Top Data Analyst Jobs in Los Angeles, CA

Principal Data Analyst responsible for driving data-informed business strategy, leading end-to-end analysis, and building analytics foundations for a new product. The role includes designing data capture and pipelines, creating reporting-ready datasets, supporting governance and privacy, conducting statistical analysis, segmenting clients, partnering with product and engineering, communicating insights to executives, and mentoring analysts. The analyst will also use AI to improve effectiveness and establish reliable data sources.

Develop and maintain customer-facing reports, dashboards, data models, and reusable datasets. Use advanced SQL to investigate customer questions, validate metrics, resolve discrepancies, and improve data quality. Partner with Customer Success, Product, Data Science, and Data Engineering to standardize reporting, support QBRs and value realization, and convert recurring analyses into scalable, automated data capabilities.

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.

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.

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.

Leads Tableau administration, dashboard development, data integration, dataset preparation, analysis, and reporting. Translates complex findings into actionable insights, trains stakeholders, maintains data governance and security, and coordinates daily work assignments for Data Analysts. Requires strong Tableau and SQL expertise, data visualization skills, communication abilities, and experience handling confidential patient information.

Leads compensation analysis, market pricing, pay governance, annual compensation cycles, compliance audits, and data integrity between PayFactors and Workday. Provides executive-ready insights, develops compensation recommendations, manages cross-functional projects, maintains SOPs, supports survey submissions, and improves reporting and compensation processes. Partners with HR, Legal, and stakeholders to ensure competitive, equitable, compliant, and scalable compensation programs.

Manages product and item master data across enterprise systems, including setup, maintenance, validation, bulk uploads, audits, and quality checks. Investigates data issues, identifies root causes, coordinates resolutions, documents requirements and processes, and supports governance, system enhancements, testing, and implementation. Partners with supply chain, business, and technology teams to improve data quality, reduce manual work, and meet product data standards across markets and functions.

Analyze marketing campaigns, website performance, customer journeys, and A/B tests to measure ROI and identify growth opportunities. Build dashboards, monitor KPIs, apply statistical methods, and communicate actionable insights to marketing, product, and engineering stakeholders. The role requires SQL, Excel, Python, web analytics, visualization, e-commerce data, and experimentation expertise.

Performs data profiling, quality analysis, governance, metadata and lineage management, and Master Data Management support. Collaborates with data owners, stewards, business stakeholders, and technical teams to resolve issues and improve governance processes. Maintains glossaries, dictionaries, controls, metrics, and reports; supports enterprise data initiatives, communications, training, and stakeholder adoption. Provides guidance to less experienced analysts while applying governance standards and documenting business requirements.

Analyzes large, structured and unstructured datasets to support Marine Corps planning, command operations, and decision-making. Develops data methodologies, metrics, visualizations, reports, process maps, and information-management products. Advises clients and stakeholders, documents information flows and workflows, supports working groups, and creates dashboards and briefings using SQL, Databricks, Qlik, Tableau, AWS, and related tools.

Process railroad safety data from receipt through publishing, including logging submissions, scanning and transcribing paper forms, validating reports, and processing inspection and crossing inventory updates. Return incomplete submissions for correction and provide backup Help Desk coverage. The role requires accurate regulatory data processing, Excel proficiency, and basic SQL knowledge, with eligibility to pass a DOT background investigation.

Supports government program data collection and analysis by developing reports, dashboards, forecast models, automated reporting solutions, and briefing materials. Performs statistical analysis, data modeling, visualization, database development, documentation, and ad hoc reporting. Collaborates with government and contractor stakeholders, supports data collection tools, identifies performance indicators, and presents findings to agency leadership. The role is remote with potential future work at a Washington, DC government facility.

Supports analysis of personal lines product performance and competitive position. Gathers, validates, cleans, and organizes internal and external data; performs foundational statistical analysis; maintains reports, visualizations, spreadsheets, and dashboards; uses SQL and analytical code; documents methods and findings; collaborates with Product and cross-functional teams; and contributes to defined-scope projects and process improvements under guidance.

Analyzes, cleans, transforms, and interprets lender data for Market Scan software systems. Builds and maintains databases, data collection systems, reports, and analytical tools; identifies trends, resolves data quality issues, monitors performance, and recommends process improvements. Collaborates with management to prioritize information needs and uses Excel Power Query, SQL, VBA, and related software to improve data-processing efficiency and accuracy.

Analyze internal and external data to support clinical trial design, placement, and execution. Build integrated datasets, visualizations, queries, taxonomies, and recommendations using clinical and real-world data. Partner cross-functionally to improve data quality, standardize trial design practices, automate analytical capabilities, evaluate real-world data assets, and manage related vendor relationships and contracts.

Leads fraud analytics strategy for digital payments, defining risk frameworks, fraud metrics, and analytical models. Partners with Product, Engineering, and Risk Operations to turn insights into scalable fraud mitigation solutions. Manages external data sources, defines requirements for production data pipelines, and establishes best practices for risk measurement and modeling. Serves as a senior thought leader influencing cross-functional stakeholders and executive decision-makers.

The HR Data Analyst develops and maintains workforce dashboards, KPIs, reports, and automated analytics solutions. They analyze employee lifecycle, engagement, retention, talent, learning, rewards, and HR operations data to identify trends and provide recommendations. The role partners with HR and business leaders, presents insights, ensures data quality and compliance, and improves reporting processes through governance, validation, automation, and data modeling.

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.

Analyzes claims data to identify trends, patterns, risks, and business opportunities. Retrieves, validates, and prepares data from multiple databases; creates reports, dashboards, visualizations, spreadsheets, and presentations; supports forecasting and reporting needs; collaborates with claims, underwriting, product, IT, and leadership teams; and communicates recommendations for business decisions and process improvements.

Build Python and SQL data pipelines, maintain data integrity, automate dashboards and reporting, and deliver actionable analytics. Develop AI- and LLM-assisted workflows for data enrichment, classification, summarization, and process automation. Support leadership decision-making, sales, customer success, and internal efficiency while communicating insights to nontechnical stakeholders. Evaluate, document, and monitor AI solutions for accuracy, cost, risk, and auditability.

Analyzes marketing data to guide investment decisions, improve campaign performance, segment customers, support A/B testing, and identify conversion opportunities. Builds dashboards and reports, maintains metric definitions and data quality standards, investigates anomalies, and communicates actionable insights to sales, marketing, and global operations partners.

Analyze case, client, and financial data to build Power BI dashboards, executive and client reporting, recurring Excel deliverables, SQL analyses, and lightweight automations. The role investigates discrepancies, supports ad hoc business questions, documents metric definitions, and partners with operations, sales, finance, and leadership to improve reporting and reduce manual work.

Owns the CX Operations data foundation in Snowflake by designing architecture, governance, data quality standards, and reusable dbt models. Leads complex analyses, dashboards, scenario planning, and executive communication while mentoring analysts and partnering with engineering and strategy teams. Supports AI enablement by creating trusted data models, evaluation standards, and agent performance tracking.

Supports a defense aviation modernization program by integrating and analyzing complex program data across cost, schedule, risk, logistics, testing, configuration management, and cybersecurity. Develops dashboards and executive reports, performs KPI and performance analysis, supports program reviews and aircraft integration efforts, tracks test results and corrective actions, and automates reporting processes. Requires extensive DoD or aerospace experience, aircraft modernization expertise, and an active Secret clearance.