Top Senior Analytics Jobs

Leads digital analytics for Ford Pro Digital Product, translating stakeholder questions into measurement plans, KPIs, advanced journey analyses, dashboards, and actionable recommendations. The role uses SQL and digital analytics platforms to integrate behavioral, customer, transaction, and enterprise data. It also develops reusable analytical methods, automation, and AI-enabled workflows, partners with cross-functional teams, and presents findings to technical and executive audiences.

Own product analytics for Double Good, measuring feature adoption, engagement, completion, and conversion. Design and evaluate experiments, define product metrics and event instrumentation, analyze funnels, cohorts, paths, and segments, forecast product impact, and identify user friction. Partner with Product, Design, Engineering, BI, and Data Science to prioritize opportunities, maintain dashboards, deliver actionable recommendations, and influence the product roadmap through rigorous data analysis.

Lead fraud detection analytics focused on account takeovers, scams, organized fraud rings, and coordinated attacks. Analyze large-scale datasets using Python and SQL, evaluate vendor and internal detection tools, support anomaly detection, and help develop fraud models, dashboards, and reporting. Communicate actionable insights to technical and business stakeholders while improving fraud prevention strategies and operational effectiveness.

Analyze employee, survey, HRIS, and behavioral data to deliver insights on engagement, retention, performance, and organizational health. Partner with business leaders and HR teams as an analytics consultant, build dashboards and repeatable analyses, interpret employee listening results, and communicate recommendations through clear narratives and visualizations. Support scalable self-service reporting and improve measurement of employee experience.

Lead marketing analytics for credit card businesses, translating customer, campaign, digital engagement, segmentation, and targeting data into strategic insights. Build scalable data solutions and models using multiple sources, improve data quality, and communicate recommendations to senior leaders. Partner cross-functionally to define marketing problems, guide implementation, and establish analytics best practices that influence investment decisions and customer experiences.

Analyze complex data, build self-service data solutions, and develop business intelligence tools, metrics, dashboards, and visualizations. Partner with business and technology teams to deliver strategic insights, manage data quality, metadata, lineage, definitions, security, and access governance. The role requires scripting, data querying, Snowflake development, business intelligence visualization, and experience with data management and governance.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

Leads predictive media measurement across digital and traditional channels, building marketing mix, attribution, incrementality, and forecasting models. Owns KPIs, dashboards, signal detection, audience and creative effectiveness, brand health, and ambassador evaluation. Translates complex analytics into recommendations that optimize media allocation and marketing performance. Partners with agencies, marketing, brand, data, and engineering teams; mentors junior analysts and drives data-informed decisions across global markets.

Analyze sales, marketing, and customer success performance, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and marts using Salesforce and modern data-stack tools, while owning data quality and documentation. Contribute to Lighthouse, a BI-as-code platform, and develop AI-assisted analytics workflows. Partner with stakeholders to frame ambiguous questions, deliver recommendations, and communicate progress in two-week sprints.

Conduct quantitative research and pricing analytics for credit card installment products. Apply statistical modeling, econometrics, hypothesis testing, causal inference, and experimentation to evaluate pricing strategies, customer behavior, profitability, and policy effectiveness. Build scalable analytics processes, communicate insights to senior stakeholders, and partner with Finance and Marketing. Lead and develop analytics talent while evaluating responsible applications of artificial intelligence and automation.

Lead digital marketing analytics strategy through quantitative research, experimentation, customer behavior analysis, and campaign measurement. Build and manage a high-performing analytics team, develop scalable processes, partner with Marketing, Finance, Product, and Technology, and translate complex findings into business actions. Apply statistical, causal, econometric, and experimental methods while evaluating responsible uses of AI and automation to improve marketing optimization and decision-making.

Design and maintain Python-based analytics frameworks for KYC quality assurance testing, statistical sampling, validation, and workflow automation. Integrate data from internal systems and APIs, apply statistical and machine learning techniques, identify control gaps, and improve testing efficiency. Document methodologies, assumptions, controls, and limitations for audit and regulatory review. Partner with risk, compliance, operations, and quality assurance stakeholders while communicating analytical findings and methodology decisions clearly.

Lead end-to-end forecasting and offer analytics for the full credit card portfolio. Responsibilities include forecasting optimization, automation framework development, ad hoc analytics and reporting, generative AI applications, process improvement, controls management, compliance certifications, and senior leadership communication. The role partners closely with product, finance, risk, campaign management, marketing, and other cross-functional teams.

