Top Analytics Jobs

Supports Device and Product Engineering teams by collecting, organizing, and tracking wafer lot data across GaN and SiC products. Assists with basic wafer- and part-level yield calculations, database or spreadsheet maintenance, data validation, lot status tracking, and creation of simple charts and trend summaries. This learning-focused internship provides exposure to semiconductor manufacturing data and practical analytics skills.

Leads enterprise marketing analytics initiatives informing marketing investment, pricing, revenue optimization, and commercial strategy. Analyzes attribution, incrementality, forecasting, and complex datasets; develops KPI frameworks and scalable methodologies; presents recommendations to executives; aligns global stakeholders and data sources; and mentors analysts. The role requires strong SQL and BI expertise, advanced analytical judgment, and independent leadership in a hybrid environment.

Supports the Marketing Data & Analytics team by compiling and analyzing web traffic, e-commerce, product, and customer feedback data. Assists with dashboard and report development, ad-hoc analysis, trend identification, data pulls, stakeholder summaries, and cross-functional data coordination. The intern will use analytics tools including Adobe Analytics, Qualtrics, and GA4, and present project findings to executive leadership.

Lead earned media, social, influencer, audience, competitive, and Generative Engine Optimization research for client engagements and new-business pitches. Oversee research quality, coach junior and global team members, develop measurement frameworks, analyze platform data, and translate quantitative and qualitative findings into executive-ready narratives. Present recommendations to agency leaders and clients while partnering across account, strategy, and creative teams.

Analyzes internal and external APP and provider data, market intelligence, surveys, operational inputs, and qualitative research. Maintains data sources, cleans and reconciles datasets, performs descriptive analysis and segmentation, and synthesizes findings into executive-ready reports and presentations. Supports research initiatives, project execution, cross-functional data requests, provider interviews, and continuous improvement efforts for Partner Engagement leadership.

Leads the analytics function for media clients, developing measurement frameworks, attribution models, dashboards, and actionable insights. Advises senior clients, translates complex data into strategic recommendations, supports business development, and partners with media, strategy, creative, and technical teams. Manages and mentors analytics professionals while overseeing reporting quality, first-party data applications, marketing mix modeling, multi-touch attribution, and performance measurement across digital and retail media channels.

Summer 2027 data analytics internship supporting advertising and marketing campaign analysis, dashboard construction, data visualization, and report development for client teams. The role is full-time, in-person at the company’s downtown Nashville office, from May 24 through July 30, 2027.

Leads fulfillment strategy and analytics, owning north-star metrics, experimentation strategy, product analytics, brand-growth analytics, and cross-functional strategic initiatives. The role translates complex analyses into leadership recommendations, ensures reliable instrumentation and measurement, coordinates analytical partners, and builds scalable processes and AI-enabled workflows. It requires strong strategic problem-solving, communication, product intuition, experimentation expertise, and advanced analytical experience across product analytics, consulting, or business operations.

Analyzes internal and external APP and provider data using advanced Excel, quantitative methods, surveys, operational inputs, qualitative research, and market intelligence. Maintains evidence documentation, cleans and reconciles data, identifies trends and insights, and prepares executive-ready reports and presentations. Supports research partnerships, provider interviews, initiative pilots, implementation, evaluation, and continuous improvement while coordinating cross-functional data requests across operations, clinical, product, technology, and other teams.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.

Lead and grow a marketplace growth analytics team to drive product and marketplace performance. Define success metrics, own experimentation strategy, deliver rigorous analyses (forecasting, causal inference, predictive modeling), partner with Product/Engineering/Finance, and translate insights into prioritized product decisions and reliable reporting. Balance strategic leadership with hands-on analytics and embed measurement into the product development lifecycle.

Perform end-to-end quantitative analytics for deposit pricing, focusing on CDs and elasticity testing. Analyze large money-movement datasets to inform pricing strategy, build automated interactive dashboards, ensure data accuracy, monitor competitor and macro trends, and present insights to senior leadership while partnering with pricing, finance, risk, marketing, and product teams.

