Top Senior Analytics Jobs in Los Angeles, CA

Provides analytics and strategic advisory support for mergers, acquisitions, and other business transactions. Analyzes contract data to identify risks, obligations, performance insights, and compliance indicators; develops algorithms, data models, pipelines, dashboards, and predictive models using Python and machine learning. Collaborates with clients and internal teams, validates data integrity and security, mentors junior staff, and delivers data-driven recommendations.

Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

Leads analytics for Pricing and Supply, managing a team of approximately eight analysts. Partners with cross-functional leaders to prioritize analytical work, build dashboards and decision frameworks, improve metric quality, and generate insights into pricing, supplier coverage, marketplace performance, conversion, margin, and customer behavior. Coaches analysts, establishes scalable analytics processes, and collaborates with data engineering teams to improve data models, tooling, and self-service capabilities.

Delivers data analytics for M&A, divestitures, transaction advisory, and post-acquisition value creation engagements. Cleans, models, and analyzes complex financial, customer, pricing, profitability, and operational datasets using Python, Alteryx, SQL, and related tools. Communicates transaction risks, performance drivers, and value creation opportunities through dashboards, visualizations, presentations, and client recommendations. Manages analytical workstreams, client interactions, deadlines, and junior team mentoring.

Lead revenue analytics by developing business cases, dashboards, KPI frameworks, experiments, and automated analytics solutions. Partner with client success, marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and scale data-driven execution. Serve as the analytics subject matter expert while translating structured and unstructured data into actionable recommendations and compelling stakeholder narratives.

Lead end-to-end analytics for major platform partnerships, identifying growth opportunities and informing product, investment, risk, and pricing decisions. Conduct complex analyses, design experiments, build scalable data models, metrics, dashboards, and AI-assisted workflows, and translate findings into business recommendations. Partner cross-functionally with Product, Engineering, Finance, Revenue, and Strategic Partnerships while mentoring analysts and improving analytical practices.

Analyzes ecommerce and consumer data to generate actionable insights for digital commerce decisions. Responsibilities include SQL/Python analysis, performance reporting, dashboard development, experimentation, A/B testing, measurement strategy, data-flow coordination, personalization initiatives, and stakeholder consultation across product, marketing, merchandising, UX, engineering, and data teams.

Leads advanced analytics for Mattel’s direct-to-consumer ecommerce organization. The role develops statistical models, predictive analyses, dashboards, measurement frameworks, and experimentation programs to evaluate consumer behavior, marketing effectiveness, and ecommerce performance. Responsibilities include writing optimized SQL, collaborating on data architecture and pipelines, ensuring data quality, mentoring analysts, and translating complex findings into strategic recommendations for product, marketing, merchandising, and technology stakeholders.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Analyze large, multi-source datasets to identify trends, risks, opportunities, and performance drivers. Build Power BI dashboards, reports, KPI scorecards, and analytics-ready datasets using SQL. Partner with business leaders and stakeholders to clarify questions, evaluate initiatives, maintain data quality, and develop actionable recommendations. Present insights through clear visualizations and data storytelling, while managing multiple analytics assignments and contributing to team best practices.

Manages marketing technology, CRM data analytics, AI-enabled data enrichment, and data quality initiatives. Develops governance guardrails, standards, controls, and processes to maintain accurate data. Analyzes marketing and business development information to identify revenue and operational efficiency opportunities, creates recurring reports, collaborates with vendors and internal stakeholders, and implements tools that support strategic decision-making and demand generation.

Develop customer analytics that improve retention, growth, adoption, and operational performance. Build and maintain BI dashboards, customer health metrics, churn-risk reporting, and predictive models. Partner with Client Success, Product, Sales, and Operations to translate complex findings into actionable recommendations. The role also owns data quality, governance, reporting automation, workflow improvements, and stakeholder communication.

Manage data and analytics consulting projects, teams, stakeholders, and delivery phases from requirements through deployment. Lead hands-on SQL and Python development, data modeling, data warehouse design, and BI visualization using tools such as Tableau, Power BI, Snowflake, and Databricks. Facilitate client workshops and executive meetings, manage risks and budgets, ensure client satisfaction, and contribute to practice growth through mentoring, recruiting, and methodology development.

Lead advanced analytics, dashboard development, web and digital marketing insights, AI workflow integration, and executive reporting. Manage and mentor analysts while using SQL, Tableau, Excel, generative AI, and automation agents to improve analytical processes. Evaluate AI-generated outputs for accuracy, privacy, governance, and quality, and collaborate with engineering and business stakeholders to deliver actionable recommendations.

Partners with product, business, content operations, and data teams to define measurement frameworks, analyze media production workflows, build prototypes and dashboards, strengthen data models, and provide data-driven insights for strategic decisions. The role focuses on measuring GenAI-enabled production improvements, operational efficiency, creative flexibility, and innovation impact while influencing stakeholders and leadership.

Leads digital analytics for Ford Pro Digital Product, translating stakeholder questions into measurement plans, KPIs, advanced journey analyses, dashboards, and actionable recommendations. The role uses SQL and digital analytics platforms to integrate behavioral, customer, transaction, and enterprise data. It also develops reusable analytical methods, automation, and AI-enabled workflows, partners with cross-functional teams, and presents findings to technical and executive audiences.

Analyze sales, marketing, and customer success performance, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and marts using Salesforce and modern data-stack tools, while owning data quality and documentation. Contribute to Lighthouse, a BI-as-code platform, and develop AI-assisted analytics workflows. Partner with stakeholders to frame ambiguous questions, deliver recommendations, and communicate progress in two-week sprints.

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Leads complex private banking data management and analytics initiatives, defining data strategies, quality standards, product attributes, and integrated client views. Partners with business, engineering, analytics, AI, and Wealth teams to translate needs into dashboards, KPIs, predictive models, personalized insights, and intelligent decision-making capabilities. Serves as a subject matter expert on private banking products while mentoring junior team members and enabling platform readiness.

Leads advanced analytics initiatives supporting sales, marketing, and operations strategy. Develops statistical and predictive models, dashboards, KPI reporting, and customer analyses using large datasets. Partners with stakeholders and data engineering teams to translate business questions into actionable insights, communicates findings to executives, and mentors junior analysts.

Leads advanced analytics for Airbnb’s Community Blueprint Quality team. Responsibilities include diagnosing customer experience issues, designing experiments, applying causal inference, developing metrics, using LLMs to analyze unstructured data, building dashboards and analytical artifacts, and translating complex findings into recommendations for senior leadership. The role partners cross-functionally with Product, Engineering, Data Science, Data Engineering, Operations, and Finance.

Lead analytics strategy across eCommerce, content, advertising, and live events. Partner with executives to turn complex data into actionable business recommendations, identify opportunities and risks, shape the analytics roadmap, and guide data investments. Manage and develop a team of three analysts while using AI, automation, scripting, statistical analysis, and BI tools to accelerate decision-making and improve business outcomes.

Lead pricing analytics for merchant/platform deals and international market expansion. Define pricing strategy, run economic analyses, design and test pricing constructs, and collaborate with product, partnerships, credit, finance, capital markets, and engineering to optimize portfolio performance.