Top Data Analyst Jobs in Los Angeles, CA

Develop and enhance data analytics solutions for Internal Audit, including automated testing, continuous monitoring, dashboards, reporting, risk analysis, and anomaly detection. Partner with audit teams, data owners, and stakeholders to analyze complex data, document procedures and findings, improve audit processes, and evaluate responsible applications of AI, machine learning, and automation.

Analyzes logistics, inventory, fulfillment, transportation, and distribution data for an omni-channel pet product network. Develops dashboards, scorecards, and reports; identifies performance gaps and root causes; supports inventory, replenishment, capacity, and demand planning; validates ERP and WMS data; coordinates shipments with distribution centers, vendors, and carriers; and recommends process improvements to enhance delivery performance, cost efficiency, compliance, and operational effectiveness.

Lead finance data governance, quality validation, reconciliation, SOX control execution, audit support, and finance-system integration initiatives. Define data standards, lineage, controls, and validation criteria across ERP, subledger, reporting, and interface environments. Partner with Accounting, Finance, Technology, and business teams on requirements, testing, cutover, defect resolution, change management, and post-production validation to ensure accurate, complete, traceable, and reliable financial data.

Build and maintain Finance dashboards, reports, and scalable data models for invoicing, revenue, collections, payments, refunds, and forecasting. Reconcile data across production systems, Salesforce, Rillet, Metabase, and financial reporting. Establish data quality controls, resolve discrepancies, and keep system definitions aligned. Translate ambiguous business questions into actionable financial insights while communicating findings to technical and non-technical stakeholders.

Manage product and item master data across enterprise systems, including setup, maintenance, bulk uploads, validation, audits, and data quality reviews. Investigate root causes of data issues, coordinate resolutions with business and technology teams, document requirements and processes, and support system enhancements and user acceptance testing. The role also contributes to data governance, process improvement, regulatory and industry data standards, and global supply chain initiatives.

Leads end-to-end experimentation and behavioral analysis for streaming product user experiences. Defines metrics, designs and analyzes A/B tests, conducts power analysis, studies user engagement, builds dashboards, and delivers recommendations to product managers and executive stakeholders. Uses advanced SQL and Python to analyze behavioral data at scale, with Looker and Tableau for visualization and monitoring.

Leads analytics projects evaluating Disney streaming product performance and user engagement across Hulu and Disney+. Analyzes navigation, pathing, subscriber, content, messaging, and churn data; investigates anomalies and root causes; develops optimization recommendations; partners with Product, Engineering, and Data teams; and creates Tableau and Looker dashboards and reports. Applies advanced SQL, statistical methods, Python or R, data warehousing concepts, and compelling stakeholder communication to deliver actionable insights.

Build and maintain Engine X performance dashboards, reporting frameworks, data models, and complex SQL analyses using Snowflake. Track card, booking, rewards, spending, and retention metrics; investigate anomalies; support A/B tests; document metric definitions; and communicate findings to product, finance, and leadership. Collaborate with analytics and data engineering teams to validate pipelines and improve data quality.

Provides data analytics consulting for enterprise clients using Dynatrace observability, digital experience monitoring, and business analytics data. Manages client relationships, performs ad hoc analysis, creates reports and dashboards, presents findings to technical and executive audiences, configures tools, trains users, and influences product improvements. The role translates complex performance and engagement data into strategies that improve digital experiences and business outcomes.

Manage a team of 2–3 analysts while remaining hands-on with SQL, dbt models, dashboards, and complex operational analyses. Lead ambiguous, cross-functional initiatives, deliver recommendations to senior stakeholders, ensure data quality, and improve reporting automation. Partner on AI analytics strategy, data readiness, agent evaluation, and human-in-the-loop governance. Responsibilities include coaching, prioritization, performance management, technical review, KPI development, and operational insights across customer experience, fraud, payments, workforce management, and VIP functions.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

Analyze live game performance, player behavior, retention, engagement, and monetization. Build dashboards, write SQL queries, conduct A/B tests, establish telemetry and analytics practices, and communicate actionable recommendations to LiveOps, design, publishing, and executive stakeholders. Support data-driven optimization of game features, events, promotions, and in-game economies across development and post-launch stages.

