Top Analytics Jobs

Leads advanced data analytics and customer insights initiatives, transforming structured and unstructured data into strategic recommendations. Develops statistical analyses, reporting capabilities, dashboards, and data-driven solutions to support organizational prioritization and improve customer experiences. Collaborates with analytics, engineering, data science, marketing, and product teams while applying tools such as SQL, Python, R, Tableau, Power BI, Snowflake, and Athena.

Analyzes large-scale pharmacy claims data using SQL to validate adjudication, pricing, benefits, reimbursements, and contractual compliance. Investigates discrepancies, performs root-cause analysis, quantifies financial and operational risk, supports audits and reconciliations, and develops monitoring, dashboards, reports, and analytical tools. Partners with Finance, Legal, Product, Operations, Network, and Compliance teams to improve claims accuracy, automate controls, and communicate actionable findings.

Leads deployment and integration of actuarial models into digital products. Manages delivery planning, coordinates analytics and development teams, establishes governance and testing frameworks, guides product design, explains methodologies and model outputs to technical and executive stakeholders, and supports client relationships and growth. Requires strong quantitative modeling, digital product development, communication, project management, and stakeholder engagement skills.

Generate actionable customer and product insights by synthesizing large, complex datasets, developing hypotheses, conducting experimentation and analysis, and translating findings into strategic business decisions. Collaborate cross-functionally with analytics, engineering, data science, marketing, and product teams. Build dashboards and reports, identify trends and growth opportunities, communicate customer experience insights, and strengthen analytics capabilities across the organization.

Leads advanced analytics initiatives, develops data models and algorithms, and delivers insights for strategic business decisions. Manages end-to-end analytics projects from prototyping through implementation, partners with senior leaders and cross-functional stakeholders, and builds a high-performing analytics team through mentoring and development. The role supports marketplace pricing strategies, operational improvement, business growth, and measurable organizational outcomes.

Develops Finance analytics solutions spanning data production support, data quality, visualization, analytical modeling, AI-enabled insights, and self-service reporting. Leads small to medium analytics projects, transforms and models data, documents solutions, establishes best practices, and mentors staff. Requires SQL, analytics and visualization experience, knowledge of AI/ML, and familiarity with healthcare Finance data such as Epic, Clarity, and Oracle.

Leads analytics for B2B sales, partnerships, revenue operations, and marketing teams. Responsibilities include forecasting, opportunity sizing, partner performance analysis, enterprise market intelligence, RFP analytics, lead scoring, funnel and lifecycle optimization, predictive modeling, experimentation, and executive insight generation. The role partners with Data Science and Engineering teams to improve revenue growth, onboarding, retention, campaign effectiveness, and sales performance across enterprise and SMB channels.

Supports production planning and digital transformation by analyzing manufacturing, inventory, scheduling, and production-performance data. Builds dashboards, reports, and visualizations; documents workflows; identifies automation and AI opportunities; assists with analytics and digital-tool pilots; validates data; researches emerging technologies; and presents recommendations to operations, planning, and leadership stakeholders in a manufacturing environment.

Manage quantitative analytics consulting projects, including hypothesis development, data collection, modeling, analysis, research, and insight generation. Oversee analysts, collaborate with clients and partners, deliver high-quality project outcomes, manage demanding workloads, and coach team members. The role requires strong quantitative, communication, documentation, and presentation skills, proficiency with analytics software, and regular travel.

Analytics intern supporting commercial real estate functions including analytics, FP&A, accounting, reporting, and capital markets. Responsibilities include improving processes with automation, developing KPI models and interactive dashboards, recommending machine learning applications, building predictive models, and presenting a final business case. The role is part-time, in-person, and designed for a master's student seeking practical analytics and real estate industry experience.

Teaches undergraduate and graduate Business Analytics courses in a blended format. Responsibilities include developing syllabi and lesson plans, preparing and updating course materials, facilitating online and face-to-face learning, communicating expectations, creating and grading assessments, providing timely feedback, and integrating responsible AI practices into instruction. Faculty must complete ongoing training and professional development while supporting student learning in accordance with university requirements.

Teaches online undergraduate and graduate data analytics courses, develops syllabi and lesson plans, prepares course materials, facilitates discussions, evaluates student work, provides feedback, and integrates responsible AI practices. The role requires maintaining course alignment with institutional objectives, supporting diverse learners, participating in faculty training, and applying current analytics methods, tools, and ethical data practices.

Leads sales, traffic, average-check analysis, forecasting, scenario modeling, and variance analysis across company, franchise, DMA, and digital channels. Evaluates marketing, pricing, menu, promotional, loyalty, and delivery marketplace performance, builds executive dashboards, supports test-and-learn initiatives, and translates findings into recommendations for Marketing, Finance, and Operations. Requires strong SQL, spreadsheet, visualization, forecasting, analytical storytelling, and cross-functional collaboration skills.

