Top Analytics Jobs

Leads marketing campaign measurement and analytics to evaluate campaign effectiveness, optimize performance, and maximize ROMI. Uses SQL, SAS, visualization tools, and advanced analytics to deliver actionable recommendations, present insights to senior stakeholders, drive adoption of measurement tools, manage projects, and mentor team members. Partners cross-functionally with marketing, analytics, and finance teams across geographies.

Lead GTM analytics across performance measurement, channel economics, data governance, forecasting, planning, and executive reporting. Own metric definitions, data standards, analytical priorities, and business requirements while partnering with Marketing, Data Science, Finance, RevOps, and Engineering. Analyze funnel, attribution, CAC, payback, conversion, retention, pipeline, and territory performance, translating findings into investment recommendations and strategic decisions for senior leadership.

Lead North American supply chain analytics by evaluating performance against forecasts and operating plans. Apply optimization, simulation, statistical analysis, data mining, and AI-enabled tools to improve reporting, forecasting, and decision-making. Conduct root cause analysis, drive continuous improvement, and translate complex operational and financial data into recommendations for senior and C-suite leaders. Partner cross-functionally to automate analytics and strengthen supply chain planning and performance.

The Product Analytics Manager analyzes product, merchandising, and assortment performance across channels and markets. Responsibilities include developing lifecycle models, evaluating newness and assortment productivity, creating analytical frameworks and reporting tools, maintaining an ETL-enabled analytics sandbox, improving product data quality, and automating recurring analyses. The role partners with merchandising, planning, strategy, data engineering, business intelligence, and analytics teams to translate data into commercially relevant decisions.

Analyze SKU counts, item-level profitability, design productivity, and pricing across toy products. Build SQL queries and Sigma dashboards, identify margin risks and SKU rationalization opportunities, support new item planning, and communicate actionable insights to nontechnical Brand Operations and marketing stakeholders.

Supports provider business development through bundled-payment pricing analytics, financial modeling, and strategic analysis. Builds and refines analytical tools and datasets, develops models for new healthcare bundles, supports provider negotiations, and partners with data science and engineering teams on optimization and data infrastructure. Requires healthcare knowledge, quantitative skills, cross-functional collaboration, and the ability to manage multiple priorities in a fast-paced remote startup environment.

Leads fraud analytics and fraud-vendor solution implementation across the enterprise. Identifies emerging fraud patterns, develops detection models, metrics, rules, scenarios, and controls, and applies statistical and data-mining techniques to mitigate risk. Partners with Fraud, Product, Technology, and business leaders, supports strategic initiatives, presents actionable insights, manages implementation, and serves as a subject matter expert in fraud data, modeling, governance, and criminal risk mitigation.

Leads advanced analytics strategy and delivery, including data preparation, statistical and machine learning model development, experimentation, validation, pricing analysis, and presentation of actionable insights. Partners with business stakeholders to identify opportunities, ensures analytical quality and automation, and builds and manages a high-performing analytics team. Requires leadership experience, advanced quantitative methods, large-scale database work, and proficiency with SQL, SAS, R, Python, and related tools.

Performs advanced SQL analysis of large datasets to evaluate marketing ROI, campaign and channel performance, customer behavior, attribution, retention, and conversion. Develops KPIs, dashboards, business cases, experiments, and analytical recommendations while identifying data quality issues. Partners with Marketing, Analytics, Data Engineering, Product, and Technology teams and communicates findings to technical and business stakeholders.

The posting identifies an Associate Director role focused on process data analytics at a cell and gene therapy company, but provides no specific responsibilities, qualifications, technologies, travel requirements, or clearance requirements.

Leads the commercial analytics function, developing advanced analytics frameworks, performance metrics, dashboards, forecasts, and strategic insights. Partners with senior leadership and cross-functional teams to optimize sales performance, resource allocation, commercial strategy, and operational efficiency. Oversees data quality, competitive analysis, sales compensation planning, analytical tools, and direct-report performance while promoting data-driven decision-making across the organization.

Analyze and transform complex audience and marketing data into actionable insights. Responsibilities include developing audience strategies, evaluating acquisition opportunities, building testing frameworks, writing advanced SQL, maintaining ETL workflows, conducting analyses, visualizing results, and presenting findings to technical and non-technical stakeholders. The role collaborates cross-functionally to support growth marketing and optimize channel performance.

