Top Data & Analytics Jobs in Los Angeles, CA

As a Decision Analytics Associate Consultant, you will analyze healthcare data from Electronic Health Records (EHR) to extract insights, support healthcare providers, and apply statistical models to inform decision-making. You will design custom analyses to address client needs and communicate results effectively while developing client relationships.

As a Decision Analytics Consultant, you'll analyze and manage healthcare data, focusing on extracting insights from Electronic Health Records to support healthcare providers. You'll collaborate with clients to assess their business information needs, derive quantitative answers, and communicate results to inform decision-making and improve patient care.

As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, analyze data trends, collaborate with clients, and mentor team members. Your role involves leveraging data to address business challenges and contribute to thought leadership through research.

The Senior Director of Data will lead a multidisciplinary data organization focused on analytics, data infrastructure, and AI initiatives. Responsibilities include building data strategies, managing a team of data professionals, and ensuring effective use of customer data while partnering across the organization to optimize product features.

The Senior Data Analyst will be instrumental in enhancing customer satisfaction and retention by analyzing complex data sets, developing dashboards in Tableau, and utilizing tools like Zendesk and Gainsight to track customer interactions and churn. The role involves mentoring junior analysts and presenting insights to senior management.

This role involves leading product releases at Metropolis by developing and executing robust testing and release plans. The Product Operations Manager will collaborate with Product Managers and cross-functional teams to drive product adoption, communicate updates, and assess product impact based on data and feedback.

The Senior Analyst - Revenue Operations will apply analytical skills to optimize business and revenue data, manage sales pipelines, generate insights, and enhance GTM efforts through process improvements and best practices. They will collaborate with various stakeholders to ensure data accuracy and drive the company's growth.

Develop and implement innovative pricing algorithms using machine learning and optimization techniques to solve complex pricing challenges. Engage in the entire ML development pipeline, from data acquisition to model deployment, while collaborating with cross-functional teams and effectively communicating results to diverse audiences.

Senior Research Developer responsible for designing and implementing large-scale recommendation systems to personalize content recommendations for millions of anime fans worldwide. Key responsibilities include system architecture design, data preprocessing, model training, and operational excellence. Requires 5+ years of experience in recommendation systems, proficiency in Python, and familiarity with TensorFlow and PyTorch.

Senior Machine Learning Engineer responsible for designing and implementing recommendation systems to enhance user engagement and satisfaction through personalized content recommendations. Will work on system architecture, data preprocessing, model training, measurement feedback, and operational excellence. Requires 5+ years of experience in large-scale recommendation systems, proficiency in Python, familiarity with TensorFlow, PyTorch, GPU optimization, and cloud platforms.

As a Lead Data Analyst, you will direct data-driven strategies to enhance member experiences, support growth through actionable insights, and lead cross-functional data initiatives. Your role involves advanced analytics, mentoring junior analysts, and communicating complex data insights clearly to stakeholders.

The Business Systems Analyst role involves liaising between users and IT to capture business needs, document workflows, and assess ERP utilization. Responsibilities include managing user acceptance testing, facilitating workshops, and creating business process representations. The role also requires tracking KPIs and supporting change management through training and communication plans.

As a Principal Machine Learning Engineer, you will lead the development of prediction or optimization engines for advertising platforms, driving innovation through AI and machine learning. Responsibilities include designing ad algorithm architecture, developing scalable data analysis methods, and collaborating with cross-functional teams.