Top Senior Analytics Jobs

The Senior Data Analyst will support game studios and Call of Duty Live Services by analyzing gameplay, player engagement, monetization, and core game systems. Responsibilities include developing reports, optimizing game features and in-game economies, driving cross-functional analytics initiatives, and presenting actionable insights to technical and non-technical stakeholders. The role requires strong data analysis, visualization, communication, and stakeholder-management skills, with a focus on improving player experience and commercial outcomes.

Lead data analytics strategy, mine and analyze large-scale datasets, build and validate models, improve reporting and operational processes, evaluate products and marketing initiatives, and consult on data systems. Manage and mentor junior analysts, collaborate across business units, oversee concurrent projects, and apply business intelligence tools to support customer experience and organizational decision-making.

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.

Provides technical and analytical leadership for large-scale healthcare analytics solutions. Leads claims and clinical data analysis, patient journey modeling, segmentation, cohort identification, risk adjustment, and statistical modeling using SQL, Python, Spark, and Databricks. Transforms fragmented datasets into reusable analytical assets, establishes data quality and documentation standards, and partners with consulting, product, engineering, and data science teams to operationalize scalable solutions. Mentors colleagues and manages concurrent technical workstreams from design through delivery.

Analyze customer behavior, segmentation, clickstream data, attribution, and marketing campaign performance. Design A/B tests, apply statistical modeling using SQL, Python, and SAS, and develop automated Tableau dashboards and reporting. Provide actionable insights to improve customer acquisition, retention, engagement, and marketing ROI.

Lead and develop Stripe’s Marketing Analytics team, setting its strategy and roadmap while delivering rigorous analysis, measurement frameworks, data products, and actionable insights to Marketing leaders. Partner cross-functionally on investment planning, attribution, and success metrics; improve data capabilities, dashboards, automation, and team processes; and coach analysts to deliver high-quality analytical solutions.

Owns marketing measurement, KPIs, attribution, dashboards, and reporting standards. Evaluates campaign performance, recommends budget and channel changes, leads personalization analytics and experimentation, ensures marketing data quality, and presents actionable insights to senior leadership. Partners with marketing, media, ecommerce, finance, web development, SEO, and data engineering teams.

Analyze personal loan product performance, customer behavior, funnel conversion, campaigns, and key performance metrics. Design measurement frameworks, identify tracking gaps, conduct root cause analysis, develop A/B tests, support analytics infrastructure, and create dashboards. Partner with Product, Engineering, Data Science, and Business teams to translate insights into product improvements and increased origination volume.

The Analytics Business Partner works directly with leaders to diagnose business performance, define and govern metrics, build end-to-end analytics, and translate findings into decisions. Responsibilities include owning the analytics roadmap, validating data, improving data quality across ERP, HR, and CRM systems, partnering on dbt models, running leadership reporting, and training users. The role requires strong SQL, Tableau, AI-tool experience, consultative communication, and the ability to work with multiple data sources. It is fully remote in the U.S. with up to 20% travel.

Analyze business performance and develop data-driven insights for the U.S. Small and Medium Enterprise business line. Use Python, SQL, data mining, and statistical modeling to define success metrics, track KPIs, identify growth opportunities, and optimize processes. Lead cross-functional projects from conception through rollout while partnering with Sales, Marketing, Product, Finance, and governance teams. Communicate findings, drive alignment, and support strategic and day-to-day business decisions.

Leads enterprise data strategy and analytics initiatives, partnering with product teams to modernize data platforms, build data lineages, develop analytical frameworks, and deliver reporting and visualization solutions. Performs complex analysis of financial data using SQL and Python, applies statistical methodologies, supports ETL and data quality processes, advises senior leadership, responds to stakeholder requests, and mentors junior analysts.

Serves as a global People Analytics consultant, providing advanced statistical analysis, predictive modeling, data mining, dashboards, and HR insights. Partners with HR and business leaders to solve complex workforce questions, improve analytics systems and data quality, develop attrition and recruiting models, and deliver recommendations. Maintains analytical datasets, supports Workday, Alteryx, AWS, Tableau, and Excel solutions, and provides platform training and technical support.

Leads and scales the analytics function, managing analysts while partnering with Product, Marketing, Finance, and Operations. Establishes data governance, prioritization frameworks, and company KPIs; develops predictive models, experimentation and attribution frameworks; and delivers executive insights. Collaborates with Data Engineering on analytics architecture and remains hands-on with SQL, modeling, and modern data tools.

