Top Data & Analytics Jobs

Lead client analytics strategy, testing roadmaps, quantitative analysis, predictive modeling, campaign evaluation, reporting, and data visualization. Partner with cross-functional teams to deliver high-quality analytical solutions and communicate actionable insights to clients. Use statistical methods and tools including R, Python, SQL, BI platforms, and data warehouses to support marketing decisions, identify growth opportunities, and connect media performance to business outcomes.

Lead compliance analytics for BSA/AML and CRA: tune transaction monitoring and watchlist screening, build and streamline compliance reporting, support UAT, audits and regulatory exams, collaborate with Model Risk, Data Engineering and Technology, and prepare executive reporting.

Performs senior business analysis for complex technology and reporting projects. Gathers and documents requirements, evaluates business processes, supports user acceptance testing, analyzes data and errors, documents data flows, develops reports, and publishes data to public portals and websites. Requires Power BI, Snowflake, and data publishing expertise, along with independent judgment and the ability to maintain quality deliverables and potentially supervise others.

Manage and maintain sales, hierarchy, and agent data within the internal CRM. Analyze recurring reports to identify discrepancies, investigate root causes, detect regional and market trends, and recommend data-integrity improvements. Generate reports using CRM data, Excel, carrier portals, and Monday.com. Ensure accurate information for agents, staff, and carrier partners while communicating insights, best practices, and improvement opportunities to leadership.

Supports market sizing and forecasting models, analyzes market trends and competitive dynamics, and translates data into actionable enterprise insights. Collaborates with global stakeholders across business units, regions, and functions while improving analytical tools, datasets, and methodologies. The role requires expertise in competitor analysis, data analytics, forecasting, market modeling, KPI reporting, and business case analysis.

Conducts prospect research and analyzes biographical, financial, grants, and fundraising data to support foundation and corporate relations. Maintains organization records in Phoenix, reconciles data across AURA, Orbit, and Phoenix, develops reports and forecasts, and recommends strategies to improve fundraising outcomes. Coordinates with research administration, gift administration, and gift officers; supports goal setting, financial reviews, prospect management, campaign reporting, and special projects.

Performs data-quality checks, migration validation, SQL-based reconciliation, discrepancy investigation, and root-cause analysis across large VA healthcare datasets. Supports DMM tools, cutover and go-live activities, reporting, application monitoring, access administration, documentation, and stakeholder meetings. Collaborates with VA, Oracle Health, InterSystems IRIS, engineering, and subject-matter teams to resolve migration issues and implement new data-quality capabilities.

Supports operational reporting, analytics, business intelligence, and automation for advisory operations. Develops and maintains Power BI dashboards, reports, and analytical tools to improve visibility into capacity, service levels, efficiency, satisfaction, and performance. Evaluates operational systems, reconciles data, supports portfolio operations, and contributes to process improvement and project teams. The role also requires learning wealth management operations, securities industry requirements, and relevant financial technology.

Serves as an analytical partner to business leaders by managing KPI scorecards, validating data quality, analyzing trends, conducting market and competitive research, and delivering actionable recommendations. The role integrates internal and external intelligence, uses AI-enabled research workflows, supports analytical project prioritization, and collaborates with data, analytics, business intelligence, and technical teams to develop scalable reporting solutions and insights.

Supports business decisions through data analysis, reporting, data engineering, and process automation. Responsibilities include building data pipelines, Power BI dashboards, and reporting solutions; validating and transforming data; identifying trends; and providing actionable insights using operational, financial, sales, pricing, quoting, and production data. The intern collaborates with business stakeholders and owns analytics projects from concept through implementation.