Top Data & Analytics Jobs

Lead and implement enterprise Data Governance and Data Risk & Controls strategy. Partner across business lines to define policies, measure adoption, monitor controls, track data issues, produce governance recommendations, and support regulatory/audit responses and performance reporting.

Perform data collection, cleaning, analysis, and reporting to generate actionable insights. Build dashboards and visualizations, collaborate with stakeholders, and support data-driven decision making.

Senior Data and Reporting Analyst responsible for data fulfillment (70%), project management (10%), and subject matter expertise (20%). Prepares and delivers reports, ensures data quality, supports projects, and serves as an SME. Bachelor's degree preferred.

Senior Business Analyst in wealth management focused on data governance: define Key Data Elements, business rules, and data quality controls; profile and analyze data; validate lineage; translate business requirements into technical specs; lead UAT and testing; manage data quality monitoring and remediation; build cross-functional stakeholder relationships and advocate data-as-an-asset.

Lead data quality initiatives across banking lines of business. Own data analysis, remediation, stewardship, and reporting. Resolve complex data issues, manage processes, mentor junior staff, and present status to stakeholders while ensuring regulatory compliance and risk-aware decisions.

Lead and own data quality activities including analysis, remediation, and program implementation. Resolve complex data issues, manage processes and reports, supervise junior staff, present status to stakeholders, and ensure compliance with policies and controls in banking data domains.

The Sr Data Analyst Consultant will focus on data analysis related to data warehousing and ETL processes, requiring prior BA and QA experience, as well as knowledge of billing systems and Time Warner Cable.

As a Sector Analyst, you will analyze alternative data, produce research insights, and collaborate with investment professionals to drive informed decisions.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

Lead and support enterprise data governance efforts: document business and technical metadata, map data lineage, identify and remediate sourcing gaps, implement data quality controls, maintain glossaries/dictionaries, produce governance metrics and reports, and collaborate with regulatory, compliance, and technology stakeholders.

The Data Driven Marketing Analyst analyzes data to provide insights for marketing campaigns using BI tools, statistical models, and collaborating with teams to improve decision-making.

Own and improve vehicle application and product catalog data across PIM systems. Collaborate with Category, Operations, Suppliers, UX, Product, and Engineering to define data standards, implement governance, run audits, train suppliers, deliver analytics and KPIs, and drive roadmap and tooling to improve data quality and customer experience.

Analyze and reconcile enrollment and member data across Medicaid, Medicare, Marketplace, and Duals. Build reports and dashboards, fix data issues, apply statistical techniques, consolidate disparate sources, and partner with operations to ensure accurate coverage and regulatory compliance.

Administer and maintain the Housing Department's databases (Salesforce, SF-HMIS), perform data entry, verification and analysis, produce weekly/monthly and funder reports, ensure contract compliance, train and support staff, maintain filing systems, and assist with special projects and documentation.

The Associate will support the Enterprise Analytics team in client projects, analyses, and collaboration with media teams to drive growth and delivery of Hive's offerings.

Provide 24x7 support for client-facing systems with focus on data quality, reliability, and integrations. Design and build Intapp Integrate integrations, develop SQL for extraction/reconciliation, script automation (PowerShell/Python/C#), deploy and maintain applications, perform testing, monitoring, performance tuning, documentation, and stakeholder collaboration to meet business requirements and ensure secure, scalable data workflows.

The Senior Data Analyst will analyze large datasets, develop models, create visualizations, and collaborate with teams to enhance media analytics and client outcomes.

The Qlikview Analyst will develop business analytics solutions, focusing on visualization and insights, and lead project teams. Requires expertise in data visualization tools and strong analytical skills to drive innovation.

The Data Analyst will analyze marketing and ecommerce data, build reporting, dashboards, and KPIs, and enhance marketing attribution modeling.

The Data Management Analyst analyzes and reports on outcome data to support decision-making, grant reporting, and program evaluation, utilizing systems like SIMS and WellSky.

Maintain and evolve GMO's security master and portfolio data platforms (NeoXam DataHub, Aladdin, Eagle PACE). Analyze large datasets using Python, SQL, and Excel to identify data quality issues, define business requirements, support conversions/migrations, implement controls/automation, and collaborate with stakeholders to modernize data validation and onboarding processes.

The Sr Business Analyst will develop requirements for Master Data Management RFP, collaborate with technical and business teams, document data standards, and assist in implementation and training efforts.

The Data Quality Analyst will manage customer data quality by correcting errors, identifying trends, tracking issues, and assisting in user-acceptance testing, while training new team members.

The Senior Data Analyst will lead complex data analysis projects, mentor junior analysts, develop dashboards, and provide insights to drive strategic decisions. Responsibilities include troubleshooting data issues and communicating findings effectively.

As a Senior Data Analyst, you'll drive supply chain efficiency through data analytics, developing tools to optimize inventory, forecast demand, and support decision-making across operations.