Top Analytics Jobs

Analyzes digital product performance across web properties using Adobe Analytics, Google Analytics, tagging systems, statistical modeling, and data visualization. Develops measurement requirements, tracking specifications, dashboards, and actionable insights for product and marketing teams. Troubleshoots tags and data collection, supports experimentation and quality assurance, establishes analytics standards, and mentors analysts while communicating findings to stakeholders.

Lead Product Analytics strategy, team development, reporting, experimentation, data quality, and analytics platforms. Build an AI-native operating system that automates analytics workflows while maintaining governance and rigor. Own Amplitude instrumentation, KPI definitions, data models, pipelines, and product measurement. Partner with product and business leaders to guide decisions through diagnostic analysis, causal inference, launch measurement, and trusted reporting across crypto and trading products.

Lead end-to-end analytics for Netflix Ads demand, including media planning and campaign management tools, machine learning models, and agentic solutions. Partner with scientists, product managers, engineers, and data engineering to develop metrics, reliable analytics data, insights, and recommendations. Independently identify risks and opportunities, shape product roadmaps, and communicate findings to technical and non-technical stakeholders.

Uses SQL, Snowflake, Tableau, data modeling, and analytical techniques to identify trends, improve business processes, and deliver actionable insights. Builds data tools, maintains metadata, validates project outputs, creates dashboards and presentations, and communicates recommendations to stakeholders across marketing, sales, and supply chain. Manages multiple projects and may guide junior personnel.

Leads marketing measurement, forecasting, attribution, media mix modeling, and LTV/CAC analysis across D2C channels. Builds analytical infrastructure, evaluates channel performance, supports budget allocation, and conducts cohort and retention analysis. Partners with executives, marketing, finance, product, and data engineering to translate complex findings into actionable recommendations. The role also establishes reporting for new channels, supports scenario planning, and communicates insights that guide growth and investment decisions.

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.

Analyzes complex small-business card portfolio and customer behavior data to generate insights for marketing, finance, product, and risk decisions. Builds executive reporting and dashboards, applies statistical and data-mining methods, advises stakeholders, improves data quality and analytics processes, and pilots generative AI solutions to automate workflows and enhance performance measurement.

Supports quantitative analysis of historical market data, portfolios, and margin requirements; develops reports and monitoring tools using Python, Power BI, and related technologies; documents risk-management processes, monitors exceptions, and assists with clearinghouse risk initiatives.

Leads complex education research and analytics initiatives from problem definition through data validation, statistical modeling, synthesis, and stakeholder presentation. Develops metrics, predictive models, forecasts, dashboards, and actionable recommendations for district leaders. Applies experimental and quasi-experimental methods, ensures data quality and governance, reviews analytical work, and builds organizational analytical capacity through standards, mentoring, and methodological guidance.

Own marketing channel performance tracking, reporting, experimentation, dashboards, forecasting, and LTV analysis. Develop measurement frameworks, identify data issues, and translate complex findings into actionable recommendations for Marketing, Growth, Product, and Finance stakeholders. The role requires strong SQL, BI dashboarding, marketing measurement, experimentation knowledge, and effective analytical communication, with AI tools used to accelerate reporting and analysis.

Develop and support predictive models for commercial insurance pricing, underwriting, loss costs, marketing response, conversion, and fraud. Responsibilities include data preparation, variable engineering, statistical analysis, model validation, deployment, monitoring, reporting, data integration, governance documentation, and business consultation. The role requires collaboration with internal analytics and data services teams to improve decision-making and analytical solutions.

Leads marketing, digital, loyalty, and consumer insights analytics teams; develops customer, campaign, loyalty, and marketplace insights; oversees research, experimentation, measurement, dashboards, and executive reporting. Partners with cross-functional leaders to influence strategy, improve customer acquisition and retention, and optimize investments. Manages analysts, research agencies, analytics vendors, and collaboration with data engineering, data science, and technology teams.

Leads multiple business analytics teams, translating business strategies into analytics objectives and priorities. Oversees data quality, cleaning, validation, anomaly detection, integrated data models, and scalable reporting tools. Resolves complex data issues, develops KPIs, manages analytics programs and projects, and mentors analysts while aligning work with organizational growth and profitability goals.

