Top Analytics Jobs

Design and maintain scalable data pipelines, analytical datasets, models, metrics, dashboards, and analytics products. Use SQL, Python, cloud platforms, visualization tools, automation, and AI capabilities to transform complex data into actionable insights for leadership assessment and talent decisions. Partner with stakeholders, communicate findings, and manage governance, testing, documentation, deployment, and ongoing support.

Lead data-driven initiatives by partnering with marketing, product, and BD to inform acquisition and partnership strategies. Design, run, and analyze A/B experiments, leverage machine learning for in-depth analyses, test growth levers, and automate manual processes to improve operational efficiency.

Partner with cross-functional teams to drive data-driven growth: design and analyze A/B tests, leverage machine learning for insights, define acquisition and partnership levers, and automate processes to improve operational efficiency.

Partner with marketing, product, and biz-dev to drive data-driven growth. Design, run, and analyze A/B tests, define acquisition and partnership levers, leverage machine learning for insights, and automate operational processes to improve efficiency and scalability.

Lead supply-and-demand forecasting for the psychiatry service line: build and maintain S&D models, integrate models into core data infrastructure, define operational metrics (capacity, clinician utilization, hiring targets), run forecast vs. actual audits, and partner cross-functionally to guide hiring, resource allocation, and operational improvements.

Leads advanced analytics and reporting for finance operations, driver earnings, disbursements, tax, controls, and compliance. Develops KPI dashboards, standardizes metrics, improves data quality and governance, automates reporting, and delivers leadership-ready insights. Coordinates user acceptance testing with business, product, and technology teams, translates ambiguous business problems into scalable solutions, partners cross-functionally, and mentors analytics team members.

Manages customer and loyalty analytics activities, using customer data and insights to support loyalty strategy and business decisions. Specific responsibilities and qualifications were not provided.

Analyzes card fraud threats, transaction data, losses, rules, and suspicious activity to identify fraud savings and recommend control improvements. Develops monitoring and reports, supports data automation, database maintenance, quality audits, data governance, model governance, and management presentations. Collaborates with fraud, data governance, and model governance teams while monitoring fraud and analytics trends.

Lead MyFitnessPal’s product analytics practice and team, advising the Chief Product Officer and senior leaders through actionable data insights. Define product metrics, oversee experimentation, analyze customer and marketing behavior, improve instrumentation and data infrastructure, and shape product strategy, roadmaps, engagement, and retention. This hands-on director role combines executive communication, team development, analytical leadership, and direct analysis across consumer iOS and Android applications.

Leads a multidisciplinary team of marketing analysts and researchers, combining marketing analytics, market research, advanced analytics, and performance insights. Oversees data infrastructure, SQL development, pipelines, APIs, ELT/ETL tools, Snowflake, and Tableau dashboards. Guides predictive modeling, segmentation, research methodology, AI experimentation, data governance, and client presentations. Develops team capabilities, workflows, and standards while translating complex data into actionable marketing and business recommendations.

Develops, analyzes, validates, and documents quantitative financial and mortgage risk models covering credit, market, operational, default, valuation, prepayment, and loan-scoring risks. Interprets model outputs, performs portfolio risk assessments, researches alternative methodologies, and provides technical expertise and innovative solutions to business and risk teams. Requires advanced quantitative education, financial modeling expertise, programming in SQL, SAS, R, and Matlab, and experience with large datasets.

Manage end-to-end polling operations, including questionnaire programming, sample selection, survey monitoring, data weighting, quality control, and client deliverables. Collaborate with project, data science, and polling teams on experiments, methodologies, and analytics surveys. Improve polling processes, coordinate vendors, analyze survey data under tight deadlines, and support strategic recommendations for clients.

Serve as an analytics subject matter expert guiding internal and external clients through business strategy discussions. Conduct discovery meetings, identify data analytics opportunities, design analytic solutions and proposals, communicate solution designs, and implement Decision Sciences products and services. The role requires expertise in data analysis, statistical modeling, consulting, business insights, and client presentations.

