Top Analytics Jobs

Lead end-to-end analytics for major platform partnerships, identifying growth opportunities and informing product, investment, risk, and pricing decisions. Conduct complex analyses, design experiments, build scalable data models, metrics, dashboards, and AI-assisted workflows, and translate findings into business recommendations. Partner cross-functionally with Product, Engineering, Finance, Revenue, and Strategic Partnerships while mentoring analysts and improving analytical practices.

Designs transaction-tagging frameworks for payments data, defines metrics, sources and validates data, develops SQL queries and reporting, and delivers analyses supporting customer engagement and product outcomes. Partners with product owners and stakeholders to align tagging approaches, monitor performance, and communicate findings. Requires quantitative education, 2+ years of ETL and visualization experience, strong SQL and Snowflake skills, and experience developing agentic workflows.

Leads a marketing analytics team, oversees campaign performance analysis, and delivers actionable insights for optimization. Partners with stakeholders and senior leaders, directs statistical modeling and experimentation, manages complex datasets, and guides in-flight and post-campaign reporting. The role also allocates resources, improves analytical systems and processes, mentors talent, and supports data-driven marketing strategy and customer growth.

Leads a marketing analytics team that evaluates campaign performance, develops statistical models and experiments, delivers in-flight and post-campaign insights, and advises stakeholders on optimization strategies. Manages analytics initiatives, resources, data-driven research, and talent development while identifying improvements to data systems and business processes. The role requires translating complex findings into actionable recommendations and overseeing analysis of large structured and unstructured datasets.

Leads end-to-end people analytics projects, translating HR and business priorities into metrics, statistical analyses, visualizations, and executive recommendations. Partners with HR leaders, product teams, machine learning scientists, and data engineers to improve organizational insights, data quality, analytics products, and self-service capabilities. Designs employee listening programs, delivers data-literacy coaching, manages analytics intake, supports product development, and advances analytical practices across the People Analytics team.

Lead workforce capacity modeling and staffing projections for a 7,000-person organization. Develop dashboards and analytics using Sigma and Tableau, analyze data with SQL and Python, automate modeling processes, and deliver insights on staffing models and volume forecasts. Partner with Finance & Business Management and Client Onboarding & Service leaders on strategic initiatives, reporting, process improvements, and decision-making.

Leads healthcare analytics and payment integrity initiatives, using claims data, statistical analysis, BI tools, and dashboards to identify cost savings and improve client outcomes. Defines data and product requirements, validates solutions, presents insights to leadership, influences stakeholders, monitors market trends, and mentors analysts. Serves as a subject matter expert in medical claims, pricing, coding, and cost management while coordinating cross-functional projects.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

Support end-to-end payments analytics by analyzing financial and transaction data, identifying financial, credit, fraud, and reputational risks, developing analytical frameworks and dashboards, maintaining health checks, explaining profit and loss, monitoring strategy discrepancies, and reporting performance metrics. Collaborate with business teams and senior management to identify opportunities, develop risk strategies, remediate data gaps, and maintain audit-ready controls within regulatory guidelines and risk appetite thresholds.

Leads insights and analytics for the Savory category, integrating syndicated, internal, external, consumer, shopper, and competitive data. Diagnoses business performance, identifies growth opportunities, guides research and advanced analytics, and translates findings into actionable category and brand strategies. Partners with marketing, sales, and customer teams, influences senior leadership, leads business reviews, and manages a team of insights and analytics professionals.

Supports data analysis projects in PwC’s Advisory practice, researching datasets, identifying patterns, integrating data, and creating dashboards and visualizations with Alteryx and Power BI. Assists with algorithm development, analytics automation, and data-driven insights for clients. The internship emphasizes learning PwC methodologies, collaborating with experienced professionals, and gaining exposure to AI, cloud platform design, and data architecture.

Supports client-facing diligence analytics projects by gathering, integrating, and analyzing data; developing data-driven insights; creating dashboards and reports; conducting research and data mining; contributing to algorithm development; and preparing presentations. The intern uses Alteryx and Power BI, collaborates with advisory teams, and gains exposure to cloud platforms, data architecture, data science, and AI applications.

