Top Data & Analytics Jobs

Build scalable cloud data infrastructure and pipelines to transform transactional and financial data into reporting-ready datasets. Ensure accuracy, traceability, governance, and observability; partner with cross-functional teams, mentor engineers, and leverage AI-assisted tools to improve engineering productivity and enable AI-powered applications.

The Senior Product Analyst collaborates with Product Managers to analyze data, identify metrics, and provide recommendations to shape product strategy and improve customer experience.

Build and own the data warehouse, analytics, and self-serve BI; define metrics and data models; prepare datasets for ML/AI features; partner cross-functionally to deliver dashboards, ensure data quality, and document systems as the companys first analytics hire.

Load, validate, normalize, reconcile, and report client investment data using Excel, SQL, VBA, and Python. Work with development teams to automate and improve onboarding, apply accounting and securities knowledge, lead improvements, and coordinate complex activities within an agile environment.

Lead product and marketing analytics for Morningstar's Individual Investor products by building KPI dashboards, automating reporting, consolidating data sources, and conducting cohort, LTV, and retention analyses. Develop financial forecasting models, evaluate pricing and acquisition impacts, implement tracking with GTM and SQL pipelines, and partner with engineering to maintain centralized data infrastructure and ensure data accuracy to inform growth and product decisions.

Lead end-to-end people analytics projects, translate business priorities into measurable analytics strategies, build executive-ready visualizations and measurement frameworks, partner with HR and product teams to operationalize insights, automate analytics workflows, and upskill partners on data literacy and AI-assisted analytics.

Maintain and automate marketing performance reporting, build actionable Power BI dashboards, query and integrate data from ad platforms and CRMs, detect anomalies, and provide insights on CTR, CVR, ROAS, attribution, and testing to support paid media and SEO teams.

Designs, builds, deploys and supports enterprise data environments and pipelines across cloud and on-prem systems. Collaborates on infrastructure, monitoring, capacity planning, security, governance, disaster recovery, and integration with enterprise systems. Provides technical leadership for data management, testing, optimization, and operational support to meet SLAs.

Lead and scale the People Analytics function by developing global strategy, mentoring the team, partnering with HR and business leaders, and delivering actionable insights. Build reports, dashboards, and prototypes using SQL, Tableau, Workday, and other tools; prioritize rapid iteration, automation, and self-service analytics to influence workforce decisions and drive company-wide change.

Design and maintain predictive dashboards and forecasting models to track pipeline health, win rates, and GTM performance. Build SQL pipelines, conduct statistical and scenario analysis, partner with Sales/Marketing/Finance, and translate insights into actionable recommendations to improve revenue forecasting and operations.