Direct advanced analytics for a marketing agency, leading a team that develops statistical models, marketing mix models, attribution algorithms, campaign tests, and ROI analyses. Manage client engagements, mentor analysts, improve analytical methodologies, productionize models, and collaborate with business intelligence and data engineering teams. Translate complex technical findings into actionable business recommendations while supporting media optimization and marketing effectiveness initiatives.

Analyzes healthcare claims, provider, reimbursement, and financial data to support out-of-network dispute negotiations, arbitration, QPA accuracy, and IDR performance. Builds SQL-based reports, dashboards, data processes, metrics, and financial views; validates data quality; integrates internal and external sources; identifies trends and risks; and presents actionable recommendations to leadership and cross-functional stakeholders.

Leads analytics delivery across multiple clients, combining marketing data to evaluate performance, optimize investments, and inform growth decisions. Designs and implements advanced measurement approaches including attribution, incrementality testing, experimentation, and full-funnel measurement. Develops measurement frameworks, communicates insights to clients and senior stakeholders, partners with technical and marketing teams, supports new business, and mentors junior analysts.

Lead a team of analysts delivering strategic analytics and business intelligence solutions. Establish data quality, governance, documentation, KPI, and reporting standards; oversee reconciliation and complex analyses; guide visualization and analytics practices; evaluate tools and automation opportunities; manage the team roadmap and performance metrics; and coach analysts while partnering with executives and stakeholders.

Own end-to-end product and customer analytics across financial product experiences. Define meaningful metrics, analyze complex datasets with SQL, connect customer behavior to business outcomes, and translate qualitative feedback into product insights. Partner with product, engineering, research, data science, and CX teams to influence roadmaps and senior leadership decisions. Use AI tools such as Cursor and Claude to accelerate analysis and automate workflows.

Analyzes warranty, connected-vehicle, diagnostic, and quality data to identify defect trends, support root-cause investigations, and recommend corrective actions. Builds automated data pipelines, anomaly detection workflows, dashboards, trend reports, and AI/NLP-enabled analytics tools. Partners with engineering and quality teams, applies Six Sigma, 8D, and DMAIC methods, documents analytics practices, and coaches quality engineers on data-driven methods.

Provides actuarial leadership for AI-enabled disability claims models across LTD and STD claim lifecycles. Designs, validates, calibrates, monitors, and interprets models; connects outputs to loss ratios, reserves, claim duration, return-to-work outcomes, and intervention effectiveness. Partners with claims, data science, technology, finance, and vendors on model governance, deployment, reporting, and operational adoption. Communicates model performance, limitations, financial impact, and recommendations to technical and business leaders.

Support analytics initiatives by gathering, cleaning, modeling, and analyzing data. Produce forecasts, reports, and visualizations, document data and processes, and present actionable insights to influence leadership decisions while improving data quality and management.

Analyze claims data to identify trends, root causes, and improvement opportunities. Develop KPIs, dashboards, reports, and actionable recommendations to improve claims efficiency, performance, and customer satisfaction. Ensure analytical accuracy and data quality while collaborating with claims teams, business partners, and executive leadership. Support performance-improvement strategies, process enhancements, and data transparency initiatives.

Leads strategic insights and advanced analytics for Coca-Cola’s North America Operating Unit. Translates complex business questions, consumer and market data, and analytical findings into executive-ready recommendations. Owns analytical workstreams, integrates diverse datasets, evaluates data providers and tools, applies forecasting and AI-enabled capabilities, and influences cross-functional decisions through data storytelling, scenario analysis, and business intelligence.

The Senior Analyst will lead digital measurement analytics for emerging payments platforms, including data collection, validation, reporting, and feature performance measurement. Responsibilities include partnering with marketing, technology, digital, and analytics stakeholders; delivering accurate, compliant projects; communicating insights; supporting strategic priorities; and developing analytics roadmaps. The role requires hands-on problem solving, visualization, web analytics, and collaboration across Agile teams.

Intern applies technical and analytical skills through assignments in data analytics, data engineering, data management, data science, digital banking, or financial crimes. Responsibilities include research, administrative work, meetings, project assistance, technical training, and professional development. The role is full-time onsite in Hoover, Alabama, for approximately 10–11 weeks.