Top Senior Analytics Jobs

Design and implement forecasting and automation solutions for finance. Translate business requirements into development-ready artifacts, collaborate with stakeholders and engineering, monitor solution performance, and document progress in JIRA.

Support home lending risk strategy by performing data-driven analyses, identifying trends, monitoring emerging housing and regulatory risks, and delivering clear recommendations and visualizations. Partner with Risk Policy, Product Strategy, and cross-functional teams to design risk segmentation, controls, and performance monitoring to align growth with the firms risk appetite.

Perform advanced quantitative analyses on large card portfolio datasets to inform marketing, product, finance, and risk decisions. Build executive dashboards and reports, apply data mining and statistical techniques, translate customer behavior into actionable insights, partner with stakeholders to optimize campaigns and portfolio profitability, and contribute to analytics architecture and process improvements with limited oversight.

Lead pricing analytics for merchant/platform deals and international market expansion. Define pricing strategy, run economic analyses, design and test pricing constructs, and collaborate with product, partnerships, credit, finance, capital markets, and engineering to optimize portfolio performance.

Lead analytics strategy and decision support across Product, Growth, Revenue, Operations, and Finance. Perform deep-dive analyses, design experiments, build predictive models and ML/AI prototypes, create trusted reporting and dashboards, ensure data quality, automate workflows, and partner with stakeholders to drive measurable business outcomes. Act as a primary analytics partner, prioritize work, communicate recommendations, and mentor analysts informally.

Lead quantitative analyses to design, implement, and evaluate Medicare and Medicaid payment models. Query large claims/enrollment datasets, build payment calculations, financial and quality metrics, and apply ML/econometric/predictive models. Mentor staff, write reproducible code and documentation, develop client relationships, perform rapid ad-hoc analyses, and help integrate AI into technical workflows.

As a Sr Associate in Fraud Analytics, you'll analyze data, develop fraud rules, implement models, and collaborate with stakeholders to mitigate fraud losses.

Analyze manufacturing, test, telemetry, warranty, field-return, and failure-analysis data to identify hardware quality trends and emerging issues. Build statistical analyses, dashboards, monitoring indicators, and automated reporting. Connect product performance to manufacturing processes, components, and test results; support failure investigations and corrective actions. Partner with hardware, manufacturing, quality, reliability, firmware, data engineering, and data science teams to resolve data gaps and communicate actionable recommendations.

Leads advanced analytics initiatives for seller risk and performance, developing complex data models, algorithms, predictive insights, and visualizations. Partners with executives and cross-functional teams to align analytics with business priorities, presents actionable recommendations, oversees data analysis projects, manages strategic partnerships, and mentors analytics professionals. The role requires strong leadership, statistical modeling expertise, programming proficiency in Python and SQL, and the ability to influence data-driven business decisions.

Lead analytics strategy across eCommerce, content, advertising, and live events. Partner with executives to turn complex data into actionable business recommendations, identify opportunities and risks, shape the analytics roadmap, and guide data investments. Manage and develop a team of three analysts while using AI, automation, scripting, statistical analysis, and BI tools to accelerate decision-making and improve business outcomes.

Analyze and organize healthcare supply purchase and contracting data to identify gaps, validate accuracy, apply contract and benchmark information, and produce customized client reporting. Translate findings into clear, data-driven insights, support purchasing and contracting decisions, manage project schedules and data requests, and collaborate with internal and external partners while developing category and industry expertise.

Manage execution, testing, validation, and monitoring of pricing changes in Auto financing systems (CPE and LAZER). Act as liaison between Technology, Pricing, and Finance teams, develop requirements and test plans, run simulations, document results, support system upgrades/disaster recovery, and perform ad hoc portfolio performance and exception analysis.

Lead strategic revenue cycle analyses to diagnose patient billing and collections performance, quantify ROI and value, build executive-ready recommendations and playbooks, partner cross-functionally, and mentor teammates to drive scalable, data-driven improvements.

