Top Analytics Jobs

Leads marketing measurement across five business segments, owning attribution models, incrementality and brand-lift testing, CAC/LTV analysis, dashboards, and revenue-grounded reporting. Partners with Salesforce, data engineering, Finance, RevOps, agencies, and marketing leaders to improve data quality, conversion tracking, warehouse modeling, and channel performance insights. Requires advanced marketing analytics experience, SQL, cloud data warehouse expertise, Salesforce fluency, and strong communication skills.

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.

Owns end-to-end product analytics for member outreach, scheduling, appointment completion, and clinician capacity. Designs experiments and causal analyses, builds dbt analytics models, partners on predictive modeling and fairness assessment, develops Power BI reporting, and creates ROI and capacity models. Advises senior leadership, establishes analytical standards, mentors analysts, and ensures compliance with TCPA, HIPAA, and member contact preferences.

Leads customer-facing healthcare analytics for medical claims, economics, health plan performance, and cost mitigation. Advises account teams and clients by translating complex data into strategic recommendations, oversees analytics priorities and resources, collaborates with clinical consultants, and supports retention and growth objectives. Requires strong healthcare industry knowledge, medical economics expertise, relationship management, communication, project management, and advanced analytical skills.

The role involves generating insights from large datasets, leading behavioral experiments, and managing collaborations to translate research into practice for health promotion.

Deliver dashboards, data visualizations, analytics products, and automated reporting workflows for DHS policy leadership. Clean and transform data using Python or R, integrate multiple systems, document processes, gather stakeholder requirements, validate metrics, and present findings to nontechnical audiences. The role also supports analytics governance, standards, and scalable decision-making frameworks using Tableau, Power BI, Power Automate, and related cloud analytics tools.

Leads finance and business analytics initiatives, delivering actionable insights and decision support while advancing AI-enhanced analytics capabilities. Develops reusable analytical frameworks for conversational analytics, translates business problems into scalable data solutions, and collaborates with Finance and Technology teams. Connects strategy, operational context, and data to improve decision-making, communicates complex findings clearly, and mentors less experienced associates.

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.

Leads the Digital Analytics team, owning measurement strategy, tagging, data governance, dashboards, data products, and advanced analysis across digital and non-digital journeys. Partners with Product, Digital, Marketing, Engineering, Privacy, and Risk to support experimentation, personalisation, optimisation, and compliant measurement. Coaches analysts, promotes self-service analytics, improves data storytelling, and evolves analytics tooling and practices.

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 the statewide campaign’s data and analytics strategy for GOTV. Oversees voter data, campaign systems, data standards, dashboards, reporting, targeting, modeling, and Election Day monitoring. Provides actionable analysis to leadership and organizing teams, coordinates with campaigns and partner organizations, manages complex data programs, trains staff, and ensures systems support fast, accurate decision-making during Early Vote and Election Day.

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.

The role involves analyzing complex datasets to provide insights, leading analytics projects, ensuring data quality, and mentoring peers. It requires expertise in advanced analytics, machine learning, and data visualization, driving automation for efficiency.

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.

Develop and productionize underwriting analytics, predictive models, and decision tools using statistical and machine learning techniques. Partner with underwriting, broking, actuarial, and portfolio teams to perform feature engineering, exploratory analysis, model validation, visualization, and monitoring to support risk segmentation, portfolio insights, and underwriting optimization.

Develop and productionize analytical models and data products to support underwriting and portfolio management. Apply statistical and machine learning methods to insurance datasets, perform exploratory analysis, feature engineering, validation, and create visualizations and presentations for technical and business stakeholders. Partner with underwriting, broking, actuarial, and portfolio teams to deliver scalable underwriting analytics and monitoring solutions.

Lead advanced statistical and machine learning analyses on large workforce datasets to support pay equity, workforce planning, and talent analytics. Clean and validate data, develop models, translate results into client-ready insights, present to stakeholders including executives, mentor junior analysts, and help build new analytical tools and frameworks.

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.

Participate in a multi-week training then rotate across analytics teams (quantitative modeling, model risk, market risk, fraud, commercial analytics, client/employee experience, credit portfolio). Perform data analysis, develop predictive models, produce reports and visualizations, communicate insights to senior stakeholders, conduct market research, and support financial and regulatory reporting.

Lead prospect development and analytics for fundraising: design prospect scoring and predictive models, manage portfolios and pipeline, provide research and data-driven guidance to fundraisers, oversee CRM data integrity and a small team to optimize major gift strategies.

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.