Top Analysis Reporting Jobs in Sacramento, CA

Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.

As a Senior Associate, assist clients with cloud data strategies, implement cloud data architectures, and collaborate with teams to drive business results using data analytics.

The role involves configuring Workday Time Tracking and Absence Management modules, improving workflows, user support, ensuring compliance, and system testing.

The Manager, Portfolio Strategy is responsible for managing a team, developing monitoring frameworks, analyzing portfolio performance, and presenting insights to optimize profitability and risk for a billion-dollar portfolio.

The Senior Analyst will provide insights to drive business growth, assess portfolio risks, and implement pricing strategies while collaborating with various teams.

The Data Systems Manager will oversee data architecture, implement MDM strategies, ensure data quality, and drive governance initiatives to support business intelligence.

Lead Statistical Programmer responsible for developing SAS programs for clinical trial data analysis. Collaborate with teams, ensuring compliance and quality standards. Mentor junior programmers.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

Lead product analytics function, manage a team of analysts, drive data-informed decisions, and partner with Product and Engineering teams.

As a Lead Data Architect, you'll design enterprise-grade data platforms, ensuring compliance, scalability, and guiding teams in data modeling and governance.

The Principal Credit Risk Analyst leads credit risk evaluation, monitoring, and optimization for lending portfolios, collaborating with cross-functional teams to drive informed growth and ensure compliance with regulatory standards.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.