Top Analytics Jobs in St. Louis, MO

As a Senior Analytics Engineer, you will bridge data engineering and analytics, creating scalable data solutions while collaborating with stakeholders to drive data-driven decisions and improve business value.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

The Senior Data & Analytics Consultant will lead data structuring, reporting, and analysis for the pet business, ensuring accurate reporting to meet business objectives.

The role involves partnering with finance leaders to provide analytical insights, designing frameworks, developing dashboards, and leading a high-performing analytics team while utilizing SQL and data visualization tools.

The Senior Analytics Consultant will drive data-driven conversations, conduct data analysis, develop solutions, and effectively communicate findings to stakeholders.

As a Senior Analytics Pricing Consultant, you'll lead pricing strategy initiatives, perform data analysis, and collaborate with teams to optimize pricing models for growth and profitability.

Lead and mentor a team of data analysts, drive data analytics strategy, ensure data quality and governance, and deliver actionable insights across business functions.

Drive analytical insights and strategies for borrower acquisition and retention, partner with various teams to enhance growth, and mentor junior analysts.

The Actuarial Analyst analyzes and forecasts data to support strategic decisions, ensures data integrity, and collaborates with stakeholders on business needs.

The role involves executing advanced analytics, applying statistical techniques, designing reporting capabilities, and translating business needs into analytical solutions while ensuring data integrity and communicating insights effectively.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

Design and implement data solutions using Databricks and Python, develop data models and pipelines, and support Audit Analytics for a Federal customer.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

Oversee customer reporting and analytics at Omada Health by leading a team, developing strategies, and collaborating across functions to deliver insights.

As a Senior Data Analyst in Marketing, you will analyze marketing data, track performance trends, develop models, and communicate recommendations to support strategic decisions.

The Client Analytics Manager will manage client relationships, oversee data integration processes, coordinate between teams, and deliver analytics reports.

This role involves designing measurement strategies, analyzing campaign effectiveness, and collaborating with stakeholders to optimize marketing efforts for customer acquisition.

The Data Analytics Senior Consultant II leverages data to influence business strategy, coaches junior analysts, and communicates findings to management.

The Data Analytics Consultant I analyzes data to provide insights, establishes data standards, and communicates findings to management. The role requires 2+ years of experience in data analytics.

The Director of Market Insights & Analytics develops quantitative models and insights to guide product strategy and investment decisions, using advanced analytics and collaborating across departments to inform strategic choices.

The Director of Digital Analytics manages the digital analytics team, analyzes data for client fundraising strategies, and ensures quality and efficiency in analytics deliverables.

Lead and optimize the analytics engineering team, manage BI tools like Looker, and ensure the integrity of enterprise reporting and data modeling.

The Analytics Engineer will design, build, and maintain data models and warehouses, support ELT processes, and collaborate with analysts to drive data insights.

The Data Analytics Consultant leads analytics projects, manages client expectations, analyzes data trends, and provides actionable insights using BI tools, ensuring project delivery aligned with client goals.