Perform advanced quantitative analyses on large card portfolio datasets to inform marketing, product, finance, and risk decisions. Build executive dashboards and reports, apply data mining and statistical techniques, translate customer behavior into actionable insights, partner with stakeholders to optimize campaigns and portfolio profitability, and contribute to analytics architecture and process improvements with limited oversight.

Perform quantitative analyses of business lending portfolios to generate strategy recommendations, monitor portfolio and collection performance, design and test risk/growth strategies, produce periodic reporting, support ad hoc requests, and maintain audit‑ready documentation and controls.

Design and implement forecasting and automation solutions for finance. Translate business requirements into development-ready artifacts, collaborate with stakeholders and engineering, monitor solution performance, and document progress in JIRA.

Leads fraud analytics for financial services clients by analyzing large payment and card datasets, identifying fraud trends and emerging risks, developing fraud strategies, and optimizing decision systems. Partners with fraud, risk, operations, and technology teams to monitor models, evaluate performance, create dashboards, and deliver actionable recommendations that reduce losses and improve customer experience.

As an Analyst, you will conduct analyses for Hive's offerings, support project delivery, collaborate with teams, and communicate project outcomes.

Enterprise Analytics interns support data analysis and visualization projects across healthcare operations. They conduct exploratory and advanced analytics, use Tableau and analytical tools, participate in the full project lifecycle, collaborate with analytics team members and business leaders, define business problems, and communicate actionable insights. The role offers flexible scheduling of up to 40 hours weekly.

Supports data analytics and solution delivery through data profiling, modeling, visualization, testing, integration, and stakeholder collaboration. The intern participates in Agile ceremonies, helps transform business questions into data insights, explores approved AI capabilities, and contributes to projects using SQL, SSIS, Python, Snowflake, Microsoft Fabric, and ETL tools. This hybrid role requires full-time summer and part-time semester availability in a Milwaukee or Madison office.

Manage credit card analytics supporting risk management, loss mitigation, and portfolio growth. Responsibilities include reporting, strategy implementation and validation, customer segmentation, competitive and sensitivity analysis, modeling, targeting optimization, data querying, automation, quality control, and presenting insights to management.

Leads marketing analytics, predictive modeling, segmentation, and experimentation to improve acquisition, retention, and pipeline performance. Designs and maintains machine learning models, governs A/B and multivariate testing, translates insights into campaign execution, and evaluates analytics platforms. Manages budgets, regulatory compliance, strategic initiatives, and team performance while partnering with Finance, Sales, Operations, IT, and servicing teams. The role is fully on-site with occasional adjusted schedules.

Summer data analytics internship providing hands-on experience alongside utility industry professionals. Interns receive mentorship, participate in networking activities, and apply academic knowledge in data analytics, data science, computer science, mathematics, or statistics. Applicants must be enrolled undergraduate or graduate students, maintain a 3.0 GPA or higher, and hold a valid driver's license.

Owns retention analytics for a new Loyalty & Retention organization, including churn definitions, survival analysis, forecasting, experimentation, acquisition attribution, satisfaction analysis, payment recovery, and save-desk performance. The role builds reporting and predictive models from scratch, partners with BI and actuarial teams, influences cross-functional decisions, and presents retention findings and forecasts to executives.

Analyze operational and customer feedback data to identify trends, customer friction, and performance insights. Build dashboards and reports for leadership, translate findings into recommendations, and create reusable briefs, templates, enablement materials, and documentation. Support program initiatives by tracking milestones and stakeholder inputs, then present findings and deliverables to leadership at the internship’s conclusion.

Leads the program’s data and analytics capability, developing financial and operational analyses, data-quality practices, cost models, dashboards, and executive visualizations. The role supports billing methodologies, anomaly and trend identification, Government requests, and repeatable analytical processes. It requires translating complex data into actionable findings and documenting assumptions and data sources, with preferred experience in federal financial management, cost allocation, predictive modeling, and federal financial systems.