Top Senior Analytics Jobs

Lead media research, campaign measurement, and analytics supporting sales, marketing, product, and client leadership. Develop audience analyses, benchmarks, case studies, surveys, and market insights; manage measurement vendors; shape advertising measurement capabilities; and serve as the senior client contact for research discussions. Establish analytical rigor, validate methodologies, document assumptions, and design AI-enabled workflows for client measurement challenges.

Own enterprise analytics audits, implementations, data quality, attribution, segmentation, SQL analysis, BI dashboards, experimentation measurement, and client reporting. Serve as the senior analytics partner for major accounts, present insights to executives, train client and internal teams, and help define analytics and experimentation services. The role requires hands-on Adobe expertise, autonomous prioritization, technical collaboration, and the ability to connect organic and AI search performance to pipeline and revenue.

Leads category strategy and analytics across multiple consumer brands by analyzing market, shopper, competitive, channel, and customer performance. Develops business reporting, identifies growth opportunities, supports strategic projects, answers senior leadership questions, and drives cross-functional consensus. Partners with sales, marketing, finance, operations, demand planning, consumer insights, and data science teams while coaching analytics team members and leading omnichannel initiatives.

Leads category strategy and analytics for multiple consumer brands by analyzing market, shopper, category, competitive, channel, and customer performance. The role identifies growth opportunities, develops business reporting, answers senior leadership questions, drives cross-functional projects, and informs brand strategy. It also coaches analytics team members and leads omnichannel analytics initiatives while partnering with sales, marketing, finance, operations, demand planning, consumer insights, and data science teams.

Analyze user behavior data and produce reports using advanced Google Analytics configuration, Google Tag Manager, R, and visualization tools. Aggregate data from e-commerce and marketing automation platforms, including Drupal-based sites, and collaborate with technology, product, and marketing teams to apply analytics toward business challenges.

Develop and deploy fraud detection models using analytics and machine learning, monitor real-time transactions, investigate incidents, design dashboards and reports, collaborate with IT and security, ensure regulatory compliance, and recommend preventive measures against payment and e-commerce fraud.

The role involves collaborating with business users on analytics, processing data, and applying statistical methods to analyze large datasets and present insights.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Analytics Manager partnering with sports clubs and leagues to identify high-value analytics opportunities, translate business needs into analytical solutions, and deliver actionable insights. Responsibilities include SQL-based analysis of complex datasets, Python/Pandas analysis and modeling, defining success metrics, collaborating with data science teams, validating outputs, and presenting executive-ready recommendations. The role requires strong sports business knowledge, stakeholder management, business acumen, and the ability to work independently in ambiguous environments.

Leads the Bank’s mortgage analytics and insights organization, overseeing managers and analysts who evaluate MPF and residential mortgage portfolios. Provides strategic analysis of portfolio performance, credit and market risks, mortgage trends, and regulatory developments. Advises senior leaders, regulators, rating agencies, and the Board; oversees reporting, regulatory submissions, advanced analytics, AI, automation, and process improvements. Responsible for organizational design, talent development, performance management, succession planning, and executive communication.

Leads an analytics team delivering actionable insights, forecasting, statistical analysis, reporting automation, visualization, and client-focused tools. Oversees analysts, develops team talent, enhances databases and analytical processes, manages client and vendor relationships, and presents recommendations to executives. The role requires advanced Excel, business intelligence, data mining, statistical modeling, cross-functional collaboration, and strategic leadership, with health insurance analytics experience preferred.

Develops reporting, analytical tools, and data solutions that support strategic decisions, revenue growth, and operational efficiency. Partners with Customer, Marketing, and Digital teams to analyze customer behavior, identify trends, validate data, and translate complex findings into actionable recommendations for executives and business leaders. Leads cross-functional analytics initiatives, improves processes and methodologies, supports user adoption, and mentors junior analysts.

Lead quantitative research and analytics for political and commercial clients: design experiments and surveys, manage RCTs and statistical modeling, generate strategic insights, oversee a team of data scientists and analysts, and deliver client-facing recommendations.

The Fraud Analytics SME analyzes fraud detection patterns, guides teams in detecting fraud schemes, validates analytical outputs, and supports operational reviews and discussions.

The Senior Group Director of Growth Analytics drives strategies for multi-platform growth, manages analytics teams, and develops measurement plans for clients.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.

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.

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.

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.

Own marketing analytics, attribution modeling, full-funnel measurement, forecasting, experimentation, and ROI optimization across campaigns, partners, and field marketing. Build Tableau dashboards, ensure martech data quality, implement AI/ML predictive capabilities, and translate complex data into strategic recommendations for marketing leadership. Partner cross-functionally on performance narratives, QBRs, and budget planning while mentoring junior analysts and establishing analytics best practices.

Leads advanced Revenue Growth Management analytics, complex business problem solving, next-generation capability development, AI use-case implementation, strategic projects, and organizational training. Partners with Advanced Analytics and Data Science teams to build scalable tools, translate RGM methodologies into solutions, and generate actionable insights across brand, trade, pricing, and commercial initiatives. Manages three direct reports and supports enterprise-wide analytical capability building.

Supports Revenue Growth Management through ad hoc analysis, pricing and promotion projects, analytical tool development, and maintenance. Builds Excel and Power BI capabilities, contributes to Next Gen RGM solutions, and supports AI integration into business processes. Partners with brand and commercial teams to generate actionable insights, improve efficiency, and inform strategic decisions.

Own supplier-side pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build scoring models, predictive machine learning models, dashboards, category and keyword data models, cohort analyses, and A/B tests. Partner with general management, product, operations, engineering, sales, finance, and customer success to translate marketplace insights into pricing, revenue, retention, and supplier engagement decisions.