Provides advanced decision science and analytics support across life, health, and annuity insurance. Gathers, transforms, and analyzes disparate data using statistical and quantitative methods; develops insight-to-action recommendations, visualizations, and executive presentations; documents methodologies and validation; and partners with product, underwriting, sales, and leadership teams to influence strategy and business outcomes.

The Senior Associate, Analytics develops and manages digital media analytics projects, structures data and queries, builds spreadsheets and visualizations, and translates findings into clear client recommendations. The role requires project ownership from planning through delivery, stakeholder communication, and experience with media buying platforms, ad servers, SEO, demand-side platforms, market mix modeling, Excel, SQL, and visualization tools.

Ten-week Business Analytics internship analyzing and interpreting data to support decision-making across risk, trading, accounting, operations, and business development. The intern will use Python, SQL, and Power BI to improve data quality, streamline processes, build reports, propose analytics, and support reporting infrastructure while collaborating with cross-functional teams.

Analyze and transform complex data into targeted audiences and actionable marketing insights. Responsibilities include audience strategy, acquisition opportunity analysis, testing frameworks, advanced SQL querying, ETL monitoring and troubleshooting, data visualization, and stakeholder presentations. The role collaborates cross-functionally to deliver data-driven solutions aligned with client objectives and performance targets.

Analyzes funnel and loan performance metrics, builds automated SQL and Python reporting and alerts, evaluates trends and A/B tests, and recommends underwriting and product optimization strategies. Collaborates with cross-functional teams to implement changes, monitor releases, and assess impacts.

Supports the Marketing Analytics team by monitoring funnel metrics, analyzing performance with SQL and Python, identifying drop-off drivers, and communicating recommendations. Maintains dbt data models in Snowflake, enhances Periscope dashboards, and partners with Marketing, Risk, and Engineering on strategy changes, releases, testing, and impact analysis.

Creates data analysis tools and models to identify business issues, support strategic initiatives, and drive data-informed decisions. Delivers KPI reporting, competitive and macroeconomic research, exploratory and statistical analyses, and actionable business insights. Collaborates with Business Intelligence teams to automate reporting models, communicates findings to cross-functional stakeholders, and recommends opportunities to improve company performance.

Lead customized analytics engagements for hospital clients using Vizient data and tools. Conduct comparative analyses across operations, quality, costs, productivity, supply use, and facility performance; identify benchmarks and actionable opportunities; develop accurate reports; and present insights to clients and executives. Manage requirements and stakeholder meetings, support adoption of analytics tools, guide analytical approaches, and contribute to mentoring and team best practices.

Ten-week hybrid summer internship focused on data, analytics, and automation within a community bank. Interns receive hands-on experience, mentorship, coaching, onboarding, and opportunities to contribute to meaningful business work and present a team project to senior leadership. Candidates should demonstrate communication, organization, initiative, teamwork, problem-solving, and proficiency with Microsoft Office tools.

Own marketing analytics and measurement across campaigns, paid media, partners, field marketing, and demand generation. Build attribution models, forecasts, scenario analyses, Tableau dashboards, experiments, and predictive models. Translate data into strategic recommendations and budget decisions for marketing leaders, maintain data quality across martech systems, partner cross-functionally on performance reporting, and mentor junior analysts while establishing analytics best practices.

Establish and lead the People Analytics function, building trusted workforce data foundations, governance, privacy standards, analytical products, workforce planning capabilities, and AI-enabled decision support. Partner across HR, Finance, IT, and business leadership to deliver executive insights, improve workforce decisions, and scale analytics operations. Recruit and develop the analytics team while ensuring responsible data use, global-local compliance, stakeholder adoption, and alignment with organizational priorities.

Own marketing analytics reporting and business reviews supporting go-to-market investment decisions. Translate business questions into actionable analyses, partner with marketing, sales, finance, product, customer success, and analytics engineering teams, and improve dashboards and reporting tools. Analyze campaign performance and business trends, contribute to data modeling, and independently manage analytics workstreams using SQL, Python, BigQuery, dbt, and Looker.

Leads growth analytics strategy and a multidisciplinary technical team spanning data science, engineering, business intelligence, and marketing analytics operations. Owns marketing-to-sales measurement, attribution, funnel intelligence, data strategy, MarTech integrations, AI-enabled analytics, and revenue optimization. Partners with marketing, sales, finance, and go-to-market leaders to improve demand generation, pipeline conversion, and sales outcomes while guiding technical standards, team development, vendor relationships, and analytics delivery.