Top Analytics Jobs in Sacramento, CA

As a Data Analytics Manager, you will lead a team to analyze data, drive strategic insights, manage projects, and optimize mobile app performance for top brands.

As a Staff Product Analytics Engineer, you will build and maintain data infrastructure, collaborate across teams to enhance product data use, and develop tools for data self-service.

The Analytics Engineer will enhance BI infrastructure, collaborate with Data Engineering, and deliver analytics-ready data. Responsibilities include managing Snowflake, dbt projects, and CI/CD workflows, optimizing data structures, and supporting BI initiatives.

The Marketing Analytics Manager role involves managing marketing performance metrics, analyzing campaign performance, and collaborating with teams to optimize marketing investments and conversions.

Seeking a Strategic Analytics Manager to analyze commercial performance, quantify ROI, deliver insights, build dashboards, and enhance data integrity to drive strategic decisions. Collaborate across departments to improve data-driven outcomes and explore AI tools for efficiency.

The Associate Director leads Data Transformation & Analytics projects, manages teams, interacts with clients, and develops innovative solutions utilizing data for performance analytics in transactions and transformation events.

The Analytics Principal will lead analytics for key client partnerships, analyze large datasets, develop insights, and mentor junior analysts.

The role involves maximizing profitability through revenue optimization, forecasting, analysis, and collaboration with cross-functional teams, focusing on pricing and seat inventory management.

As a Data Analytics Lead, you'll define KPIs, build data models, and develop actionable reports to support scalable analytics in a fast-growing healthtech company.

This role focuses on driving data-driven decisions in Paid Media strategies by analyzing performance metrics, optimizing media investments, and collaborating with various teams to enhance customer acquisition.

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

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

The Product Analytics Data Scientist will enhance algorithms based on customer needs, optimize grocery orders, and support data use for improved ordering performance.

The Director of Data & Analytics will lead the Data & Analytics team, define product strategies, ensure quality outcomes, and drive user adoption of data products. They will act as a technical lead in customer interactions while balancing various internal and external data-related priorities.