Top Entry Level Data & Analytics Jobs in Los Angeles, CA

This position involves supporting client-based data analytics and engineering projects, utilizing SQL, Python, or R, and presenting findings clearly.

The Business Analyst will manage Excel data, extract and format information from systems, and prepare reports for finance based on specific criteria.

The role involves technical design and implementation of call routing, IVR systems, performance management, and database solutions primarily using Genesys tools and various database technologies.

Support the Nuclear Material Control & Accountability program by performing statistical calculations, tracking and verifying measurement data, estimating uncertainties, designing MC&A reporting forms/spreadsheets, assisting physical inventories and reconciliations, and preparing compliance reports while working with engineers and safeguards staff.

Provide first-level support for data extraction issues and develop BW objects including Info Providers and Transformations.

Develop and maintain Palantir Foundry data pipelines, transformations, Ontology models, workflows, data products, and user-facing applications. Integrate structured and unstructured data from enterprise systems and cloud platforms using Python and SQL. Implement data quality, governance, metadata, lineage, testing, and validation practices while collaborating with technical and business stakeholders. Support Agile development, documentation, modernization, AI-enabled analytics, troubleshooting, and federal data solutions.

Clean, standardize, enrich, and import product data into the PIM while maintaining data integrity and governance standards. Oversee bulk ingestion processes, leverage AI and automation, support data model improvements, resolve product listing issues, and contribute to data hygiene and workflow modernization. The role also involves collaborating with client-facing teams, documenting processes, proofreading product data, communicating progress, and adapting to changing priorities.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Manage and mentor a data engineering team while leading Snowflake-based platform architecture, enterprise data integrations, governance, observability, and pipeline reliability. Partner with analysts, business leaders, product management, and engineering teams to improve trusted self-service data access. Establish engineering standards, modernize the data stack, optimize costs, and deliver an AI-ready data foundation supporting analytics, reporting, and future AI initiatives.