Top Data & Analytics Jobs

Analyzes healthcare data using SAS, SQL, Excel, R, Python, Tableau, and related tools to identify trends, variances, outliers, and improvement opportunities. Creates reports, dashboards, tables, and visual presentations for technical and non-technical stakeholders. Supports healthcare intervention measurement, data entry, database functions, documentation, research, and policy compliance.

Analytics interns will analyze datasets, generate actionable insights, develop reports, participate in the full analytics lifecycle, support model building and presentations, and complete ad hoc projects. They may work across credit risk, loan servicing, marketing, supply chain, retail, or automotive analytics. The role requires strong analytical, problem-solving, communication, and reporting skills in a fast-paced, on-site environment.

Analyze and validate data from multiple sources, build automated dashboards and ad hoc reports, perform statistical testing, and provide insights that support business decisions. The role collaborates with data engineering and business teams, maintains data systems, improves data quality, identifies new data sources, and helps define the data initiative roadmap.

Creates graphic designs, multimedia content, dashboards, maps, charts, and other data visualizations. Transforms complex data into accessible visuals, develops web and print content, manages websites and SharePoint sites, and recommends user-experience improvements. Collaborates with clients and senior stakeholders, manages project tasks, provides technical and editorial guidance, and ensures products follow branding and quality standards.

Analyze data using SQL within financial services, with a focus on Anti-Money Laundering (AML). Candidates must be local to New York City and available for a two-month contract, with phone and in-person interviews. Experience or knowledge of FCRM is a plus.

Aggregates, analyzes, updates, and reports global service center data; identifies process and system improvements; refines case management fields; develops recommendations; documents standard operating procedures; and collaborates with Sales, Customer Service, Marketing, and Global Service teams using Salesforce and related analytics tools.

Processes, analyzes, and interprets geophysical data, especially electrical resistivity and seismic datasets. Troubleshoots data acquisition equipment, supports survey design and technical report writing, integrates GPS and surveying data, and completes project documentation. The role may include limited fieldwork, requires adherence to OSHA and MSHA safety requirements, and supports project engineers and senior management.

Analyze strategic business problems using SQL, Python, statistics, data science, and AI tools. Develop KPIs, self-service analytics, automated monitoring, dashboards, and AI-powered workflows. Partner with Product, Operations, Marketing, Finance, and Clinical Operations to identify opportunities, generate actionable insights, improve forecasting, and support strategic decisions. Communicate recommendations to leadership and build scalable, data-driven operational processes.

Collects and enters investment manager, index, custodian bank, and client data for the Performance Measurement and Analytics Department. Reconciles data with third parties, troubleshoots discrepancies, maintains deadlines and procedures, downloads financial information using industry databases, and supports team members. The role requires strong attention to detail, communication, organization, analytical and problem-solving skills, proficiency with Microsoft Office, and the ability to work independently in a deadline-driven environment.

Conduct quantitative research across systematic investment strategies, analyzing large datasets, portfolio risks, signals, and fund outcomes. Develop analytics, KPIs, reporting mechanisms, and tools used by portfolio managers and researchers. Partner with quantitative researchers, traders, technologists, and portfolio managers to uncover insights and improve decision-making. Apply statistical techniques, programming, risk management, and modern AI tooling to solve complex problems.