Supports management and optimization of insurance agency management systems, including AMS360 and ImageRight. Responsibilities include system design, workflow implementation, acquisition data migration, data governance, quality improvement, automation partnerships, and collaboration with IT, service, broking, operations, and newly acquired businesses.

Perform structured data conversion, cleansing, validation, and mapping for system implementations. Execute validation scripts, support UAT, document discrepancies, reconcile legacy and converted data, and escalate anomalies to senior consultants while maintaining organized records and templates.

Develops Power BI dashboards, SSRS reports, data models, KPIs, and healthcare analytics solutions. Uses advanced SQL and Python to transform, analyze, and optimize large healthcare datasets. Performs exploratory analysis, ensures data quality and governance, supports reporting and production issues, and communicates insights to technical, business, client, and executive stakeholders. Collaborates across Product, Engineering, Client Services, and Operations teams in Agile delivery environments.

Supports data collection, statistical analysis, interpretation, visualization, and reporting for a government program serving care-provider networks. Develops data collection tools, identifies performance indicators, ensures analytical report quality, presents findings to leadership, provides ad hoc reporting, trains staff, and contributes to data repositories and databases. Uses platforms such as Tableau or Power BI, scripting languages, SQL, Excel, and VBA. The role is remote, may require future government-site work, and requires an existing or obtainable Public Trust.

Supports fintech partnership financial analytics through deal modeling, profitability analysis, forecasting, KPI monitoring, budget tracking, variance analysis, and executive reporting. Evaluates deposit balances, net interest income, fee revenue, pricing, and client economics across gaming, payments, acquiring, issuing, and banking-as-a-service verticals. Collaborates with Sales, Account Management, Finance, Treasury, Data teams, and leadership to inform deal decisions and improve portfolio performance.

Supports public health data extraction, management, quality assurance, cleaning, validation, harmonization, documentation, and statistical and qualitative analysis. Develops analytic datasets and evaluates program implementation, reach, fidelity, dose, adaptation, and outcomes. Integrates mixed-methods data, interprets findings, prepares technical memoranda, reports, presentations, tables, and figures, and communicates recommendations to program stakeholders. The role also uses Microsoft Office and CDC administrative systems and requires obtaining and maintaining customer clearance.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Leads stop loss claims data coordination for primary clients, identifies claimants, prepares claim-entry data, builds dashboards, presents insights to leadership, and drives continuous improvement initiatives. Requires at least three years of claims data analysis or operations experience, specific stop loss claims expertise, and a bachelor’s degree in Business or Analytics or comparable experience.

Leads advanced analytics initiatives supporting Tribal healthcare programs and strategic decision-making. Develops predictive and prescriptive models, integrates complex data sources, establishes data quality frameworks, evaluates healthcare data resources, and produces reports and dashboards. Coordinates cross-functional projects, ensures federal compliance, supports quality measurement, mentors junior staff, and may serve as a team lead.

Analyzes data from internal and external sources to identify business performance trends, root causes, and improvement opportunities. Builds dashboards, visualizations, reports, and business intelligence tools for stakeholders in the fintech space. Partners with internal teams to define data needs, communicate findings, recommend operational improvements, and support the UX/UI experience of data products.

Leads marketing measurement strategy through geo holdout and incrementality testing, forecasting, experimentation, and statistical analysis. Partners with Marketing, agencies, and Data Science to guide channel budgets and campaign decisions. Queries large-scale data using SQL and Python in Databricks and BigQuery, develops measurement models, automates analyses with AI tools, and mentors analysts while providing technical leadership.

Profiles and analyzes data sources, documents end-to-end lineage, maps source data to canonical models, and supports API schema design. Develops data quality, validation, metadata, and governance documentation while collaborating with engineers, architects, clients, and stakeholders to define clear technical requirements for enterprise data products, APIs, and analytics.

Provides data analysis and reporting support for the health vertical. Responsibilities include creating visualizations, automating reports and audits, analyzing web, email, and app engagement data, conducting retention and A/B testing analyses, supporting time-sensitive business requests, and developing expertise in assigned business areas. The role also evaluates how AI can improve analytical workflows and requires collaboration across project teams.