Top Analytics Jobs

Leads enterprise portfolio performance diagnostics for North American retail, integrating syndicated market, retailer, financial, competitive, and consumer data. Translates complex analyses into executive-ready narratives, recommendations, investor and board materials, and strategic insights on share, growth, margin, category, brand, and competitive performance. Partners with Finance, Investor Relations, Corporate Strategy, Insights & Analytics, and operating units while mentoring analytics professionals.

Partners with product, business, content operations, and data teams to define measurement frameworks, analyze media production workflows, build prototypes and dashboards, strengthen data models, and provide data-driven insights for strategic decisions. The role focuses on measuring GenAI-enabled production improvements, operational efficiency, creative flexibility, and innovation impact while influencing stakeholders and leadership.

Develops client analytics for pharmaceutical manufacturers by analyzing prescription, patient journey, and program performance data. Builds KPIs, dashboards, scorecards, funnels, cohorts, and trend analyses using SQL, data modeling, and Tableau. Translates complex findings into actionable client recommendations, supports business reviews, partners with account management and data engineering, improves data quality, and automates recurring reporting with AI-enabled analytics tools.

Drive fraud strategy, policy, and analytics for money-movement fraud. Build and manage fraud rules, analyze moderately complex data sets using SQL/Python/SAS and BI tools, create predictive models and visualizations, consult stakeholders, and ensure fraud risk is identified and controlled across payment channels.

Supports data structure development, data intake, data cleaning, KPI analysis, Power BI reporting, process improvement, and operational decision-making. Uses Python, SQL, Excel, and related analytics tools to transform multi-source data into analysis-ready datasets. Documents data lineage, transformation logic, quality controls, and reporting processes while collaborating with global stakeholders.

Ten-week hybrid internship in a product organization, offering exposure to product development, business intelligence, distribution analytics, pricing, and state product management. Interns complete challenging assignments, participate in a capstone project, develop corporate competencies, and receive coaching and mentoring. Candidates must be high-achieving students graduating December 2027 through June 2028 with a relevant bachelor’s degree, at least a 3.0 GPA, analytical ability, leadership experience, strong communication, and teamwork skills.

Performs advanced HR data reporting, statistical analysis, predictive modeling, and visualization using Workday Prism, Power BI, Alteryx, and Tableau. Maintains HR datasets and metrics, identifies trends, evaluates initiatives, develops actionable recommendations, and advises business stakeholders. Supports cost savings, process efficiency, data integrity, and HR reporting requirements while managing multiple projects and influencing leaders through analytics.

Build user-facing reports, data models, and pipelines in BigQuery; apply statistical analysis to generate insights; troubleshoot analytics stack issues; review schemas and code; collaborate with product and engineering teams; and use AI agents to automate workflows and surface insights. The role requires strong SQL, BigQuery, Looker, Python, data warehousing, statistics, communication, and product judgment.

As a Sr Associate in Fraud Analytics, you'll analyze data, develop fraud rules, implement models, and collaborate with stakeholders to mitigate fraud losses.

Analyze and organize healthcare supply purchase and contracting data to identify gaps, validate accuracy, apply contract and benchmark information, and produce customized client reporting. Translate findings into clear, data-driven insights, support purchasing and contracting decisions, manage project schedules and data requests, and collaborate with internal and external partners while developing category and industry expertise.

Lead analytical support for performance marketing by evaluating CAC, ROAS, LTV, conversion, retention, and acquisition efficiency. Conduct deep-dive analyses, experimentation, incrementality studies, and marketing measurement using SQL, Python, and visualization tools. Build scalable reporting frameworks, improve data quality, communicate insights to senior stakeholders, influence channel and budget decisions, and mentor junior analysts.

Leads Cisco’s global compliance data analytics program, managing the Compliance Analytics & Enablement team. Develops multi-year analytics and AI/ML roadmaps, builds automated compliance risk monitoring and early-warning systems, integrates enterprise data sources, and delivers actionable insights to senior executives and the board. Partners with Legal, Compliance, Audit, engineering, and business teams to support compliance-by-design, regulatory risk mitigation, and data-driven decision-making.

