Top Analytics Jobs in Los Angeles, CA

The Analyst II will analyze customer risk, optimize fraud prevention strategies, develop data frameworks, and communicate findings to improve user experience and retention.

As a Manager of Risk Analytics, lead a team focusing on account security, implement risk strategies, analyze data with SQL, and collaborate to enhance security measures.

The Lead Data Analyst will utilize deep data insights to drive strategic initiatives within the Customer Success team, focusing on metrics, trends analysis, and cross-functional collaboration to enhance customer experience and operational efficiency.

The Sr. Game Data Analyst will lead data initiatives, optimize live games, and provide insights for player engagement and acquisition in mobile gaming.

The Data Analyst will analyze and transform complex datasets into actionable insights, supporting federal healthcare decision-making and ensuring data quality.

As a Manager of Data Analytics, you will address complex data issues, collaborate with teams to develop insights and reporting, and aid in data-driven decision-making within the Network team.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

The Data Scientist will analyze B2B marketing data to drive growth, optimize campaigns, and create dashboards that track funnel health and lead scoring models.

Design and optimize fraud detection rules, managing libraries and workflows, collaborating with teams for analytics, and providing strategic insights.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

The Actuarial Analyst analyzes and forecasts data to support strategic decisions, ensures data integrity, and collaborates with stakeholders on business needs.

Lead audience insights and analytics, using first-party data to analyze consumer trends and behaviors in the TV industry, while collaborating with cross-functional teams and leveraging big data technologies.

The Fraud Analytics Lead will design and implement strategies to mitigate fraud risks, leveraging advanced analytics and collaborating with cross-functional partners.

Assist with the design and development of risk analytics and investment systems while supporting quantitative research and data analysis.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.

The Senior Analyst will manage data, conduct quantitative analysis, develop business cases, and ensure project deliverables with a focus on client communication and team collaboration.

As a Senior Specialist in Data Analytics, you'll conduct high-quality data analyses and reporting, using SQL and analytics tools to support media decision-making for clients.

Lead the Credit Risk & Analytics function, utilizing AI/ML for underwriting, portfolio monitoring, and collections strategy to enhance risk performance.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

The Analyst, Rebate Analytics analyzes pharmacy claims data to identify trends and evaluate rebate performance, providing actionable insights for strategic decisions.

The role involves performing product usage analyses, designing A/B tests, leveraging AI tools for insights, and working cross-functionally to improve business performance metrics.

As an Analytics Developer, you'll analyze complex data using SQL, Python, and Excel, build analytics solutions, and present insights to stakeholders.

As a Senior Data Analyst, you'll partner with business stakeholders, conduct data analysis, and write complex SQL queries while collaborating in an Agile environment.

The role involves creating testable hypotheses using data, launching A/B tests, and partnering with analysts to improve game metrics. Responsibilities include presenting findings to non-analysts and using benchmarks for actionable insights.

Design, deliver, and consult on analytics projects in consumer lending, including modeling, portfolio analysis, and marketing analytics with hands-on coding expertise in Python and Spark.