Top Analytics Jobs

Develop and validate credit risk and marketing analytics models (scorecards, behavior, collections, targeting). Document requirements and model details, perform data preparation, variable selection/reduction, and validation (KS/Lift/PSI). Apply ML techniques and support online/digital analytics and text mining.

Monitor KPIs and business health across customers, segments, and systems; identify anomalies and investigate root causes across data, operations, and product changes. Build dashboards, alerts, and monitoring systems, collaborate with Engineering, Operations, and Product on issue triage, and create documentation and playbooks that improve response times and data quality practices.

Own marketing analytics, attribution modeling, full-funnel measurement, forecasting, experimentation, and ROI optimization across campaigns, partners, and field marketing. Build Tableau dashboards, ensure martech data quality, implement AI/ML predictive capabilities, and translate complex data into strategic recommendations for marketing leadership. Partner cross-functionally on performance narratives, QBRs, and budget planning while mentoring junior analysts and establishing analytics best practices.

Leads advanced Revenue Growth Management analytics, complex business problem solving, next-generation capability development, AI use-case implementation, strategic projects, and organizational training. Partners with Advanced Analytics and Data Science teams to build scalable tools, translate RGM methodologies into solutions, and generate actionable insights across brand, trade, pricing, and commercial initiatives. Manages three direct reports and supports enterprise-wide analytical capability building.

Supports Revenue Growth Management through ad hoc analysis, pricing and promotion projects, analytical tool development, and maintenance. Builds Excel and Power BI capabilities, contributes to Next Gen RGM solutions, and supports AI integration into business processes. Partners with brand and commercial teams to generate actionable insights, improve efficiency, and inform strategic decisions.

Own supplier-side pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build predictive models, data models, dashboards, cohort analyses, and A/B tests using SQL, Snowflake, dbt, and Looker. Partner with product, operations, engineering, sales, finance, and leadership to identify pricing and revenue opportunities, improve supplier retention, and translate marketplace insights into measurable business impact.

Own supplier-side pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build scoring models, predictive machine learning models, dashboards, category and keyword data models, cohort analyses, and A/B tests. Partner with general management, product, operations, engineering, sales, finance, and customer success to translate marketplace insights into pricing, revenue, retention, and supplier engagement decisions.

Supports the creation, enhancement, and maintenance of custom business reports and data models. Extracts, manipulates, and visualizes data using multiple platforms; collaborates with business partners to identify reporting and efficiency opportunities; and presents findings and recommendations to leadership. The intern also completes a special project during the three-month summer internship.

Leads analytics teams delivering digital media measurement, testing strategies, campaign analysis, dashboards, and actionable insights for client accounts. Develops cross-channel measurement frameworks, evaluates marketing performance against KPIs and ROI, communicates findings to clients and stakeholders, and recommends investment and strategy optimizations. The role also develops analytics talent and ensures analytics integration across agency production processes.

Lead end-to-end research and production pipelines for systematic trading strategies. Conduct alpha research using statistical and ML techniques on high-frequency tick and order-book data, build Monte Carlo simulations and real-time risk monitoring, design position-sizing and stress-testing frameworks, mentor junior researchers, and collaborate with trading and infrastructure teams to deploy production-grade models and risk controls.

Perform end-to-end analytical projects: source, clean, analyze, and synthesize data to answer commercial and operational questions. Communicate findings to investment teams and portfolio leadership, partner with data science and engineering, build reusable tools, and apply GenAI to accelerate workflows.

The Senior Data Scientist will analyze product data, design and manage experiments, define KPIs, and collaborate with cross-functional teams to improve product performance and user experience.

The Senior Data Scientist will analyze product data, design A/B tests, define KPIs, and collaborate with teams to improve product performance and user experience.

Analyze audience impressions and research to create compelling sales presentations, guide promotions, and support newsroom viewership analysis. Provide research-driven strategic guidance across sales, programming, and creative teams using Nielsen and other media tools.

Design, test and implement consumer credit underwriting and pricing strategies using historical data. Extract and analyze data, build regression and machine learning models, employ decision-tree tools, optimize strategies across the credit lifecycle, ensure data quality, automate reporting, and present insights to management.

Lead pricing strategy analysis for merchant business: design and implement pricing strategies, build and validate financial and analytical models, run scenario analyses, develop forecasts, mine large datasets, and collaborate with senior leaders and business partners to drive strategic initiatives.

Use data analytics to identify and reduce operational risk across EP & TBM. Analyze large datasets, perform root cause analysis, recommend scalable process improvements, build dashboards and visualizations, measure initiative effectiveness, automate reporting, and partner with engineering, product, and risk teams to prioritize and implement risk reduction.

Use SQL and Databricks to extract, clean, and analyze data; build statistical and machine learning models; create Power BI dashboards and forecasts; run A/B tests; present insights and collaborate with cross-functional teams to drive data-driven decisions.

Support the Planning Analytics team by collecting, cleaning, and preprocessing data; performing exploratory analysis to identify trends; creating and maintaining dashboards and reports; monitoring data quality; and collaborating with team members to resolve data issues while learning analytics techniques.

Entry-level data analytics role in PMGs Graduate Leadership Program. Participate in an 8-week immersive training, use PMGs Alli platform and SQL to analyze marketing datasets, build visualizations, leverage generative AI tools, and deliver actionable insights for client campaigns while rotating across cross-functional teams.

Paid 11-week, in-person summer internship contributing to a real healthcare analytics project. Interns will analyze healthcare data, build visualizations or tools, surface actionable insights, and present findings while collaborating with analysts and a dedicated manager on the Jacksonville campus.

Provide quantitative analytics and reporting for private credit portfolios (Direct Lending, Asset-Based Finance, Structured Credit). Build and automate models, dashboards, and data workflows; validate and reconcile investment data; support underwriting, portfolio monitoring, risk oversight, and senior reporting; collaborate with investment, risk, finance, operations, and technology teams.

Analyze syndicated and customer research data to identify assortment and white-space opportunities that drive traffic and sales. Create standardized reports, support merchant decision-making, prepare senior-leader presentations, assist customer research and training, and recommend process improvements to increase analytics efficiency.

Analyze syndicated and customer research data to identify assortment and white-space opportunities that drive traffic and sales. Produce standardized reports, support merchandising strategies, prepare senior leader presentations, lead training on data interpretation, and recommend process improvements to enhance team efficiency.

As an Analyst, you'll execute VPP and demand response programs, optimize asset performance, and develop market strategies in energy storage.