Top Data & Analytics Jobs in Sacramento, CA

Seeking a Security Analyst to oversee cybersecurity operations, drive security improvements, and educate the organization on best practices. Responsibilities include monitoring security systems, conducting training sessions, and collaborating with the engineering team. Preferred experience includes 3+ years in cybersecurity, cloud platform experience, and knowledge of security technologies and best practices.

As a Data Scientist focusing on AI at Candidly, you will work on designing, developing, and deploying AI-driven features that enhance our financial wellness platform. You will partner closely with the product and engineering teams to create solutions that leverage natural language processing (NLP) to optimize the user experience, improve engagement, and improve operational efficiencies. Responsibilities include product development, NLP, data strategy, model evaluation, research, stakeholder collaboration, and data storytelling.

Saviynt is seeking a Sr. Revenue Operations Analyst to drive full funnel accountability across the revenue engine. Responsibilities include optimizing data operations, translating business requirements, providing strategic insights, and enhancing sales enablement. Qualifications include 3-5 years of revenue or sales operations experience, expertise in Salesforce, strong communication and analytical skills.

The Energy Analyst will analyze and process market data to support energy management and power trading activities, develop energy applications, monitor market trends, and compile reports on energy market dynamics. They will collaborate with cross-functional teams to optimize data center energy consumption and pricing strategies.

As an eCommerce Media Analyst, you'll manage Amazon Advertising campaigns for multiple clients, analyze data to inform strategies, develop tools for campaign management, and provide feedback to internal teams to enhance automation and reporting.

The Staff Research Scientist will develop AI technology focusing on NLP and ASR. Responsibilities include designing and implementing neural net architectures, optimizing training pipelines, and collaborating with ML engineers to enhance product capabilities based on real-world data analyses.

The Data Analyst will focus on forecasting, reporting, and dashboard creation to support CareRev's growth organization. Responsibilities include translating business needs into insights, building leadership dashboards, conducting ad hoc analyses, synthesizing complex datasets, and managing sales forecasting in collaboration with finance.