Top Remote Analysis Reporting Jobs in Sacramento, CA

As a Data Scientist, you'll empower the company with data insights, develop metrics and experiments, and collaborate with various teams to drive product decisions.

Design, build, and maintain scalable ETL/ELT data pipelines on Databricks and AWS S3; manage large geospatial and temporal datasets; productionize ML models; implement data validation, testing, and monitoring; optimize storage and processing; document workflows; collaborate cross-functionally.

The Data Scientist will develop fraud detection systems and predictive modelling for merchant onboarding, working with cross-functional teams and diverse datasets.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, focusing on architecture, ingestion, storage, and analytics on GCP. You'll collaborate with stakeholders and optimize data structures for performance while ensuring adherence to data governance and compliance standards.

The Director of Business Operations oversees marketplace performance analysis, developing metrics and insights, and collaborating across teams to enhance strategy and decision-making.

The Staff Risk Analytics role involves overseeing fraud risk management, developing strategies, leading cross-functional initiatives, and providing real-time analytics in fintech.

The Product Analyst at Pearl will conduct analyses, uncover insights, and provide actionable recommendations to inform product strategy and decision-making. This role involves collaboration with cross-functional teams and utilizing various analytics tools to drive business improvement.

The Salesforce Business Solution Architect I translates business needs into solutions within Salesforce, capturing requirements, designing processes, and mentoring project teams. Responsibilities include leading projects, defining data and processes, and ensuring use of technology aligns with business goals.

Manage people analytics, conducting data analysis to inform HR strategies, offer recommendations for improvement, and create reporting dashboards. Collaborate with HR and business leaders to align people data with business needs.

The Business Intelligence Analyst V will use advanced data analytics techniques to identify trends, manage analytics products, provide insights, mentor others and interact with senior leaders.