Top Analytics Jobs

Teach undergraduate and graduate information systems and analytics courses, including course preparation, student assessment, grading, advising, and office hours. Participate in departmental, university, professional, and community service, contribute to student learning assessment, and maintain professional activity through scholarship, conferences, pedagogy, or industry practice.

Manage data and analytics consulting projects, teams, stakeholders, and delivery phases from requirements through deployment. Lead hands-on SQL and Python development, data modeling, data warehouse design, and BI visualization using tools such as Tableau, Power BI, Snowflake, and Databricks. Facilitate client workshops and executive meetings, manage risks and budgets, ensure client satisfaction, and contribute to practice growth through mentoring, recruiting, and methodology development.

Analyzes web, campaign, customer, and user behavior data to support digital marketing strategy. Builds dashboards and presentations using Adobe Analytics, Power BI, and Tableau; conducts A/B testing, usability analysis, and deep-dive case studies; validates tagging and reporting implementations; and provides actionable recommendations to stakeholders. The role also coordinates Agile analytics work, vendors, prioritization, and client-facing delivery.

Own the Palantir Foundry platform from a finance perspective, developing data pipelines, integrations, ontologies, applications, and interactive dashboards. Troubleshoot data and system issues, document reverse ETL flows and technical specifications, and improve business processes through automation. The role requires experience with data visualization, Databricks or similar platforms, PySpark, TypeScript, NetSuite integrations, and data analysis.

Evaluates analytical and fraud models, compares performance, prioritizes models for implementation, and coordinates deployment into production. Manages timelines, requirements, dependencies, deliverables, and issue resolution across data science, technology, modeling, and business teams. Tracks model performance before and after implementation, analyzes results, prepares reports, and communicates recommendations to stakeholders.

The Senior Data Analyst transforms complex mortgage, financial, and operational data into actionable insights for the Mortgage Partnership Finance program. Responsibilities include portfolio and risk analysis, forecasting, dashboard and scorecard development, automated reporting, data validation, governance, and executive presentations. The role collaborates with Risk, Finance, Business Intelligence, Data Management, Member Services, and Mortgage Operations teams while mentoring junior analysts and interns.

Lead quantitative analyses to design, implement, and evaluate Medicare and Medicaid payment models. Query large claims/enrollment datasets, build payment calculations, financial and quality metrics, and apply ML/econometric/predictive models. Mentor staff, write reproducible code and documentation, develop client relationships, perform rapid ad-hoc analyses, and help integrate AI into technical workflows.

Supports business decisions through data analysis, reporting, data engineering, and process automation. Responsibilities include building data pipelines, Power BI dashboards, and reporting solutions; validating and transforming data; identifying trends; and providing actionable insights using operational, financial, sales, pricing, quoting, and production data. The intern collaborates with business stakeholders and owns analytics projects from concept through implementation.

Provides customized healthcare analytics using procedural, supply utilization, cost, outcomes, and performance data. Conducts advanced comparative analyses, identifies optimization opportunities, translates findings into recommendations, presents insights to clients and leaders, facilitates requirements meetings, ensures accurate reporting, and contributes to mentoring and best practices.

Analyze manufacturing, inventory, quality, and production data to support operational decision-making. The intern will write SQL queries, streamline reporting, validate datasets, build dashboards, investigate open-ended business questions, and translate raw data into actionable insights. The role partners with production, quality, supply chain, engineering, and leadership teams in an in-person manufacturing environment.

Analyze manufacturing, inventory, quality, and production data to support operational decisions. The intern will write SQL queries, use Python for data analysis and automation, build or streamline reporting with BI tools, validate datasets, and answer open-ended business questions. The role partners with production, quality, supply chain, engineering, and leadership teams to turn raw data into clear, actionable insights for factory operations.

Leads and develops the data analytics team while owning the analytics strategy, roadmap, and self-service reporting capabilities. Designs Power BI dashboards, SSAS Tabular models, and SQL-based analytics solutions across enterprise data platforms. Partners with executives and stakeholders to translate data into actionable insights, improve governance, and promote data-driven decisions. Drives AI-augmented analytics initiatives involving Microsoft Fabric, Copilot, Azure OpenAI, predictive reporting, natural-language querying, and responsible AI practices.

Leads analytics strategy and delivery for agency clients, ensuring high-quality insights, attribution, measurement, forecasting, and marketing optimization across media channels. Acts as the senior client contact, expands analytics engagements, manages scoping and profitability, and translates complex findings into actionable recommendations. Builds and mentors a high-performing analytics team while advancing data-driven decision-making, business intelligence, modeling, and customer insights.

