Top Data Analyst Jobs in Los Angeles, CA

Lead complex data analysis across Liftoff’s supply-side business, using optimized SQL on large-scale datasets and BI tools to build dashboards, reporting pipelines, and actionable insights. The role conducts root-cause analysis, evaluates experiments, translates technical developments into business impact, leads cross-functional initiatives, and mentors analysts. It partners with Engineering, Product, Data Science, Finance, Commercial teams, and executive leadership to influence roadmap and operational decisions.

Owns marketing and go-to-market analytics, KPI definitions, attribution, campaign and sales-play measurement, scoring-model evaluation, dashboards, and weekly leadership reporting. The role reconciles Salesforce, HubSpot, and attribution data; partners with data teams on source-of-truth datasets; and builds AI-powered analytics agents, automated reporting, anomaly alerts, and data-quality processes to guide budget and pipeline decisions.

Analyze, clean, validate, and reconcile data to produce dashboards, reports, metrics, SQL queries, analytical datasets, and business insights. Partner with stakeholders to define requirements, investigate trends and anomalies, validate data models and workflows, improve data quality, and establish scalable analytics standards and documentation.

Analyzes large datasets to identify revenue trends, variances, and pricing opportunities. Builds data models, validates data quality, applies data mining techniques, and creates reports and presentations for stakeholders and senior management. Collaborates with analysts, business partners, and IT to deliver actionable revenue management insights and support pricing strategies.

The Data Analyst will analyze player behavior, web and game usage data, and business processes to generate actionable insights. Responsibilities include data exploration and validation, metric development, visualization, statistical analysis, experimentation, stakeholder collaboration, and presenting recommendations that improve user experience and business growth. The role also involves translating data needs into specifications and developing skills in data cloud technologies, data science, storytelling, and AI.

Analyze mobile app activation, feature adoption, onboarding, engagement, retention, funnels, cohorts, and A/B tests. Build SQL and dbt models, dashboards, and self-service reports using BigQuery and GCP. Partner with product and engineering teams on instrumentation, identify data issues, automate reporting with AI tools, and communicate actionable insights to nontechnical stakeholders.

Owns end-to-end customer analytics workstreams, including KPI frameworks, multi-source dashboards, reporting, data governance, quality assurance, and insight delivery for government digital communications programs. Presents recommendations to stakeholders, mentors junior analysts, leads Agile ceremonies, documents analytics practices, resolves data issues, and evaluates AI-assisted analytics tools.

Supports the Indian Health Service EHR modernization program by mapping legacy reports to new Oracle Health functionality, explaining reporting and analytics capabilities, documenting workflows, supporting data governance, and gathering requirements. Serves as a healthcare IT subject matter expert coordinating with stakeholders, vendors, and implementation teams. Requires extensive healthcare reporting and analytics experience, Oracle Health EHR knowledge, complex project management experience, Public Trust Level 5 eligibility, and travel up to 25%.

Manages sales incentive compensation data, Workday quality, Fusion configuration, eligibility records, KPI processes, financial modeling, reporting, audits, payroll uploads, and incentive payments. The role supports plan implementation, data validation, participant communications, system training, employee movement updates, and quarterly calculations. It collaborates with People Operations, Finance, HR, leadership, and external vendors to ensure accurate incentive payouts and reporting.

Analyze supply chain, marketing, brand, and customer service data for a DTC e-commerce business. Build inventory forecasting models, evaluate promotions and product launches, track customer service performance, transform Snowflake data using SQL and related tools, and develop Sigma dashboards. Partner with Supply Chain, Customer Service, Brand Marketing, and Data Engineering teams to improve forecasting, fulfillment, customer experience, and strategic decision-making.

Analyze and reconcile e-commerce financial data across payment processors, banks, accounting systems, and internal databases. Build revenue, expense, order, and renewal forecasts; produce P&L, unit economics, budget-versus-actual, and variance reporting; support month-end close; and investigate discrepancies. Transform Snowflake data using SQL and tools such as KNIME or dbt, define financial metrics, and create Sigma dashboards for Finance and leadership.