Supports business analysis and data analytics projects within PwC’s Assurance practice. Responsibilities include researching business challenges, identifying process optimization opportunities, analyzing requirements, developing business cases, modeling processes, supporting audit compliance, and creating actionable insights. The intern collaborates with stakeholders, assists with project management and client interactions, and learns professional business analysis practices while contributing to data-driven decision-making.

Provides analytics-driven advisory support for mergers, acquisitions, and other business transactions. Analyzes contract data to identify risks, obligations, performance insights, and compliance indicators; develops algorithms, data models, pipelines, visualizations, and machine learning solutions. Integrates multiple data sources, validates data integrity and security, communicates findings to clients, and mentors junior team members.

Lead digital analytics efforts to define OKRs, run A/B tests, analyze digital customer behavior, and deliver actionable insights to product, tech, and design partners to improve engagement and customer satisfaction.

This co-op develops analytical solutions for fulfillment performance reporting. Responsibilities include understanding fulfillment processes, consulting on data pipelines, developing data models and dashboards, analyzing trends, and providing insights and recommendations. The role collaborates with product managers, visualization analysts, data scientists, IT, technical teams, and fulfillment operations.

Collaborate with product managers, analysts, data scientists, IT, technical teams, and fulfillment teams to develop analytics solutions. Analyze fulfillment processes and data, consult on data pipelines, build data models and dashboards, and provide reporting to help fulfillment and brand operations teams improve performance and decision-making.

Analyze large datasets to identify digital fraud trends, develop loss-reduction strategies and business rules, automate fraud alert processes, monitor emerging risks, and present actionable insights to senior leadership. Collaborate with technical and business teams on fraud-fighting products, apply experimentation and machine learning, manage financial impacts, and improve customer experience across digital payment channels.

Manage point-of-sale fraud strategies and conduct complex risk analyses to reduce losses while balancing customer impact. Responsibilities include developing fraud rules and policies, identifying risk indicators, enhancing reporting, testing mitigation processes, leading strategy initiatives end-to-end, analyzing large datasets, and presenting recommendations to management. The role collaborates with Operations, IT, Risk Management, and other cross-functional partners to improve fraud detection and customer experience.

Leads product analytics across core product, hardware, and algorithms while managing and developing analysts. Partners with cross-functional teams to define KPIs, evaluate experiments, analyze member behavior and product performance, build scalable analytics processes, and influence product strategy through actionable insights. The role requires hands-on analysis, advanced SQL, data warehousing expertise, strong storytelling, and the ability to guide senior stakeholders and technical teams.

Provides analytical support for affluent consumer deposit products through data mining, SQL and GCP querying, reporting, dashboard development, research, and strategic analysis. Builds business cases, maintains data processes, supports risk and compliance initiatives, and identifies engineering enhancements. Leads cross-group projects, mentors junior staff, and delivers insights using SAS, Excel, Tableau, and Power BI.

Provides strategic analysis, reporting, data mining, dashboards, and analytical support for affluent consumer deposit products. Queries GCP and other data sources, develops data processes and workflows, builds business cases, and delivers insights supporting product, risk, compliance, and strategic initiatives. The role also involves moderately complex research and analysis, cross-group project participation, mentoring junior staff, and collaboration with internal and external stakeholders.

Provides strategic analytics and data support for affluent consumer deposit products. Responsibilities include querying GCP and other data sources, building datasets, developing dashboards and reports with SQL, SAS, Excel, Tableau, and Power BI, performing research and ad hoc analysis, creating business cases, maintaining data processes, supporting risk and compliance initiatives, and leading projects while mentoring junior staff.

Conduct independent, high-complexity analytics for Liberty Mutual’s Embedded Channel. Apply advanced statistics, predictive modeling, A/B testing, and diverse data sources to optimize funnels, questionnaires, and underwriting defaults. Build analytical tools, manage complex research projects, synthesize findings into actionable recommendations, and present insights to senior leadership to improve profitability, growth, and customer satisfaction.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.