Top Analytics Jobs

As a Decision Analytics Associate Consultant, you will apply advanced bioinformatics techniques to analyze multi-omics datasets, develop bioinformatics workflows, and collaborate with interdisciplinary teams to deliver insights for life science challenges.

Design and apply advanced statistical models and custom analyses (R, SAS, Tableau, VB, Excel) to inform client decisions, communicate results, build client relationships, produce deliverables, mentor junior team members, and support project status and implementation.

The role involves developing statistical models and custom analyses, guiding decision-making with data, and maintaining client relationships.

The Analyst II will analyze data to optimize fraud strategies, develop machine learning models, and collaborate with teams to enhance product safety.

Lead analytics for marketing and product decisions through causal inference, experimentation, and deep exploratory analysis. Design and evaluate A/B tests, build KPIs and dashboards, translate insights into recommendations for senior stakeholders, mentor analysts, and ensure data accuracy and integrity across platforms.

Lead collections and workout analytics to improve efficiency and outcomes. Design and monitor credit strategies and models, partner with operations and technology to automate processes, drive program rollouts and testing, and provide data-driven recommendations and reporting to business and risk leaders to align strategy, execution, and policy.

As a Data Analyst, you'll drive data insights for product development at Grow Therapy, supporting reporting and experimentation projects.

The Senior Data Scientist will develop predictive models for mortgage loss forecasting, perform portfolio analytics, and collaborate across various departments to enhance home lending risk analytics.

The Senior Data Analysis Manager will manage data analytic projects, create dashboards, partner with stakeholders, and lead a team, focusing on strategic insights and analytics.

The role involves developing statistical models and analyses to address client business issues, guiding decision-making with data insights and mentoring associates.

As a Senior Data Scientist in Product Analytics, you will analyze data to guide product decisions, support product managers, and improve financial stability for users.

As a Senior Analyst, you'll analyze customer behavior, evaluate promotional strategies, and provide data-driven insights to influence key business decisions at DraftKings.

The Portfolio Risk Associate will analyze portfolio trends, support risk monitoring, and generate insights using SQL and Python, collaborating with various internal teams.

The Sr Manager of Payor Performance Analytics drives financial, analytical, and operational components of payer contracting, overseeing reimbursement modeling and ensuring successful contract negotiations and implementation.

Lead and grow a marketplace growth analytics team to drive product and marketplace performance. Define success metrics, own experimentation strategy, deliver rigorous analyses (forecasting, causal inference, predictive modeling), partner with Product/Engineering/Finance, and translate insights into prioritized product decisions and reliable reporting. Balance strategic leadership with hands-on analytics and embed measurement into the product development lifecycle.

Perform quantitative analyses and build advanced statistical models using tools like R, SAS, SQL, and Excel. Design custom analyses, synthesize findings for clients, support project management, develop client relationships, mentor junior staff, and contribute to Value & Access strategy for life sciences clients.

Design and apply advanced statistical models and custom analyses using R, Tableau, SAS, Visual Basic and Excel to inform client decisions. Synthesize and present findings, create deliverables, manage project status, build client relationships, mentor associates, and implement solutions while contributing to ZS's analytic capabilities.

Lead pricing analytics for GoodRx Companion subscription: build forecasting and elasticity models, optimize pricing to drive signups and unit economics, create dashboards and reports, analyze fill patterns, and deliver actionable insights to cross-functional stakeholders to improve program performance.

Lead data-driven diligence and value-creation analytics for private equity and corporate clients. Manage complex analyses, build pipelines and warehouses, develop predictive models, improve data quality, create visualizations (Alteryx, Power BI, Tableau), and coach teams to deliver actionable insights throughout the deal lifecycle.

As an Analyst, you will conduct analyses for Hive's offerings, support project delivery, collaborate with teams, and communicate project outcomes.

As a Forward Deployed Data Analyst, you will configure and implement data systems for clients, ensuring their analytics are accurate and actionable. You'll work with teams to refine metrics and improve data processes, ensuring value from day one.

Lead and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.

Develop advanced statistical models, leverage data analytics, and create custom analyses to inform client decisions while leading and mentoring team members.

Lead complex data analysis for private equity and corporate deals across diligence, post-deal, and exit phases. Use advanced analytics, predictive modeling, and visualization tools to generate insights, improve data quality, collaborate with stakeholders, and coach teams to deliver strategic, data-driven recommendations at deal speed.

Lead and build a marketing analytics function to connect marketing activity to revenue. Design attribution and unified measurement frameworks, quantify pipeline contribution, optimize channel mix and ABM, build forecasting and predictive models, ensure clean data infrastructure, and hire/manage a small analytics team. Partner with RevOps, Sales, and marketing teams to drive data-driven budget and planning decisions.