Top Data & Analytics Jobs in Los Angeles, CA
As a Senior Data Engineer at MNTN, your role involves building and managing data pipelines, designing architecture for high-quality data, creating ETL workflows, and ensuring data insights for business success. You will work cross-functionally to inform marketing strategies and resolve critical incidents.
As a Senior Data Engineer at MNTN, you will develop and manage data pipelines, design architecture for high-quality data, and generate insights from complex datasets to enhance client metrics. Collaboration across functions is essential to improve the marketing experience and resolve critical data incidents.
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The Revenue Cycle Operations Analyst is responsible for maintaining the integrity of cash for healthcare organizations, ensuring efficiency and accuracy of accounts receivable through payment posting and credit oversight. They work on various workqueues in EHR systems, develop policies and procedures, monitor EFT transactions, and collaborate with team members to correct discrepancies and improve workflow.
The Senior Analytics Engineer will develop data models and optimal data pipelines, build BI dashboards, partner with stakeholders to enhance data-driven decision-making, and optimize dbt infrastructure. They will also document processes, conduct root cause analyses, and support educational research.
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The Senior People Analyst will analyze and guide HR programs, lead People Analytics projects, and mentor junior employees. This role involves translating data needs into actionable insights and executing on a strategic analytics roadmap. Candidates should have strong experience in people analytics, statistical methods, and project management.
The Senior People Analyst will lead People Analytics projects, translate people needs into actionable insights, and support the development of the People Analytics roadmap. Responsibilities include collaborating with stakeholders, implementing statistical analysis, and mentoring junior employees.
As a Senior People Analyst, you will support Human Resources by analyzing data, guiding programs, and mentoring junior employees. The role involves executing the People Analytics vision, managing projects in Talent Acquisition, Compensation, and Workforce Planning, and using statistical methods to derive insights from data.
The role involves leading and developing data engineering capabilities, architecting data solutions, guiding technology choices, collaborating with teams, mentoring engineers, and working directly with customers to address data challenges in a clinical research platform.
The Strategy Analyst will support Operations and Pricing functions by performing strategic analyses, creating reports, forecasting, and providing business recommendations. This role also includes monitoring pricing and building analytic tools for pricing performance assessment.
As an Operations Analyst, you will support the Operations and Pricing functions by analyzing operational performance and creating data-driven business recommendations. Your responsibilities include reporting, forecasting, monitoring pricing strategies, and collaborating with stakeholders on cross-functional projects.
The Scientist, Analytical Sciences / QC is responsible for analytical support of drug product development in a collaborative environment. Duties include managing quality events, leading analytical method development and validation, assuring compliance with regulatory submissions, and providing leadership in analytical CMC activities for oncology drug candidates.
The Senior Fraud Risk Data Scientist at BILL will focus on developing predictive fraud detection models and transaction risk modeling. Responsibilities include designing experiments, performing advanced analytics, and collaborating with cross-functional teams to enhance risk strategies and business decision-making.
The Revenue Operations Analyst will support the Americas new business sales team by driving process consistency, managing sales pipeline, and aiding in sales planning and territory design. Responsibilities include analyzing complex data sets, identifying trends, recommending process improvements, and supporting sales teams with performance analysis, forecasting, and reporting.
As a Senior Data Scientist at VRChat, you'll collaborate with cross-functional teams to analyze product features and campaigns, conduct quantitative analyses, and deliver insights to drive strategic product decisions. You'll design metrics, perform root cause analyses, and create data visualizations, while leveraging your experience in data science to influence business outcomes in a remote work environment.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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