Top Senior Analytics Jobs

Leads analytics, reporting, data modeling, automation, AI-agent development, and quality assurance for revenue cycle operations. Creates Power BI and Excel reports, analyzes complex healthcare and operational datasets, develops scalable warehouse models, and delivers actionable insights to leadership. Uses SQL, cloud data platforms, Git, Python, and AI-assisted tools to improve reporting efficiency, accuracy, and decision support.

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.

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.

Performs complex fraud analytics and financial modeling for money movement products. Uses SAS, SQL, Excel, Tableau, and databases to evaluate fraud risk, develop mitigation strategies, improve portfolio performance, and recommend policy changes. Leads reporting, strategy requirements, testing, and rollout activities, supports biometrics enhancements, and helps implement machine learning capabilities while communicating recommendations to senior management.

Leads end-to-end marketing analytics for small business acquisition campaigns, including opportunity sizing, targeting, experimentation, performance reporting, profitability, and ROI measurement. Partners with Marketing, Finance, Modeling, and Data teams to guide investment decisions and improve measurement rigor. Owns stakeholder delivery, data requirements, analytic frameworks, controls, and auditability while coaching junior analysts and translating complex findings into clear recommendations for senior audiences.

Leads credit card analytics strategy and team development, covering acquisition growth, targeting, channel and segment valuation, partner management, underwriting optimization, testing, customer experience improvements, and data-science model development. Builds and manages a geographically distributed analytics organization while influencing cross-functional stakeholders across marketing, product, technology, design, and underwriting.

Leads analytics for Pricing and Supply, managing a team of approximately eight analysts. Partners with cross-functional leaders to prioritize analytical work, build dashboards and decision frameworks, improve metric quality, and generate insights into pricing, supplier coverage, marketplace performance, conversion, margin, and customer behavior. Coaches analysts, establishes scalable analytics processes, and collaborates with data engineering teams to improve data models, tooling, and self-service capabilities.

Leads enterprise risk analytics strategy, teams, and oversight capabilities. Develops forward-looking risk indicators, dashboards, reporting, AI-enabled analytics, AML analytics, and continuous monitoring programs. Establishes standards for analytics governance, testing, documentation, validation, and quality assurance. Partners with senior leaders and cross-functional teams to translate analysis into strategic recommendations, improve risk management processes, and drive automation, standardization, and data infrastructure transformation.

Leads enterprise data analytics, reporting, business intelligence, dashboards, data quality, and data governance supporting Texas child welfare services. Oversees data strategy, advanced analysis, system integration, documentation, and actionable insights for leaders, staff, funders, and policymakers. Supervises analytics personnel, manages priorities and budgets, promotes ethical data stewardship, and ensures compliance with child welfare regulations. Requires collaboration with operational leaders and translation of complex data into service improvement and outcome-focused decisions.

Leads analytics and AI initiatives for North American underwriting teams, translating business needs into analytical requirements and practical solutions. Performs hands-on analysis of complex datasets, recommends appropriate analytical methods, prototypes AI-enabled solutions, and partners with data, technology, and business teams through agile delivery. Communicates findings to technical and nontechnical stakeholders, supports model deployment and monitoring, ensures governance and explainability, and drives measurable adoption and business outcomes.

Performs digital measurement analytics for emerging payments platforms, including data collection, validation, reporting, and feature-performance measurement. Partners with marketing, technology, digital, and analytics stakeholders to implement strategic priorities, deliver accurate insights, and support digital data strategy. The role also contributes to analytics roadmaps, project delivery, internal initiatives, and actionable business recommendations using SAS, SQL, Tableau, and Adobe Analytics.

Build statistical models and advanced analytics, including marketing mix modeling and attribution, to optimize clients’ media investments. Improve analytics infrastructure, processes, automation, and scalable capabilities while communicating insights to clients and internal stakeholders. Manage collaborative relationships across analytics, data, brand, activation, and vendor teams, providing strategic solutions and thought leadership.

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.

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.

Leads advanced econometric, microsimulation, forecasting, causal inference, and policy-impact modeling for NYC policies and investments. Develops reproducible R-based analytical workflows, validates models, analyzes complex datasets, and communicates findings to technical and nontechnical stakeholders. Oversees complex research projects, mentors staff, collaborates with agencies and external partners, and translates quantitative results into policy recommendations.

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.

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.

Leads end-to-end analytics projects for FINRA’s regulatory operations, including scoping quantitative methods, developing predictive pipelines, expanding data sources, and delivering analytics capabilities. Promotes advanced analytics adoption, supports cross-market surveillance, engages stakeholders, responds to research requests, and mentors analysts. Requires collaboration across delivery teams and participation in strategic analytics initiatives.

Develop customer analytics that improve retention, growth, adoption, and operational performance. Build and maintain BI dashboards, customer health metrics, churn-risk reporting, and predictive models. Partner with Client Success, Product, Sales, and Operations to translate complex findings into actionable recommendations. The role also owns data quality, governance, reporting automation, workflow improvements, and stakeholder communication.

Analyze paid media, CRM, organic demand, conversion funnels, and service-line performance for Aspen Dental. Identify funnel drivers, measure incrementality, evaluate experiments, optimize marketing spend, forecast business outcomes, and develop ROAS and diminishing-return frameworks. The role synthesizes data from multiple teams into actionable recommendations and performance narratives while partnering cross-functionally with Marketing, Finance, Technology, Operations, and Call Center teams.