queries against Microsoft SQL databases. Conducts risk assessments, verifies data updates and transfer datasets, creates stored procedures, monitors data across databases, and supports clinical study implementation. Requires strong attention to detail, documentation, communication, prioritization, and occasional after-hours technical support.

The Marketing Data Analyst owns reporting for major release moments, builds social data dashboards, maintains Boolean topic queries, and integrates KPIs into performance reporting. The role analyzes earned, owned, and user-generated social content, supports social listening and channel optimization, and communicates quantitative insights and recommendations to stakeholders. It also requires collaboration with analyst teams, familiarity with gaming franchises and content cycles, and knowledge of social and video platforms.

Lead data analysis supporting USCENTCOM’s data lake, machine learning initiatives, and intelligence operations. Responsibilities include researching and testing data methodologies, analyzing large datasets, developing data pipelines, integrating analytics tools, establishing metrics, visualizing findings, and advising military clients and stakeholders. The role requires translating complex data into actionable recommendations and supporting intelligence products through quantitative and qualitative analysis.

Analyzes economic, operational, public realm, and downtown conditions data to support program improvement, policy, strategic planning, and advocacy. Builds datasets, dashboards, maps, reports, surveys, and presentations; communicates findings to internal and external stakeholders; coordinates with data vendors and public agencies; improves data quality, reporting tools, automation, and staff data-use practices.

Conducts full-lifecycle data analytics, including requirements and design, data cleaning, database linking, statistical analysis, predictive modeling, reporting, visualization, and quality monitoring. Maintains data systems, identifies trends and process improvements, develops collection strategies, and presents findings to stakeholders. The role requires independent judgment, collaboration with management, and occasional mentoring or supervision of less experienced analysts.

Analyzes and organizes information from multiple sources supporting FBI asset forfeiture operations. Responsibilities include reconciling inconsistencies, entering data into databases and spreadsheets, maintaining case files, tracking deadlines, coordinating information requests, preparing reports and summaries, processing documents, and providing status updates.

Analyze marketplace and product performance using SQL, support experiments and advertising-effectiveness studies, build reusable datasets, QA metrics, and document analytics. Collaborate with analytics engineers, data scientists, product managers, engineers, and commercial teams while developing skills in statistics, causal inference, Python/R, and marketing science.

The Data Analyst will analyze player behavior, web and game usage data, and business processes to generate actionable insights. Responsibilities include data exploration and validation, metric development, visualization, statistical analysis, experimentation, stakeholder collaboration, and presenting recommendations that improve user experience and business growth. The role also involves translating data needs into specifications and developing skills in data cloud technologies, data science, storytelling, and AI.

Analyze complex datasets using SQL and Snowflake; perform data profiling, validation, reconciliation, lineage analysis, source-to-target mapping, and root-cause investigations. Support regulatory reporting, data quality assessments, audit evidence, dashboards, and documentation. Collaborate with technical and business stakeholders to translate reporting requirements into data requirements and resolve data issues.

Collects, validates, and analyzes USAF aircraft maintenance data; identifies trends; develops predictive and mathematical models; creates visualizations; and communicates findings to stakeholders. The role uses JMP, MATLAB, Simio, Python, VBA, and Tableau, coordinates data-quality improvements with USAF organizations, conducts technical studies, and provides senior-level guidance to junior personnel supporting the KC-46 program.