Top 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.

Supports client-focused data analytics projects within PwC’s Advisory practice. Responsibilities include analyzing datasets, researching information, developing data-driven insights, using Alteryx and Power BI to automate processes and create visualizations, developing algorithms, creating KPI dashboards, applying data mining techniques, and integrating data from multiple sources. The intern will learn PwC methodologies, collaborate with experienced professionals, and gain exposure to AI, cloud platform design, and data architecture.

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.

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.

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.

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 wireless offer performance and investment efficiency. Analyzes diverse data sources, evaluates profitability, customer quality, spend, growth, and forecast accuracy, and applies statistical, predictive, trend, and scenario modeling. Develops test-and-learn frameworks, dashboards, scorecards, and executive insights. Partners with Offer Strategy, Finance, Marketing, and leadership to guide offer design, targeting, pricing, budget allocation, forecasting, OEM negotiations, and investment decisions.

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.

Supports Device and Product Engineering teams by collecting, organizing, and tracking wafer lot data across GaN and SiC products. Assists with basic wafer- and part-level yield calculations, database or spreadsheet maintenance, data validation, lot status tracking, and creation of simple charts and trend summaries. This learning-focused internship provides exposure to semiconductor manufacturing data and practical analytics skills.

Own the analytical function for a business unit across growth, product, AI and automation, or strategic partnerships. Define business problems and metrics, build reports, conduct analyses and experiments, generate insights, and drive decisions through execution. The role requires independently structuring data, solving ambiguous problems, communicating recommendations to senior stakeholders, and influencing outcomes across product, growth, finance, and operations.

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.

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.

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.

Analyze play-test telemetry and research data to support game development decisions. The intern will query, join, validate, and summarize datasets; understand telemetry schemas; build JavaScript and Apache ECharts visualizations; conduct data-quality checks and ad-hoc analyses; integrate telemetry with survey data; and communicate findings to researchers, designers, and other nontechnical partners.

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.

Serves as the technical and client-facing link between Inca Digital’s data engine and high-stakes financial and government clients. Conducts OSINT, web scraping, enhanced due diligence, blockchain and crypto investigations; analyzes large datasets; audits and synthesizes technical findings into intelligence reports; briefs executive stakeholders; and coordinates cross-functional teams to align products with client needs.

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.

Leads a team of business and data analysts while owning the analytics roadmap for commercial, sales, and go-to-market functions. Translates business needs into analytical frameworks, KPIs, dashboards, models, and reporting strategies. Partners with senior stakeholders and cross-functional teams to drive data-informed decisions, governance, quality, and best practices. Provides mentorship, oversees solutions using modern data tools, and presents recommendations supporting planning, forecasting, and execution.

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.