Top Analytics Jobs in Los Angeles, CA
As a Sr. Data Analyst in Payments, you will analyze data to provide actionable business insights, develop and automate reports, and collaborate with various teams to enhance banking products and customer experiences.
The Data Analyst will work with Product and Engineering teams to design and deliver automated reporting, revenue dashboards, and insights from ad code testing. Responsibilities include analyzing A/B tests, collaborating with various partners, and influencing stakeholders to drive revenue opportunities for a network of creators.
As a Senior Data Analyst at Typeform, you will collaborate with stakeholders to explain business performance metrics, conduct data analysis using SQL and Python, and create automated reports. You'll work closely with Marketing, Product, and Sales to align analytics with business goals and support data-driven decision-making through experimentation and insights.
As a Principal Data Scientist, you will develop machine learning models for hotel demand and pricing prediction, optimize revenue through pricing strategies, and lead technical projects. Collaboration with product and engineering teams is key to integrating solutions and presenting findings to management.
As a Big Data Engineer, you will lead data migration planning, design and implement scalable data pipelines, ensure data quality, and support migration phases. Collaborate with cross-functional teams to deliver data solutions across various domains, staying updated with cloud computing and analytics technologies.
The role involves researching and developing quantitative trading strategies within the energy sector, performing trading performance analytics, and influencing the product direction with data-driven insights. The analyst will collaborate with teams to shape tools and processes that improve trading outcomes, while mentoring junior analysts and fostering a culture of experimentation.
As a Senior Data Analyst in Sales Operations, you will enhance sales analytics by utilizing SQL, Tableau, Metabase, and Snowflake to analyze and report on sales performance, forecast data, and operational metrics. You will create dashboards and perform customer segmentation analysis while identifying opportunities for data-driven improvements and automating workflows. Collaboration with senior leadership and team members is essential for success.
As a PBM Operations Analyst, you'll manage eligibility and accumulator operations, ensuring seamless integration and functionality within the claims platform. Responsibilities include configuring benefits, conducting tests, troubleshooting issues, and maintaining documentation in collaboration with various internal stakeholders.
The Senior Revenue Operations Analyst will lead analytics projects that inform decision-making across Go-To-Market functions. Responsibilities include coordinating cross-department initiatives, improving analytics processes, ensuring data integrity, and conducting analyses to support revenue operations.
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As a Staff Analytics Engineer, you will design and implement systems for data integrity, efficiency, and compliance, while collaborating with cross-functional teams. Your role includes developing data assets for product use, enhancing data quality, and automating data management tools, all while mentoring team members and ensuring adherence to data protection regulations.
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