Top Analysis Reporting Jobs in Sacramento, CA

The Data Engineer I is responsible for building reliable ELT/ETL pipelines, implementing data quality checks, and optimizing data models using dbt, while collaborating with stakeholders to ensure data reliability and consistency.

The Senior Marketing Data Analyst will analyze marketing data to understand trends, provide strategic insights, maintain data integrity, lead AI-driven analytics, and partner with marketing teams for improved performance.

The Senior Predictive Analytics Analyst builds predictive models to inform business decisions, collaborating with teams and ensuring regulatory compliance.

Own end-to-end marketing performance measurement, design scalable analytics frameworks, and build dashboards and automated reporting. Lead advanced measurement (attribution, MMM, incrementality, experimentation), partner with data teams to improve infrastructure, and translate complex analyses into actionable insights to optimize ROI and pipeline contribution.

The consultant will lead Workday Reporting & Analytics solutions, mentor others, conduct business requirement sessions, and support customer needs with expertise in reporting and analytics.

The Senior Data Analyst will analyze complex data sets, create reports and dashboards, mentor junior analysts, and improve data processes.

Review and evaluate media content, ensuring quality and adherence to guidelines. Provide feedback and ensure contributions meet standards for AI training.

The Senior Analyst, GTM Analytics will analyze GTM performance, build reporting tools, and support decision-making in Sales and Revenue Operations. Requires strong analytics and cross-functional collaboration skills.

As a Solutions Analytics Data Scientist, you will analyze partner data, demonstrate product value, and provide actionable insights regarding fraud patterns and performance evaluations.

The Credit Risk Manager will develop credit analytics frameworks, monitor portfolio health, drive product strategies, and automate risk processes, leveraging SQL, Python, and AI tools.