Top Analytics Jobs in Sacramento, CA

As a Data & Analytics Analyst, you'll develop data infrastructure, perform complex analyses, provide insights, and ensure data quality across systems.

The Monetization Analytics Manager will build data models and dashboards, analyze pricing metrics, support pricing strategies, and automate self-service tools for revenue optimization.

The Associate Director/Senior Manager will lead commercial analytics and forecasting efforts, develop insights, establish processes, and manage data strategies within the organization.

The role involves leading analytics initiatives to support community support, driving data-informed decisions, building insights platforms, and using statistical models for product improvement.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

As a Data Engineer at Thatch, you'll develop data infrastructure, build ELT pipelines, and collaborate across teams to provide analytics insights.

The Senior Analytics Engineer will build and maintain data integrations, automate workflows, ensure data accuracy, and support school operations in K-12 education.

This role involves collaborative analytics work, developing metrics, and dashboards to optimize content distribution and merchandising processes for Netflix.

The Fraud Analytics Intern will analyze data, create fraud features, develop predictive models, and collaborate with data scientists in cloud environments.

Design, deliver, and consult on analytics projects in consumer lending, including modeling, portfolio analysis, and marketing analytics with hands-on coding expertise in Python and Spark.

As Director of Data & Analytics, you'll build a modern data stack, manage dashboards and reporting, ensure governance, and lead a data team.

As an Analytics Lead, you will conduct research, collaborate on client strategies, mentor team members, develop insights, and create measurement products to guide decision-making.

The role involves designing and delivering end-to-end data and analytics solutions on Azure for enterprise clients, requiring data engineering experience.

The RevOps Analytics Manager is responsible for data analysis, insights generation, data governance, and supporting sales and marketing strategies through advanced analytics and forecasting.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

The Senior Manager, Marketing Analytics will develop campaign performance metrics, enhance reporting capabilities, and optimize marketing strategies while collaborating with various teams.

Lead a team of analytical engineers to create optimized data solutions, mentor members, and collaborate on data-driven projects using AWS technology.

Lead evaluation of new data assets, develop data strategies, build predictive models, support M&A, and engage clients. Manage analytics teams and promote innovation.

The Director of Data Analytics leads analytics strategy and operations, overseeing business intelligence projects and managing a team. Responsibilities include driving forecasts, statistical modeling, and cross-functional collaboration to enhance reporting and customer engagement.

The Fraud Analytics Lead will design and implement strategies to mitigate fraud risks, leveraging advanced analytics and collaborating with cross-functional partners.

The Risk Portfolio Analytics Manager leads risk reporting and analytics, ensuring a data-driven view of risk exposure and portfolio performance. Responsibilities include producing reports for governance bodies, monitoring performance, enhancing fraud analytics, and improving reporting frameworks.

The Senior Data Analytics / Business Analyst will collaborate with various departments to drive revenue growth by analyzing data, conducting experiments, and implementing action plans based on statistical insights.

Lead analytics for OnePay's Lending product, working cross-functionally to develop data-driven strategies, foster growth, and manage a team of analysts.

Analyze data to drive insights for fraud detection and customer onboarding, develop dashboards, and collaborate across teams to optimize strategies.

As an Analytics Engineer, you will develop and maintain analytics platforms, support data collection and orchestration, and improve code quality through best practices. You will collaborate with product teams and participate in on-call support for production services while engaging in a collaborative workplace culture.