Conduct geospatial and molecular HIV data analysis using R, SQL, or Python; manage, merge, validate, and document datasets; support data governance, reporting, and dissemination; and develop or maintain Power BI dashboards. Collaborate with analysts, review data quality issues and error logs, document corrections, and provide project updates while supporting CDC public health surveillance initiatives.

Develop and maintain Tableau dashboards, data visualizations, analytics solutions, and reporting tools. Clean and transform data using Databricks, SQL, and Python; identify workflow automation opportunities; and partner with stakeholders to deliver analytics and AI use cases. The role also involves client presentations, requirements gathering, business development support, and federal government consulting.

The Finance Data Analyst manages finance ETL processes, reconciles enterprise data warehouse outputs, investigates discrepancies, and validates insurance financial data. Responsibilities include SQL-based analysis of premiums, commissions, taxes, fees, and payments; building automated controls and exception reports; supporting Finance reporting and close activities; documenting data processes; and partnering with Finance and data engineering teams to improve data quality and reliability.

Develops dashboards, data models, reports, and analytical solutions that transform raw data into actionable business insights. Partners with stakeholders, provides technical guidance, documents architectures and processes, troubleshoots analytics solutions, and communicates findings to technical and non-technical audiences. Requires advanced Spotfire, SQL, business intelligence, and data analytics expertise, with knowledge of Databricks, Power BI, Python, R, Salesforce, and modern data architecture.

Reviews and analyzes large business datasets for accuracy, completeness, relevance, privacy, and quality. Conducts document reviews involving PII, identifies data issues and anomalies, provides feedback to support AI training, refines quality assurance standards, and communicates findings to project stakeholders while maintaining data privacy and security compliance.

Develops enterprise Tableau dashboards, executive scorecards, and KPI reporting using advanced SQL and business intelligence techniques. Analyzes financial, operational, lending, and member data; performs forecasting, statistical analysis, data validation, and root cause analysis. Partners with executives and stakeholders to translate business needs into scalable reporting solutions, communicates actionable insights, supports data governance, and mentors junior analysts.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Performs post-visit clinical research data management and imaging quality review, including uploading echo images, resolving data queries, checking completeness and integrity, supporting database locks, maintaining trial documents, escalating data issues, identifying potential adverse events, and training sonographers. Collaborates with cardiology, sonography, clinical operations, and project management teams while ensuring compliance with GCP and applicable regulations.

Owns analytics for BILL’s payments products, setting the measurement agenda, defining KPIs and OKRs, building production-grade dbt models, and conducting experimentation and causal inference. Partners with Product, Engineering, Finance, Marketing, and leadership to identify opportunities, improve data quality, automate reporting, and influence roadmap decisions. Presents executive insights and defends metric definitions and recommendations.

Processes client-requested data changes, creates data transfer packages, and writes SQL queries against Microsoft SQL databases. Conducts risk assessments, verifies data updates and transfer datasets, creates stored procedures, monitors data across databases, and supports clinical study implementation. Requires strong attention to detail, documentation, communication, prioritization, and occasional after-hours technical support.

Processes monthly Medical Expense and Performance Reporting System data across financial, labor, workload, and electronic health record systems. Performs data quality reviews, variance analysis, reporting, transmission, and troubleshooting for Defense Health Networks and Military Treatment Facilities. Develops Excel-based analytical tools and reports, supports MEPRS coordination, attends related meetings and site visits, and recommends performance improvements. Requires knowledge of DoD financial management, cost accounting, MEPRS procedures, and associated defense healthcare systems.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Staff Data Analyst leading complex, cross-functional analytics initiatives and executive-level decision support. Responsibilities include defining metrics, building scalable data models and infrastructure with dbt, ensuring data quality and governance, developing analytical roadmaps, mentoring analysts, improving data literacy, and advising Sales, Marketing, Finance, and Operations stakeholders.

Analyzes pharmacy benefit management claims, application engagement, and clinical program effectiveness. Develops advanced analytics, reporting frameworks, automated data tools, and scalable data processes; investigates reporting variances; and delivers insights to clients and internal stakeholders. The role also supports strategic decision-making, gathers requirements, identifies analytic product opportunities, and mentors junior analysts.