Top Data & Analytics Jobs

Supports Net New Assets reporting, forecasting, data validation, and insights for Morgan Stanley Wealth Management. Responsibilities include distributing recurring management reports, consolidating reporting across global teams, analyzing trends and competitor flows, reconciling data, validating outputs, and developing actionable recommendations. The role partners with stakeholders across multiple regions and supports Private Markets analytics and additional predictive use cases.

Analyzes healthcare enrollment systems and EDI integrations, gathers and documents requirements, writes SQL queries, validates and reconciles data, supports testing and defect management, and provides application monitoring and issue triage. Level III responsibilities include advanced SQL, automated validation, API and data model analysis, complex specifications, cross-functional leadership, vendor evaluation, and coaching junior analysts.

Manage client relationships and deliver consumer, market, and industry insights using NIQ data and analytics tools. Translate complex data into clear stories, recommendations, and business actions; respond to client questions; identify revenue opportunities; execute service models; lead thought leadership projects; and coach junior team members. The hybrid role requires onsite work in Corona, California, at least three days weekly.

Leads marketing analytics capabilities, including KPI frameworks, recurring reports, executive dashboards, forecasting, predictive modeling, segmentation, and data governance. Translates marketing and business data into recommendations on acquisition, retention, channel performance, ROI, LTV/CAC, and brand health. Directs analytics resources and partners with Marketing, Sales, Finance, and leadership to support data-driven planning, reporting, and strategic decision-making.

Oversee the data reporting function, lead and mentor analysts, establish reporting standards, ensure data accuracy and timeliness, translate business needs into dashboards and reports, improve data quality and workflow automation, and present insights to stakeholders and senior management.

Own end-to-end marketing measurement from campaign tracking through pipeline and revenue. Define tagging, event tracking, dataLayer, UTM, taxonomy, CRM, and marketing automation standards; ensure clean data handoffs, routing, attribution, and reporting. Lead QA and troubleshoot discrepancies across technical and operational systems. Partner with marketing, sales, analytics, engineering, and operations teams to establish measurement frameworks, documentation, data models, and repeatable processes leadership can trust.

Manages KIPP Tulsa’s student information and educational technology systems, ensuring data accuracy, security, quality, and reliable integrations. Develops reports, dashboards, and visualizations; analyzes student and organizational metrics; coordinates compliance reporting; troubleshoots system issues; manages vendors; trains staff; documents processes; and supports leaders in using data for instructional and operational decisions.

Supports the Human Resources organization as a summer People Analytics intern by collaborating on HR projects and working with organizational development, talent acquisition, talent strategy, leadership development, change management, and inclusion teams. The role provides exposure to data visualization, survey analysis, data cleaning and validation, and analytics tools including Excel, Power BI, and Python, while developing professional relationships and business skills.

Analyzes workforce data to guide hiring, retention, organizational design, and people-program decisions. Builds dashboards, reports, data models, pipelines, and governance practices; ensures HR data integrity; automates reporting; identifies workforce trends and risks; and partners with People, Finance, HRIS, engineering, and business leaders to deliver actionable insights.

Analyze marketing campaigns and audience performance, translate data into strategic insights, and build AI-enabled dashboards and automated reporting. Experiment with AI and emerging technologies, evaluate paid media, web, SEO, social, brand lift, and research measurement, and partner with marketing teams and external stakeholders to scale analytics capabilities and improve decision-making.