Leads Bloom Ads’ analytics, data operations, media intelligence, and measurement capabilities. The role oversees marketing mix modeling, attribution, experimentation, forecasting, customer analytics, data governance, campaign activation, and executive reporting. It manages and mentors analytics professionals, builds scalable measurement frameworks, advises clients and agency leadership, translates technical findings into media recommendations, and partners with media, technology, and data teams to improve campaign performance and business outcomes.

Leads marketing analytics strategy, statistical modeling, marketing mix modeling, attribution, campaign measurement, and ROI analysis. Manages and mentors analysts while developing scalable analytical frameworks and automated data processes. Partners with clients, media teams, account teams, and vendors to translate business challenges into actionable insights. Requires hands-on programming in Python and R, SQL expertise, advertising-platform knowledge, and experience managing analytics engagements in agency or consulting environments.

Leads data analytics and insights for B2C marketing initiatives. Builds data strategies, identifies audiences, defines KPIs, develops benchmarks, analyzes digital behavior, measures campaign effectiveness, and optimizes marketing across channels. Partners with marketing, analytics, and business stakeholders to create experiments, translate complex datasets into actionable insights, and communicate data narratives through presentations and visualizations.

Leads fraud analytics, modeling, reporting, and strategy development for credit card and retail banking businesses. Identifies fraud trends, manages fraud rules and detection strategies, designs mitigation approaches, analyzes process gaps, and partners cross-functionally to execute priorities. Mentors junior team members and may manage staff while communicating analytical insights and recommendations to stakeholders.

Analyze complex banking and client datasets to identify trends, opportunities, and actionable insights. Partner with cross-functional teams, develop analytical frameworks and metrics, create executive-ready recommendations, improve analytics through automation, and ensure data quality. The role also mentors and oversees a junior team member while supporting strategic decisions for Morgan Stanley’s U.S. Banks.

Investigate and triage data-quality, freshness, and pipeline issues across governed sales data products. Validate models and migrations through row-level, column-level, and parity checks; monitor dbt tests, source freshness, and observability alerts; support UAT and hypercare; verify fixes in Snowflake; and document definitions and known issues. The role offers a structured path from data operations and support into data engineering, including model development, testing, and ownership of data products.

Leads marketing and enrollment analytics across acquisition and conversion funnels. Analyzes channel performance, ROI, attribution, forecasting, experimentation, and marketing mix modeling; develops recommendations for budget allocation and performance improvement. Uses Power BI, SQL, Python or R, and institutional and marketing datasets to build models, automate monitoring, identify anomalies, and support cross-functional decisions. Owns marketing measurement standards, data quality, tracking, and analytical roadmap while partnering with Marketing, Enrollment, Field, and Institutional Analytics teams.

Leads risk analytics projects and teams for property and casualty reinsurance. Oversees advanced statistical and machine learning model development, validation, deployment, and adoption in underwriting. Partners with data scientists, engineers, actuaries, underwriters, claims, legal, and external data providers. Generates analytical opportunities, supports pricing, communicates complex findings, and promotes innovation across the actuarial organization.

Develop global engagement strategies for Crunchyroll’s streaming platform using consumer behavior, audience segmentation, experimentation, and analytics. Analyze viewing journeys, engagement barriers, churn signals, and lifecycle interventions. Build measurement frameworks, define success metrics, evaluate A/B tests, and identify strategies that strengthen viewing habits and retention. Partner with Product, Data Science, Lifecycle, Curation, and Consumer Insights teams to translate complex behavioral data into executive-level recommendations and prioritized initiatives.

Leads pricing and monetization analytics, measuring initiative impact and identifying growth opportunities. Defines performance metrics, builds dashboards and automated reporting, and creates frameworks for Corporate Strategy priorities. Partners with pricing, product, sales, deal desk, and field teams to provide actionable insights and operational enablement. Uses statistical analysis, AI tools, and data-driven guidance to improve decision-making and scale best practices.

Leads Customer Success analytics strategy, executive business reviews, customer experience and voice-of-customer insights, enablement impact measurement, and data foundation development. Manages two analysts, partners with data engineering and data science, applies statistical and experimental methods, analyzes structured and unstructured customer data, and uses AI tooling to improve self-service and recurring analytics. Translates ambiguous business questions into actionable recommendations for senior leaders.

Supports email and broader marketing analytics through data collection, campaign measurement, reporting, dashboards, statistical analysis, visualization, and optimization recommendations. Partners with marketing teams to translate customer and campaign data into actionable insights. Responsibilities include developing analytical models, conducting qualitative and quantitative research, documenting requirements, supporting implementation, and improving marketing processes and decision-making.