Summer technology intern supporting data analytics solutions, including SQL and Python data extraction, transformation, pipelines, reports, and Tableau dashboards in Snowflake. The role applies AI/ML, predictive analytics, natural language querying, and GenAI-assisted analysis to business decision-making. Interns collaborate in Agile teams, refine development backlogs, learn emerging technologies, and build cross-functional relationships.

Supports DIRECTV FOR BUSINESS through KPI analytics, financial analysis, customer segmentation, and process improvement initiatives. The intern analyzes performance drivers, commitments, projects, and customer experience impacts; synthesizes insights into data stories; documents processes; and presents findings to leaders. The role involves cross-functional virtual collaboration and requires proficiency in Excel, PowerPoint, Python, SQL, Power BI, and data visualization.

Leads fraud strategy through trend analysis, root-cause investigation, mitigation recommendations, and fraud-control optimization. Manages and mentors 2–5 fraud analysts, evaluates detection tools and data sources, monitors performance metrics, and communicates risk insights to leadership. Partners with Operations, Compliance, Credit, and Product teams to implement compliant fraud strategies and reduce losses while supporting growth.

Leads and develops a team of Conversion Data Analysts, owning workload prioritization, delivery quality, and performance outcomes. Uses KPIs and data to identify risks, guide decisions, and improve high-volume conversion workflows. Partners with project management, Engineering, Product, Support, and leadership to ensure accurate data mapping and successful customer onboarding. Requires people leadership, SQL, Excel, data validation, CRM, and conversion tooling experience.

The Staff Data Scientist will drive data-informed monetization strategies across subscriptions, advertising, and virtual currencies, collaborating with product and engineering teams and defining success metrics.

The Sr. Data Analyst will utilize industry knowledge to analyze data, develop solutions, and support customers globally, focusing on delivering high-quality IT services.

The Data Scientist will improve performance through innovative analytics solutions, collaborate with stakeholders to solve business problems, and design models to derive insights.

Paid 10-12 week summer internship supporting Boeing Analytics teams. Interns work on data analytics, data science, ML/AI, or software projects with mentor guidance, facility tours, networking, and potential relocation for eligible candidates.

Build Baseten’s marketing analytics foundation, including data models, dashboards, segmentation, lifecycle measurement, attribution, experimentation, and conversion optimization. Integrate CRM, advertising, web, email, product, and revenue data to connect customer journeys and enable data-driven marketing decisions. Partner with Demand Gen, Field Marketing, Marketing Operations, Product Marketing, GTM, Finance, Product, and Engineering.

Leads and develops a team of data analysts and BI developers, establishes the analytics strategy and roadmap, prioritizes projects, and oversees dashboards, reports, and data solutions. Partners with business and executive leaders to translate complex problems into actionable insights, while championing data governance, security, team performance, and continuous improvement.

Supports data analysis, cleansing, matching, and quality monitoring for master and transactional data. Assists with troubleshooting discrepancies, maintaining data integrity, and contributing to Business Intelligence projects involving dashboard design, documentation, and data storytelling. Uses databases, statistical methods, data models, business requirements, and Agile project practices to identify patterns, assess process performance, and improve data quality.

Deliver transaction-focused data analytics for M&A engagements: extract, clean, model, and visualize large financial, customer, sales, pricing, and operational datasets using Python, Alteryx, SQL, and BI tools. Provide actionable insights on revenue, margin, profitability, and value-creation, communicate recommendations to clients, manage workstreams, mentor juniors, and support transaction lifecycle activities.

Year-round Capital Markets Compliance intern who designs, develops, tests, and visualizes regulatory technology data solutions. The role involves partnering with Compliance and business teams, analyzing business data, supporting decision-making, participating in projects, and creating solutions with Python, SQL, and potentially Power BI. The intern works full time during summers and part time during semesters in a hybrid Milwaukee-based schedule.