Manages a team of 2–3 analysts while remaining hands-on with advanced SQL, dbt models, dashboards, and complex cross-functional analyses. Owns analytics quality, reporting automation, KPI visibility, stakeholder recommendations, and AI enablement for operations. Coaches team members, prioritizes requests, partners with data teams, and presents findings to senior leadership. The role requires strong analytical judgment, technical review skills, stakeholder management, and experience supporting operational functions such as customer support, fraud, payments, and workforce management.

Leads actuarial and analytics initiatives across insurance product lines, applying actuarial, statistical, pricing, reserving, forecasting, and quantitative analysis techniques. Drives data, tool, and process modernization; translates business needs into analytical solutions; provides strategic recommendations; and communicates findings to senior stakeholders. Manages a small team, mentors talent, collaborates across business units, and supports enterprise initiatives and continuous improvement.

Leads complex private banking data management and analytics initiatives, defining data strategies, quality standards, product attributes, and integrated client views. Partners with business, engineering, analytics, AI, and Wealth teams to translate needs into dashboards, KPIs, predictive models, personalized insights, and intelligent decision-making capabilities. Serves as a subject matter expert on private banking products while mentoring junior team members and enabling platform readiness.

Own pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build supplier yield scores, pricing models, dashboards, predictive churn models, cohort analyses, and A/B tests. Partner with product, operations, engineering, sales, finance, and customer success leaders to translate marketplace data into revenue and retention improvements. Develop production machine-learning models and communicate insights to technical and non-technical stakeholders.

Own supplier-side pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build predictive models, dashboards, data models, pricing frameworks, cohort analyses, and A/B tests. Partner with product, operations, engineering, sales, finance, and customer success leaders to identify revenue opportunities, optimize advertising and incentive programs, improve supplier retention, and translate complex marketplace dynamics into actionable business decisions.

Lead enterprise data risk analytics by defining and standardizing metrics, building dashboards and data products, monitoring trends, and delivering actionable insights to executives. Translate data policies into measurement frameworks, automate metric processes with AI, lead cross-functional initiatives, and mentor junior analysts. The role requires substantial data analysis, programming, business intelligence, stakeholder influence, and strategic data management experience.

Lead property data analytics initiatives for NYC’s Department of Finance, including workflow modernization, large-scale statistical analysis, geospatial data integration, reporting automation, web workflow tools, RPIE mapping, and machine learning models for anomaly detection and data validation. Supervise and mentor one staff member while supporting property valuation, quality control, and executive reporting projects.

Leads advanced analytics initiatives supporting sales, marketing, and operations strategy. Develops statistical and predictive models, dashboards, KPI reporting, and customer analyses using large datasets. Partners with stakeholders and data engineering teams to translate business questions into actionable insights, communicates findings to executives, and mentors junior analysts.

Partners with data product owners, technical teams, and business stakeholders to identify data and analytics needs, define requirements, create user stories and acceptance criteria, and support backlog prioritization. Manages analytics support requests, investigates recurring issues and root causes, maintains legacy-report inventories, and recommends modernization and data-quality improvements. Supports adoption through documentation, training, communications, and outcome measurement while helping transition users to governed data products and self-service technologies.

Implements and validates digital analytics tracking across web properties using Adobe and Google analytics platforms and tag managers. Develops and troubleshoots tags, events, and tracking code; documents requirements; supports quality assurance; conducts A/B testing and personalization; analyzes complex customer data; and builds dashboards and datasets. Partners with business, product, and development teams to resolve data issues and deliver actionable insights.

Leads advanced analytics for Airbnb’s Community Blueprint Quality team. Responsibilities include diagnosing customer experience issues, designing experiments, applying causal inference, developing metrics, using LLMs to analyze unstructured data, building dashboards and analytical artifacts, and translating complex findings into recommendations for senior leadership. The role partners cross-functionally with Product, Engineering, Data Science, Data Engineering, Operations, and Finance.

Leads regional data analytics delivery for Global Business Services, including advanced analysis, reporting, dashboards, KPI frameworks, data governance, and executive decision support. Provides indirect leadership to analysts, establishes analytical standards, supports procurement and sourcing initiatives, evaluates supplier proposals, drives automation and continuous improvement, manages third-party analytics platforms, and develops training to improve adoption and analytics maturity.