Analyze customer, product, category, and digital marketing data to identify trends, risks, and growth opportunities. Build dashboards, maintain reporting processes and data structures, translate findings into actionable recommendations, and present insights to technical and non-technical stakeholders. Partner with marketing channel owners and cross-functional teams to support customer acquisition, retention, lifecycle health, and global retail growth.

Leads marketing analytics strategy for consumer brands, delivering marketing ROI insights, investment scenarios, forecasting, marketing mix analysis, and media optimization recommendations. Partners with brand, sales, finance, category management, agencies, and data vendors to translate complex data into actionable business strategies. Guides annual marketing planning, improves KPI adoption, and communicates findings to senior stakeholders through compelling data-driven narratives.

Leads marketing analytics for consumer packaged goods brands, delivering insights on marketing ROI, marketing mix, forecasting, pricing, and promotions. Partners with brand, category management, analytics, vendors, and data suppliers to develop annual marketing plans, model investment scenarios, interpret research, improve media and marketing returns, and increase KPI adoption. Requires expertise in econometric modeling, regression, CPG retail measurement data, and quantitative marketing analysis.

Analyze GA4 web performance data through manual native-interface extraction, quarterly and ad hoc reporting, trend analysis, attribution evaluation, and stakeholder insights. Design and document event-based measurement plans, implement and troubleshoot GA4 through GTM, validate data layers and event schemas, configure custom definitions and Explorations, and diagnose tracking discrepancies. The contractor will translate digital performance trends into business recommendations while explaining GA4 behavior to technical and non-technical audiences.

Analyze play-test telemetry and research data to support game development decisions. The intern will query, join, validate, and summarize datasets; understand telemetry schemas; build JavaScript and Apache ECharts visualizations; conduct data-quality checks and ad-hoc analyses; integrate telemetry with survey data; and communicate findings to researchers, designers, and other nontechnical partners.

Lead product analytics for Guest or Host App: analyze large datasets, design and evaluate experiments, build metrics and reporting tools, apply statistical and causal methods, partner cross-functionally, present insights to stakeholders, and leverage AI to automate tasks.

Analyze quantitative and qualitative customer data using Adobe Customer Journey Analytics and BI tools. Build data pipelines, segments, calculated metrics, reports, and executive dashboards; validate deliverables; identify business insights; and communicate recommendations to clients and stakeholders. The role also involves project planning, process improvement, web analytics debugging, and presenting client-ready findings.

Analyze quantitative and qualitative customer data using Adobe Customer Journey Analytics and BI tools. Build data pipelines, segments, calculated metrics, dashboards, reports, and executive presentations. Translate findings into actionable business recommendations, validate deliverables, support client decision-making, and improve analytics processes. The role also requires managing project plans, collaborating across teams, presenting insights, and debugging webpages to verify analytics data collection.

Leads and develops product, marketing, and data analysts while overseeing analytics strategy, prioritization, technical standards, experimentation, reporting, and data quality. Partners with Product, Marketing, Finance, Engineering, and recruiting to deliver trusted insights, scalable self-service analytics, and team growth. Requires strong SQL and Python skills, modern data-tool experience, analytics leadership, stakeholder communication, and at least five years in data roles with two years managing teams.

Leads audience strategy and analytics engagements, translating business and media objectives into segmentation, profiling, CRM, lookalike, and opportunity-sizing insights. Analyzes first-party and syndicated data using SQL, Python, R, and research platforms; develops visualizations and recommendations; oversees custom audience solutions and external partners; presents findings to clients; and mentors analysts while advancing analytics methodologies, dashboards, training, and thought leadership.

Participates in a 12-week Internal Audit Technology and Analytics internship. Performs exploratory and statistical data analysis, risk assessment, dashboard development, reporting, data acquisition, cleaning, and transformation. Documents analytic projects, communicates insights and recommendations, supports continuous improvement, and collaborates with audit and technology teams using tools such as Excel, Power BI, Tableau, Python, SQL, and AI assistants.

Develop statistical, machine learning, and deep learning models to measure the impact of pharmaceutical HCP, DTC, and Medical Affairs campaigns. Partner with internal and external clients, provide analytical insights and methodological guidance, consult with sales and market research teams, and coach an offshore analytics team. The role requires applying causal inference, healthcare and pharmaceutical data expertise, and clear communication of findings to clients and executives.