Top Analytics Jobs in Los Angeles, CA
This role involves managing the data and analytics program for Revenue Cycle Optimization, leading strategic initiatives, performing financial performance analysis, ensuring accountability for ROI outcomes, preparing performance reports, and training team members on analytics tools and methodologies.
The InfoSec Client Solutions Analyst will support and enhance Intel® Federal's secure IT solutions, working within an Agile team to deploy client systems, monitor security threats, and ensure compliance with regulations. This includes managing client systems, participating in operations, and proposing improvements.
Create and maintain accurate demand plans by month by style/color/size for a specific brand and/or category. Derive style/color/size level demand plans, lead presentations, and handle standard reporting and administrative duties. Bachelor's degree in Business Management or related field required.
Lead data analytics initiatives at Republic Services, a leader in the environmental services industry. Analyze data to drive sustainable growth and improve operational efficiencies. Collaborate with teams to provide insights and guide decision-making processes.
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Join Twilio as a Senior Data Analyst in the Enterprise Strategy and Operations team. Partner with cross-functional teams to drive growth initiatives and operational excellence through data-driven projects. Develop data products, automate workflows, and mentor junior analysts. Contribute to Twilio's operational strategy by providing data insights and self-service reporting.
The General Manager will develop and execute media strategies and data operations at Sabre, leading a team to optimize media campaigns and financial targets while ensuring efficient delivery and integration with GDS platforms. The role demands expertise in digital media practices and strong analytical capabilities.
The Application Support Analyst will resolve customer issues with the SaaS platform, communicate with clients, troubleshoot applications, and collaborate with internal teams to develop solutions. Responsibilities include investigating code, coordinating problem resolution, monitoring systems, writing custom code, and participating in hiring efforts.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
Deliver scalable, performant ETL processes in multi-tenant cloud infrastructures, focusing on healthcare data. Design and implement enterprise data schemas, clean and transform data sets, and operate ETL software components. Collaborate with team members and clients to achieve scalability and high performance.
The Supervisor, Client Reporting + Analytics leads a team of Data Insight Analysts, providing mentorship and ensuring the accurate and timely delivery of operational reports. They collaborate with cross-functional teams, monitor performance, and drive continuous improvement initiatives. This role requires a mix of technical skills in data analysis and leadership abilities to inspire the team.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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