Top Senior Analytics Jobs

Partner with Support and Services Delivery leaders to deliver actionable CX analytics. Perform deep-dive analyses on support case drivers, resolution patterns, CSAT trends, and operational efficiency. Build and maintain data models and pipelines (SQL, dbt, Snowflake), create user-facing analytics applications, and enable AI-driven self-service through semantic models and Cortex tools. Drive stakeholder adoption, embed analytics into workflows, and define team standards to improve post-sale customer outcomes.

Deliver predictive analytics solutions; manage customer projects; collaborate across teams; promote analytics use in various industries; lead teams and provide analysis.

Lead market access deal analytics by developing data-driven solutions for payer strategy and reimbursement optimization, conducting claims data analyses, and integrating analytics into pricing strategies. Required to manage healthcare datasets and develop predictive models.

Lead implementations and ongoing analytics consulting for community health centers: extract, clean, and analyze EHR data (heavy SQL), build reports and visualizations, manage projects and stakeholders, train client data teams, and inform product improvements based on customer feedback and domain expertise.

Lead customer analytics to reduce churn and drive upsell by building predictive models, customer health scores, and executive dashboards. Integrate data from Salesforce, Genesys, Pendo, and Qualtrics, ensure data governance, and partner with Customer Success, Product, Sales, and Finance to operationalize insights and influence strategy.

Lead supply-and-demand forecasting for the psychiatry service line: build and maintain S&D models, integrate models into core data infrastructure, define operational metrics (capacity, clinician utilization, hiring targets), run forecast vs. actual audits, and partner cross-functionally to guide hiring, resource allocation, and operational improvements.

The Business Analyst will analyze online retail data, manage onsite/offshore teams, execute analytics projects using statistical techniques, and deliver actionable business recommendations.

The Sr. Analyst will develop and deploy machine learning models, design testing strategies, and analyze user behavior for the PlayStation brand.

Transform raw data into clean, reliable datasets; analyze trends and produce actionable insights; design and build interactive Kibana dashboards and UX/UI mockups; maintain ETL/data pipelines and reusable analytics assets; document data models and workflows; collaborate with data engineers, analysts, and stakeholders in an Agile environment to support operational decision-making.

Develop, implement, and validate statistical and econometric credit risk models for Freddie Mac's single-family mortgage portfolio. Perform loss forecasting, back-testing, stress testing, and model performance monitoring. Provide technical analytic support, documentation, and model implementation coordination; apply machine learning and econometric techniques to large datasets to inform business and risk decisions.

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.

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.

Lead advanced analytics for a marquee Beverage Alcohol client, developing statistical models, translating insights into actionable strategies, driving client growth, and supporting consultative sales. Manage projects, coach teams, and develop analytic offerings and best practices to improve client outcomes and revenue.

Own CRM analytics, reporting, segmentation, attribution, and data quality for email, push, in-app, and SMS across multiple FOX brands. Write and troubleshoot SQL against Snowflake/Braze, build attribution models, audit segments, support experimentation, and deliver insight-driven executive summaries to marketing and editorial stakeholders.

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.

Lead analytical efforts in Real World Data research, develop specifications and methodologies, manage projects, and communicate findings to stakeholders.

The Senior Data Scientist will build frameworks for data-driven decision making, develop predictive models, ensure data quality, and enhance customer experiences through analytics and operational insights.

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.

Perform senior-level analysis on complex healthcare and business datasets (claims, utilization, financials). Design and maintain reports, dashboards, and ETL processes with SQL/SSRS/Excel; ensure data quality; build forecasts and models; lead projects; present insights to stakeholders; support audits and regulatory requests.

Lead end-to-end research and production pipelines for systematic trading strategies. Conduct alpha research using statistical and ML techniques on high-frequency tick and order-book data, build Monte Carlo simulations and real-time risk monitoring, design position-sizing and stress-testing frameworks, mentor junior researchers, and collaborate with trading and infrastructure teams to deploy production-grade models and risk controls.

The Senior Data Scientist will analyze product data, design and manage experiments, define KPIs, and collaborate with cross-functional teams to improve product performance and user experience.

The Senior Data Scientist will analyze product data, design A/B tests, define KPIs, and collaborate with teams to improve product performance and user experience.