Leads enterprise analytics initiatives from problem framing through delivery, partnering with senior stakeholders to create actionable insights. Designs semantic models, metric layers, reporting frameworks, and enterprise dashboards integrating CRM, ERP, marketing, and other data sources. Establishes analytics standards, validation practices, documentation, and governance while mentoring analysts and enabling self-service users. The role requires advanced cloud data warehouse, Python, data modeling, software engineering, and stakeholder communication skills.

Analyzes operational and program data, develops dashboards and reports, and translates findings into actionable insights. Configures and maintains Smartsheet forms, workflows, automations, reports, and dashboards while supporting data quality, governance, documentation, and system improvements. Collaborates with cross-functional teams, provides user training, troubleshoots reporting solutions, and communicates technical concepts and analytical results to nontechnical stakeholders.

Analyze large datasets to uncover actionable insights for Brokerage Client Services. Support data quality, governance, management, visualization, preparation, and diagnostic reporting while building trust in data products. Collaborate across multiple projects, present findings to stakeholders, identify anomalies, document processes, and evaluate tools and approaches that improve associate, leader, and customer experiences.

Leads subscription analytics across acquisition, engagement, retention, churn, win-back, and lifetime value. Defines subscriber metrics and governance standards, conducts advanced SQL analysis, and translates consumer and revenue data into strategic recommendations for marketing, content, product, pricing, and finance. Manages two analytics leaders, partners with data engineering and cross-functional teams, and presents executive-ready insights supporting FOX Nation and future subscription services.

Own an analytics project for go-to-market teams by combining CRM, campaign, and account data with SQL and Python. Build reusable data models, define acquisition and pipeline metrics, investigate data quality issues, add validation checks, and create dashboards and analyses. Communicate findings, recommendations, assumptions, and limitations to stakeholders while documenting reproducible workflows.

Manage card analytics across originations, customer service, and collections. Own contact center forecasting and capacity planning, identify inquiry-reduction opportunities, develop reports and dashboards, support risk controls, optimize expenses, and create analytical frameworks for operational efficiency. Partner with product and operations leaders, synthesize insights, and manage 2–4 contractors.

Build Polymarket’s CX data and analytics function, defining service and customer experience metrics, creating dbt models and reporting, and delivering actionable insights to leadership. Lead Analytics Engineers, partner with central data engineering on pipelines and infrastructure, and develop measurement frameworks for AI automation. Apply forecasting and modeling to staffing, contact drivers, and AI deflection while communicating recommendations to executive audiences.

Supports finance analytics by extracting and preparing data with SQL, maintaining reporting and reconciliation scripts, checking data quality, and explaining findings. Builds dashboards and data marts, researches unit economics and plan-versus-actual performance, and collaborates with finance, commercial, marketing, and product stakeholders. The role requires BI tools, Excel, business metrics knowledge, and strong analytical communication.

Develops and maintains digital platforms, analytical models, dashboards, and workflows supporting FCC technical services, commercial activities, catalyst optimization, customer monitoring, and performance tracking. Collaborates with IT, data engineering, R&D, technical, and commercial teams to integrate FCC expertise with scalable digital systems. Provides data-backed customer assessments, standardizes global processes, and trains teams on digital tools and analytical methods.

Leads and develops a technical analytics team supporting customer solutions, marketing, digital channels, products, services, voice of the customer, and contact center operations. Manages analytics delivery, team capacity, governance, quality, technical standards, and stakeholder partnerships. Translates complex findings into actionable recommendations and ensures solutions are reliable, scalable, adopted, and aligned with business outcomes. Builds analytics capabilities, coaches talent, and drives continuous improvement across platforms, architecture, data quality, and technical roadmaps.

Analyze large-scale Human Capital and workforce datasets, develop predictive models, automate data workflows, and build executive HR dashboards using SQL, scripting languages, Tableau, or Power BI. Integrate and validate data from multiple systems, apply AI/ML capabilities, and communicate actionable findings to senior leaders and nontechnical stakeholders. The role requires an active TS/SCI clearance and supports federal workforce analytics and decision-making.

Supports pricing data management, analysis, reporting, invoicing, and research for North American loan and lease products. Gathers and analyzes business data, evaluates operational impacts, develops findings, and presents results to stakeholders. The internship also provides project experience, networking, career development, and exposure to AI-enabled workflows in a hybrid environment.