Top Data Analyst Jobs in Los Angeles, CA

Design and deliver complex BI solutions and analytics to support Medicare risk adjustment programs. Build dashboards, reports, and data marts using SQL, Snowflake, and ETL (SSIS); apply advanced analytics and scripting (Python/Batch); gather requirements, perform testing and peer reviews, lead project/functional teams, and collaborate with DBAs, data modelers, and system admins to implement data strategy and solutions.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

Support data collection, cleaning, and preliminary analysis. Write and run SQL queries, use statistical tools and Python, produce visualizations, document methods, troubleshoot analytics tools, and collaborate with cross-functional teams to deliver actionable insights.

Perform analytics and reporting for e-commerce and retail distribution and transportation. Produce daily/weekly/monthly reports, analyze carrier and warehouse performance, prepare carrier rate tables, support RFPs and carrier recommendations, track freight spend and shipments, and identify supply chain process improvements.

Analyze large datasets to identify pricing trends and variances, build and maintain data models, ensure data quality, and produce reports and presentations to support revenue management and pricing decisions.

Support global Quality, Safety, and Sustainability brands by analyzing data, creating visual stories and dashboards (Tableau), presenting insights to stakeholders, mentoring teams, and managing multiple analytics projects to drive product quality improvements.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

Own people analytics for recruiting and HR: define metrics and data model, build dashboards and reports, ensure data quality and governance, run ad-hoc and deep-dive analyses, and partner with engineering and People leadership to scale People data and AI tooling.

Lead ownership of client billing data and infrastructure for Finance: run reconciliations, investigate billing issues, build BI dashboards, automate workflows with SQL/Snowflake, monitor revenue leakage, and support Billing 2.0 UAT while training Finance on reporting and Looker standards.

Build and maintain Power BI reporting products, integrate and validate institutional data, conduct applied quantitative and qualitative research, deliver analyses and visualizations, manage projects and reporting standards, and support cross-organization analytics and stakeholder decision-making.

Own and maintain Dermalogica's global reporting and analytics ecosystem. Build, validate, and troubleshoot Power BI/Tableau dashboards and data flows, ensure data quality and governance across sell-in/sell-out datasets, provide ad hoc analysis and monthly performance tracking, and develop analytical models to inform global strategy and identify growth opportunities.

As a Data Analyst Intern, you will assist in data collection, cleaning, analysis, and visualization to support business decisions in a remote setup.

The Senior Marketing & Data Analyst will lead complex analytics projects, perform data analysis and reporting, ensure data integrity, and provide actionable insights based on market data to optimize business processes and inform decision-making.

Lead strategic analytics and partner with senior leadership to drive growth, margin, and retention initiatives. Build interactive reporting (Python/Streamlit, BigQuery-connected Google Sheets), perform deep EDA in Jupyter, model and clean data with SQL and dbt, integrate secure AI-assisted tools and automation, ensure analytical quality, and translate insights into measurable business outcomes.

Analyze large training and telemetry datasets using SQL and Python to measure ROI and human risk, build executive dashboards in Looker/Tableau, audit data integrity, run behavioral analyses to identify high-risk cohorts, and present actionable insights to federal stakeholders while partnering with Data Engineering and Product.

Build, validate, and submit funder and district reports; produce and maintain dashboards, KPIs, and ad-hoc analyses to inform program and operational decisions; partner with program, compliance, and data teams to ensure data quality and reproducible, audit-ready reporting while complying with FERPA and student data privacy requirements.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

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.

Lead enterprise insurance analytics initiatives supporting underwriting, claims, finance, and operations. Build reporting and dashboards, ensure data integrity across TPAs and systems, support captive program performance, partner with actuary and IT, and present actionable insights to leadership.

Perform product and player-behavior analysis for Marvel Strike Force using SQL/Python and reporting tools. Build recurring KPI reports, design/validate analytics tracking and experiments, partner with cross-functional teams, and use AI-enabled tools to accelerate workflows while ensuring data quality, privacy, and clear executive-ready insights.

Analyze commercial campaign performance, build dashboards and reports, provide actionable insights for Client Services and Sales, manage target lists and data quality, and improve reporting through automation and AI-enabled tools to support commercial growth.

Collect, analyze, and interpret complex data; develop and maintain databases and data processes; build reports, dashboards, and visualizations; collaborate with stakeholders and data teams; implement data and statistical models to solve business problems; stay current with tools and industry trends.

Collect, analyze, and interpret complex data; develop and maintain databases, data processes, models, and statistical algorithms; create visualizations, reports, and dashboards; collaborate with cross-functional teams; and stay current with industry tools and methodologies to inform business decisions.