Top Analytics Jobs

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.

Complete a 10-week analytics project by gathering business requirements, querying and cleaning enterprise data, analyzing trends, building dashboards and reports, documenting metrics and assumptions, and presenting insights. The intern will collaborate with analysts, engineers, stakeholders, and peers while communicating recommendations through concise narratives and presentations.

Own end-to-end location and market analytics projects, including site rankings, market comparisons, cost models, commute studies, labor assessments, and portfolio analyses. Scope work with advisors, build and quality-assure models, create Tableau and PowerPoint recommendations, support business pursuits, and present findings to executives. Develop reusable Alteryx and Tableau workflows, apply AI tools, steward data quality, evaluate data sources, and mentor analysts and interns in a remote environment.

Supports financial data gathering, analysis, reporting, dashboard creation, process documentation, automation, and continuous improvement initiatives. The intern will use tools such as Excel, Tableau, Power BI, Alteryx, and Python to transform data into actionable insights, identify trends, streamline manual tasks, and contribute to presentations. The role involves collaboration with finance analysts and cross-functional business partners while developing analytical, communication, and financial systems skills.

Analyze People data to identify trends and actionable leadership insights, streamline reporting, build spreadsheets and dashboards, and prototype AI-driven automations for reports, anomaly detection, and data-quality checks. The intern will partner with stakeholders to improve self-service reporting and create executive presentations that communicate findings clearly. This is a 12-week summer 2027 internship.

Supports 24/7 grid operations by analyzing scheduling and workforce data, building Power BI and Excel dashboards, identifying trends and risks with SQL and Python, and contributing to process improvements, system migrations, training design, and monthly operations metrics. Presents findings to Control Room leadership and cross-functional stakeholders.

Supports audience intelligence through data mining, research, quantitative analysis, predictive analytics, automation, data visualization, and stakeholder presentations. The intern will aggregate and analyze datasets, develop actionable insights for organizational decisions, monitor product performance, and lead a project resulting in a portfolio-ready deliverable. The role requires SQL knowledge, analytical ability, strong communication, attention to detail, and independent work.

Leads and scales the company-wide product analytics function, managing embedded analytics teams and aligning analytics roadmaps with business and P&L goals. Establishes standards for experimentation, data modeling, reporting, and data integrity; reviews complex analyses and experimental designs; and delivers executive-level insights. The role manages analytics leaders, develops talent, prioritizes high-impact initiatives, and remains hands-on with SQL, Python, root-cause analysis, dashboards, and advanced experimentation.

Leads product analytics initiatives by structuring ambiguous business problems, developing analytics frameworks, translating insights into business recommendations, and prioritizing roadmaps based on value, feasibility, and risk. Partners with business stakeholders and Data Science teams, reviews analytical methods and outputs, communicates executive-ready recommendations, manages delivery risks, and measures business impact. The role requires strong stakeholder management, strategy consulting experience, SQL and Python proficiency, and project leadership.

Analyze healthcare, financial, and utilization data to identify inefficiencies, support data-driven decisions, maintain dashboards, build analytical models, communicate insights, and monitor improvement initiatives across the organization.

Own client relationships and analytics strategy across digital measurement and GEO initiatives. Architect, audit, and QA GA4 and Adobe Analytics implementations; develop measurement frameworks, dashboards, experimentation plans, and causal analyses. Present insights to executive stakeholders, manage analytics workstreams, mentor teammates, and build AI-assisted workflows, automations, and scalable systems. The role combines traditional analytics with measurement of AI-powered search visibility and customer behavior.

Develops and delivers market risk metrics, analytics, regulatory reporting, and risk insights. Builds scalable workflows and procedures for risk analytics production, validates data quality and completeness, and supports financial and non-financial risk reporting. The role requires quantitative analysis, financial markets knowledge, Python and SQL programming for ETL and data analysis, and experience with business intelligence and visualization tools.

Own customer analytics and data infrastructure across Shopify, CDP, CRM, and cloud data warehouse systems. Build segmentation, dashboards, retention and lifetime-value analyses, and predictive models using SQL and Python. Maintain data quality, identity resolution, governance, and audience activation while partnering with marketing, ecommerce, merchandising, and CRM teams. Present actionable customer insights and recommendations to technical and executive stakeholders.

Summer data and analytics intern supporting data management, business analytics, machine learning, research, database and spreadsheet maintenance, and technical or operational projects. The intern collaborates with experienced analytics professionals, gathers data, contributes to team initiatives, completes training, and presents program learnings. The role requires strong communication, organization, problem-solving, adaptability, and proficiency with office, Google, Oracle, and other computerized tools.

Summer data and analytics internship providing hands-on exposure to data management, technical architecture, machine learning, and business analytics. The intern will research and gather data, support databases and analytical tools, collaborate on projects, assist with strategies, and complete assigned administrative and technical tasks under mentorship. The role requires strong communication, teamwork, organization, problem-solving, and willingness to learn.

Leads marketing analytics and end-to-end measurement across growth marketing, including dashboards, pipeline attribution, ROI, CAC, LTV, forecasting, budget analysis, experimentation, and data quality. Partners with Marketing, Finance, RevOps, and BI teams to connect spend with pipeline and revenue. Uses AI, machine learning, predictive modeling, and automation to improve reporting, attribution accuracy, insight generation, and investment decisions.

Lead marketplace and product analytics for Lyft’s Central Market Management organization. Develop analytical frameworks, business models, and recommendations that influence strategy, product roadmaps, and growth. Analyze trends, identify opportunities, communicate insights to senior leaders, and partner with Data Science, Product, Engineering, and other teams. The role requires strong SQL, data analysis, strategic problem-solving, storytelling, and cross-functional influence.

Leads Claims data and analytics strategy, technology enablement, governance, data quality, advanced analytics, AI adoption, and operational insights. Oversees a large multidisciplinary organization, develops scalable data products, partners with Claims, Technology, and Finance, manages risks and budgets, and builds high-performing teams. The role transforms claims operations through trusted data, actionable reporting, automation, and measurable business outcomes.

Leads growth and business analytics across acquisition, funnel performance, retention, churn, pricing, and customer lifetime value. Builds forecasts, dashboards, reporting frameworks, and analytical processes; identifies growth opportunities and performance gaps; supports planning and budgeting; and translates complex data into strategic recommendations. Partners with Growth, Marketing, Finance, Product, and external stakeholders while managing and mentoring an analytics team.

Conducts advanced research and statistical analysis of Medicaid and CHIP data to identify trends, build predictive models, improve operations, and inform health policy. Develops analytic products, dashboards, reports, visualizations, and technical deliverables while integrating qualitative research and UX practices. Collaborates with analysts, data scientists, clients, and technical teams in an agile environment, independently leading research projects and translating complex findings for diverse stakeholders.

Leads Autodesk’s global marketing data strategy and analytics organization, establishing measurement, attribution, experimentation, marketing mix modeling, predictive analytics, and AI-enabled decisioning capabilities. Defines marketing data foundations, governance, taxonomies, and identity frameworks while partnering with Marketing, Sales, Data Science, Engineering, and AI/ML teams. Translates complex analysis into executive recommendations that improve marketing effectiveness, investment allocation, customer outcomes, and commercial performance. Manages and develops a global team of data strategists and analysts.

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.