Manage and grow Ashby’s data analytics team while remaining hands-on with analytical work. The role includes hiring and coaching analysts, improving data practices, prioritizing requests, developing specialization, maintaining analytical quality, and guiding responsible AI adoption. The manager will work across raw and modeled data, dbt models, metric definitions, dashboards, and internal data products, partnering closely with business teams in a remote, high-growth B2B SaaS environment.

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.

Lead analytical support for performance marketing by evaluating CAC, ROAS, LTV, conversion, retention, and acquisition efficiency. Conduct deep-dive analyses, experimentation, incrementality studies, and marketing measurement using SQL, Python, and visualization tools. Build scalable reporting frameworks, improve data quality, communicate insights to senior stakeholders, influence channel and budget decisions, and mentor junior analysts.

Leads advanced analytics for wireless offer performance and investment efficiency. Analyzes diverse data sources, evaluates profitability, customer quality, spend, growth, and forecast accuracy, and applies statistical, predictive, trend, and scenario modeling. Develops test-and-learn frameworks, dashboards, scorecards, and executive insights. Partners with Offer Strategy, Finance, Marketing, and leadership to guide offer design, targeting, pricing, budget allocation, forecasting, OEM negotiations, and investment decisions.

Lead growth analytics for Zendesk’s product-led growth motion, guiding a team of analysts and partnering with Product, Engineering, Sales, Marketing, and Data teams. Define funnel metrics, measurement plans, experiments, and instrumentation across acquisition, activation, conversion, retention, and expansion. Analyze customer behavior using segmentation, cohorts, funnels, experimentation, and statistical methods. Improve self-service reporting, dashboards, metric definitions, reusable datasets, and analytics capabilities while coaching analysts and influencing senior stakeholders.

Provides technical leadership for engineering analytics within the Analytics Cloud Platform. Translates engineering and business challenges into analytics use cases, supports fleet risk assessment, root cause analysis, design validation, and maintenance decisions, and recommends best practices. Collaborates across engineering, service, and analytics teams, evaluates complex technical issues and data quality, leads small-to-medium projects, communicates recommendations, and drives continuous improvement using Lean principles.

Leads fraud strategy through trend analysis, root-cause investigation, mitigation recommendations, and fraud-control optimization. Manages and mentors 2–5 fraud analysts, evaluates detection tools and data sources, monitors performance metrics, and communicates risk insights to leadership. Partners with Operations, Compliance, Credit, and Product teams to implement compliant fraud strategies and reduce losses while supporting growth.

The Staff Data Scientist will drive data-informed monetization strategies across subscriptions, advertising, and virtual currencies, collaborating with product and engineering teams and defining success metrics.

The Sr. Data Analyst will utilize industry knowledge to analyze data, develop solutions, and support customers globally, focusing on delivering high-quality IT services.

Lead the analytics function and Strategic Insights Analysts, owning the analytics roadmap, KPI standards, self-service Looker strategy, and AI-driven automation. Partner with Product, Clinical Operations, Marketing, and Finance executives to prioritize analyses and guide strategic decisions. Build scalable operating models, deploy AI agents and LLM pipelines, improve data quality and monitoring, mentor the team, and translate complex analysis into actionable recommendations. The role requires onsite work in New York City four days per week.

Supervise analysts and reporting coordinators delivering accurate analytics, dashboards, and data outputs. Review and validate reports, lead complex data modeling and KPI initiatives, translate business questions into analytical solutions, improve query and reporting processes, and modernize the reporting stack through automation and self-service capabilities. Provide technical mentorship, establish data governance and documentation standards, manage performance, and support continuous improvement across the analytics function.

Leads marketing measurement and analytics strategy, including Marketing Mix Modeling, Multi-Touch Attribution, experimentation, dashboards, forecasting, and budget optimization. Manages 8–12 data scientists and analysts, partners with marketing and finance teams, and presents recommendations to senior leadership to improve campaign performance and financial outcomes.