Top Analytics Jobs

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.

Analytics interns will research company data, write analytical code, uncover insights, and communicate actionable recommendations to leadership. Interns may join Strategic Analytics, Risk, or Business Planning & Analysis teams, collaborating in a fast-paced fintech startup. The 10–12-week program includes mentorship, data challenges, team interviews, and opportunities to support business decisions.

Analyzes and visualizes client data using SQL, Python, Power BI, and Tableau; automates analytical and business processes with Power Automate; develops dashboards and analytical solutions; identifies risks and requirements; defines KPIs; and communicates insights to technical and non-technical stakeholders. The role requires an active Secret clearance and full-time onsite work in Washington, D.C., with up to 10% travel.

Leads the design and delivery of scalable analytics solutions using Azure Databricks, Power BI, and related platforms. Transforms and validates structured and unstructured data, applies statistical techniques, develops dashboards and analytical models, and implements data governance and quality processes. Partners with business and technology stakeholders to translate requirements into technical solutions, provides peer guidance, monitors data trends, and communicates actionable insights to technical and non-technical audiences.

Lead data analysis projects to help merchant partners understand Upside's impact, manage analytics relationships, and improve product strategy.

Lead data analysis for merchants, manage projects to improve product and acquisition strategies, and communicate insights effectively.

Lead a team in data analytics to identify and mitigate compliance risks in lending using statistical modeling and machine learning. Oversee fair lending reviews and collaborate with cross-functional teams to implement data-driven strategies in compliance operations.

Build scalable analytical products, data models, automation, and measurement solutions for the Individual Investors business. Apply advanced statistics, forecasting, machine learning, experimentation, optimization, and simulation to complex business problems. Use SQL, Python, cloud data warehouse practices, version control, testing, and documentation to create reliable, reusable capabilities. Partner with technical and business stakeholders, communicate insights, and improve analytical solutions through Agile delivery and engineering discipline.

Data Analytics interns support business analytics, data governance, commercial analytics, data intelligence, and IT initiatives. Responsibilities may include analyzing data, creating dashboards and visualizations, improving data quality, developing reporting tools, documenting complex processes, presenting insights, and collaborating with cross-functional stakeholders. Interns apply academic knowledge to meaningful projects, build professional relationships, and contribute to data-driven business decisions.

Analyze healthcare claims, authorization, and related data to identify trends and opportunities. Develop dashboards, visualizations, analyses, and presentations supporting operational, clinical, and financial decisions. Collaborate with stakeholders, data and engineering teams to define requirements, improve data quality, and deliver actionable recommendations across multiple analytical projects.

Manages data analysts and leads analytics initiatives for AbbVie Complete Access. Develops complex data models, dashboards, visualizations, reports, KPIs, and predictive analytics to translate data into actionable business insights. Oversees data quality, reporting systems, investigations, process improvements, and operational efficiency while partnering cross-functionally and coaching analytical staff.

Analyze global performance marketing campaigns, measure media-spend impact, develop data-driven user-growth strategies, define marketing KPIs, and transform complex data into actionable insights. The role partners with data science and marketing technology teams, shapes backend data design, and builds dashboards in tools such as Tableau. Candidates need strong SQL, marketing analytics, data visualization, communication, and analytical skills, with occasional statistical programming experience preferred.

Supports business-impacting projects through data analysis, reporting, systems performance analysis, clinical insights, and innovation initiatives. Uses Excel, VBA, Power BI, and SQL while collaborating across the company to support SaaS products and build technical and interpersonal skills.

Intern will support enterprise data and advanced analytics initiatives, including AI solution development, data discovery, data extraction and pipeline development, data modeling, insight generation, and visualization. The role involves combining data from business systems, IoT, telematics, and digital initiatives, while collaborating with IT, cross-functional teams, mentors, and leadership. The hybrid internship is based in Columbus, Indiana, with remote work Thursdays and Fridays.

