Top Data & Analytics Jobs

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.

Leads business and data analysis for payment platforms including ACH, Wire, SWIFT, RTP/FedNow, and cross-border payments. Defines requirements, data mappings, architectures, testing strategies, and control frameworks while partnering with business, engineering, architecture, risk, and compliance teams. Uses Python, SQL, BI tools, and AI/ML platforms to generate insights, automate reporting, improve reconciliation, predict failures, and strengthen fraud and regulatory monitoring. Supports ISO 20022 modernization and intelligent, scalable payments operations.

Supports data pipeline, ETL, integration, validation, reconciliation, monitoring, and troubleshooting activities for insurance claims and enterprise data platforms. Collaborates with engineers, product teams, and business stakeholders to understand requirements, improve data quality, and support scalable cloud-based solutions. Participates in Agile ceremonies and develops technical and insurance-domain expertise through mentoring and project work.

Build, QA, and deliver custom audience segments using SQL and data tools; validate data quality and policy compliance; automate workflows; serve as primary stakeholder contact via Salesforce; troubleshoot and document issues; contribute to cross-regional enablement and process improvements.

Lead the design and implementation of a federal data-governance program. Establish operating models, policies, standards, councils, stewardship roles, metadata and catalog requirements, issue-resolution processes, KPIs, training, documentation, and change-management initiatives. Facilitate cross-functional stakeholder alignment, evaluate governance platforms, build reusable assets, and improve data quality, adoption, compliance, and enterprise data maturity.

Manage, structure, and report company and customer data in a SQL-based environment. Build advanced SQL queries, dashboards (Power BI), automated processes (stored procedures, scheduled tasks, VBA/Excel), and analyses across accounting, manufacturing, procurement, inventory, and supply chain. Ensure data classification and security in a regulated environment and support cross-functional stakeholders.

Part-time analyst who maintains CRM and CAMS data, supports enrollment and budget forecasting, creates real-time and historical reports, monitors data quality, identifies process improvements, trains/supervises student workers, and supports recruiting/marketing activities and website content updates in coordination with Marketing.

Develop and maintain interactive dashboards and visualizations (primarily Power BI) to support inventory, manufacturing, supply chain, and operations. Clean and model data from disparate sources, validate accuracy, automate reporting, define KPIs with stakeholders, and communicate actionable insights to technical and non-technical audiences.

Partner with business teams to convert manual reporting and spreadsheet workflows into trusted, self-serve data products and automated processes. Define metrics, build dashboards, scope and write engineering-ready specs, triage tool requests, and deliver lightweight automation or handoffs to engineering to improve reporting trust, reduce manual work, and increase efficiency.

Partner with business teams to convert manual reporting and spreadsheet-driven workflows into trusted self-serve data products and automated tooling. Define metrics, build or scope dashboards and automation, triage and prioritize tool requests, write engineering-ready specs, and deliver lightweight fixes or handoffs to engineering. Measure success by reduced manual work, trusted dashboards, and time saved.

Lead and improve reporting and automation for Client Services by building and maintaining Tableau and Power BI dashboards, automating reports and reconciliations, expanding data warehouse and API integrations, performing SQL and database analysis, managing QC and governance, and collaborating with software/IT, clients, and vendors to drive reporting improvements.

Partner with Product, Engineering, and Design to own product analytics: define success metrics, build data models and dashboards, validate launches, monitor products, run deep-dive analyses, design experimentation, audit tracking across web and mobile, and develop AI-enabled analytics workflows to surface insights and measure product performance.

Monitor, measure, and improve enterprise data quality across domains. Define and implement data quality rules, build automated checks in Databricks (Databricks SQL, PySpark, Delta Lake), perform data profiling and root cause analysis, create dashboards and scorecards, support governance and MDM, and collaborate with engineering and business stakeholders to drive continuous improvement.

Monitor, measure, and improve enterprise data quality across sales, finance, supply chain, loyalty, and customer domains. Define and implement data quality rules, SLAs, and automated checks (Databricks/SQL/PySpark/Delta Lake). Perform data profiling, root-cause analysis, build scorecards/dashboards, support MDM and governance, and collaborate with Data Engineering, BI, and business stakeholders to drive continuous improvement.

Design and implement data pipelines, APIs, and automated workflows to turn structured and unstructured data into actionable insights. Create dashboards, reports, KPIs, and visualizations; validate and cleanse data; troubleshoot integrations and applications; support Agile delivery; and evaluate AI/LLM-assisted workflows to improve federal customer decision intelligence.

Analyze adoption, engagement, and telemetry data to measure product performance and value. Build and maintain executive scorecards and dashboards, partner with Power BI developers and data engineers to ensure data accuracy, identify trends and risks, support leadership reviews, and document measurement methodologies while collaborating with UX researchers and product teams.

The Senior Analyst will support data risk assessments, translate data governance standards into practical tools, and enhance integration of data controls in critical business processes.

The Senior Analyst will support Data Governance policies, document procedures, collaborate with stakeholders, and assist in training and audits.

Drive technology risk reporting and analytics for ERM: analyze risk datasets, build Power BI dashboards, integrate IT/IS/third-party data, assess controls using industry frameworks (COBIT, NIST, ITIL, DCAM, DMBOK), support RCSA, and advise business units on risk mitigation and control improvement.

Support implementation and post-implementation ERP reporting and analytics: gather/report requirements, configure and test reports, write specs and user procedures, create/retrofit reports, execute testing, document issues and enhancements, train users, and provide ongoing maintenance and optimization.

The ERP Data Analytics and Reporting Analyst handles requirements gathering, report configuration, and post-implementation support for the ERP system.

Turn data into actionable insights by building and maintaining reports and dashboards, identifying trends and data quality issues, writing dbt transformations for analytics models, and collaborating with stakeholders and data engineers to ensure reliable data and clear visualizations that support business decisions.

Build and maintain SQL queries and automated data workflows to support CARF and 1099-DA regulatory reporting. Validate, reconcile, and document reporting data; partner with cross-functional teams; track work in Jira; identify automation opportunities; support testing, audits, and jurisdictional implementations.

The Analyst will manage data and perform financial analysis on private equity and alternative assets, while providing feedback for the analytics platform.

Join Oliver Wyman's Data & Analytics team to design and implement analytics and ML solutions, build prototypes, communicate results to clients, and support projects across industries including finance, energy, retail, and transportation.