The Director leads the Data & Analytics department, setting strategy, architecture, governance, and a multi-year roadmap. Responsibilities include overseeing data pipelines, analytics, visualization, AI/ML applications, data quality, risk controls, and self-service solutions. The role manages stakeholder engagement, executive reporting, vendor partnerships, and cross-functional delivery while recruiting, developing, and retaining a high-performing multidisciplinary team.

The Data Analytics Intern will support analytics, reporting, process improvement, and strategic insight initiatives. Responsibilities include extracting, transforming, and interpreting datasets; learning enterprise data warehouse and BI architecture; collaborating in an Agile environment; and presenting internship project outcomes. The role also includes leadership exposure, mentorship, teamwork, and a capstone presentation.

Analyzes procurement and spend data to identify sales, savings, and value-creation opportunities for customers and supplier partners. Responsibilities include assembling and normalizing complex datasets, managing data taxonomies, creating customized reports and deliverables, identifying trends, supporting sales growth, communicating insights, resolving stakeholder issues, and mentoring junior analysts.

Leads marketing and loyalty analytics strategy, measurement frameworks, forecasting, experimentation, campaign reporting, retention analysis, churn modeling, and segmentation. Partners with Marketing and Finance to establish performance goals and translate complex data into actionable recommendations. Automates reporting using analytics platforms, marketing automation tools, experimentation methods, and AI-enabled workflows while identifying opportunities to grow and retain high-value consumers.

Leads advanced analytics initiatives using diverse data sources, predictive modeling, statistics, and trend analysis to solve business problems and guide strategic decisions. Builds and validates complex models, develops dashboards and reports, creates business cases, and advises stakeholders on data-driven recommendations. The role influences executive decisions, leads significant projects with autonomy, mentors staff, and drives improvements across multiple business lines.

Analyze and optimize marketing campaign ROI across channels, evaluate app and partner data, conduct funnel, cohort, attribution, and retention analyses, and develop actionable recommendations. The role requires Marketing Mix Modeling, Multi-Touch Attribution, forecasting, segmentation, and statistical analysis. The consultant will collaborate with product, analytics, engineering, and marketing stakeholders to define measurement strategies, build reporting mechanisms, and translate complex data into business insights that improve adoption, retention, revenue, and campaign effectiveness.

Lead data analytics initiatives supporting federal program performance management and leadership decision-making. Develop advanced analytics solutions, integrate data from SAM, FSMS, and SharePoint, create dashboards and performance metrics, ensure data accuracy and federal compliance, and provide insights to improve operational efficiency. The role requires on-site work in Washington, D.C., prior DHS or DoD experience, and extensive data analytics experience.

Leads digital analytics for a large-scale website, analyzing customer behavior, marketing channels, search trends, conversion funnels, and digital experiences. Owns GA4 measurement strategy, KPI frameworks, dashboards, reporting, data quality, and analytics prioritization. Translates complex data into recommendations for marketing, product, UX, engineering, SEO, and paid media teams, while delivering executive reporting and promoting experimentation and continuous optimization.

Ten-week Operations Performance Analytics internship supporting cross-functional projects, data analysis, research, recommendations, process improvement, and member-focused business solutions. The intern will manage project deliverables with mentorship, collaborate across business and technical teams, report project status, and present results to leadership. Strong communication, analytical, organizational, multitasking, and problem-solving skills are required, along with proficiency in Office 365 and collaboration tools.

Summer interns support functional departments through data gathering, process improvement, problem-solving, and operational efficiency initiatives. They complete a core assignment and special project, communicate progress and results, collaborate across teams, and present outcomes to leadership. Responsibilities may span HR, manufacturing, quality, supply chain, commercial, engineering, or IT. Interns must work full-time during the internship and demonstrate professionalism, accountability, continuous improvement, and safe work practices.

Support data collection, cleaning, preprocessing, exploratory analysis, data quality monitoring, and dashboard, chart, and report development. The intern will identify trends and actionable insights, resolve data discrepancies, collaborate with stakeholders, and stay current with data analytics techniques and technologies.

Leads Educate!’s performance metrics and data function, setting strategy, building an AI-native analytics team, and owning data architecture, engineering, collection, and analytics oversight. The role establishes self-service reporting, governs dbt and BigQuery quality, develops dashboards and decision tools, advances predictive analytics, and partners with Technology, Evaluation, Product, implementation teams, and the COO. It also requires developing leaders, improving data literacy, and ensuring teams use data to improve youth programs.