Eight-week client-facing analytics internship involving large datasets, customized analyses, advanced statistical models, and model development or validation. The analyst will collaborate with consulting teams and clients, summarize and document findings, and present client-ready solutions. Candidates should have quantitative academic backgrounds, experience with R, SQL, and Python, strong communication and teamwork skills, and unrestricted U.S. work authorization.

Leads medium- to large-scale analytics projects and client relationships while conducting data analysis, managing data infrastructure, building reports and calculators, and preparing client presentations. Provides strategic insights, oversees deadlines and quality, mentors analysts, collaborates with data science and technical teams, and communicates findings to technical and non-technical stakeholders.

Leads data analytics for clinical operations, triaging data issues, identifying root causes, and partnering with engineering, data, customer success, and business teams on scalable solutions. Defines analytical requirements, develops insights and dashboards, communicates findings to technical and non-technical audiences, manages stakeholder relationships, drives improvement initiatives, and may lead a team of data analysts.

Leads internal data analysis projects, identifies business opportunities and risks, delivers strategic insights to leadership, manages junior analysts, develops dashboards, and improves data quality across company platforms. The role requires translating quantitative findings for nontechnical audiences and applying healthcare or pharmaceutical dataset experience to strategic decision-making.

Leads the company’s analytics strategy, media analytics, web analytics, advanced modeling, testing, data governance, and analytics technology initiatives. Oversees media performance analysis across television, streaming, digital advertising, social, and search; interprets Media Mix Modeling outputs; guides web implementation and data engineering quality; and translates complex findings into business strategies. Manages, mentors, and develops a high-performing analytics team while partnering with senior leadership and contributing to the evolution of the Conversionomics data platform.

Leads the company’s analytics strategy, media analytics, web analytics, advanced modeling, experimentation, data governance, and analytics technology initiatives. Oversees analysis across television, streaming, audio, display, social, search, and offline media. Interprets Media Mix Modeling outputs, guides test design, ensures accurate media data delivery, partners with senior leadership, and manages and develops a high-performing analytics team.

Own product performance analytics across acquisition and engagement journeys. Responsibilities include recurring funnel and channel reporting, customer journey analysis, anomaly and root-cause investigation, impact sizing for product and data issues, forecasting and variance analysis, dashboard and measurement framework development, and ad-hoc analysis. The role partners with Finance, Product, Credit, Risk, Fraud, and other stakeholders to translate findings into actionable business recommendations.

Own client-facing analytics strategy and implementation across GA4, Adobe Analytics, tagging, measurement frameworks, dashboards, experimentation, and GEO measurement. Audit and QA analytics implementations, define KPIs, evaluate incrementality and causal relationships, present executive-ready insights, and collaborate with SEO, paid media, creative, data, engineering, and client teams. Build AI-assisted workflows, automations, scalable tools, and dashboards while mentoring teammates and managing multiple client workstreams.

Leads research, data analysis, reporting, and data management for film and media incentive programs. Oversees data collection, validation, database maintenance, reporting systems, program evaluation, and industry research. Prepares executive briefings, reports, spreadsheets, and actionable recommendations; tracks production status and incentive structures; improves workflows and data quality; and supports strategic planning, policy analysis, stakeholder engagement, and cross-functional initiatives.

Develops advanced analytics, econometric, forecasting, optimization, pricing, promotion, marketing mix, experimentation, and machine learning models to drive commercial growth and business decisions. Partners with cross-functional teams and external data providers to analyze complex datasets, ensure data quality, quantify business impact, and present executive-ready recommendations. Requires strong technical, business, communication, and stakeholder-influence skills.

Manages actuarial and quantitative analytics for marine and boiler insurance products. Leads strategic initiatives, performs pricing, reserving, forecasting, statistical, and research analyses, and communicates insights to business partners and leadership. Drives process improvements, manages projects, mentors staff, supports talent development, and contributes to underwriting, product management, and enterprise initiatives.