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

Lead data visualization initiatives by collaborating with clients, conducting exploratory data analysis, and developing dashboards in Palantir Foundry. Present insights to senior executives, participate in Agile sprints, and supervise or mentor junior team members. The role requires US citizenship, an active Secret clearance, client-facing data experience, strong communication skills, and travel up to 25% to Vandenberg, California.

Develops and delivers standard and customized client reports, validates performance data, creates new reporting solutions, and supports automation initiatives. The role investigates reporting issues, resolves client and internal requests, coordinates with IT, maintains documented processes, and assists with GIPS compliance, account setup, performance reporting, and related projects.

Analyzes market, competitive, demographic, real estate, and restaurant performance data to identify growth opportunities and support development strategy. Builds site packages with maps, aerials, forecasts, competitor trends, and impact analyses for review committees. Monitors market conditions, market share, competition, and development trends; presents strategic recommendations and partners with technology teams to maintain accurate data and mapping tools.

Maintain and troubleshoot Airtable systems, API integrations, dashboards, and automated reporting across financial, moderation, and production data. Validate integrations, resolve data-flow issues, maintain data standards and documentation, and support operational data reliability. The role is fully onsite and provides mentorship from a Senior Data Operations Architect.

Analyze operational systems and issues using SQL, statistical and mathematical modeling, simulations, and data analysis. The role defines data requirements, validates information, develops and tests operational models, evaluates alternatives, tracks process improvements, and advises management on solutions. Responsibilities span marketing, purchasing, logistics, and customer satisfaction, including preparing reports and presenting findings to department leaders.

Analyzes consumer demographics, purchasing behavior, marketing performance, industry trends, order structures, and SKU-level data. Develops demand forecasts using SARIMA, machine learning, clustering, XGBoost, regression, and time-series methods. Designs surveys, evaluates campaigns and ROI, measures customer retention, prepares operational and marketing reports, and presents findings to management. Supports marketing operations and recommendation-system improvements.

Develops data infrastructure, analytics solutions, prototypes, and enterprise data assets supporting data science and predictive modeling. Collaborates with data scientists, engineers, and business partners to define requirements, build and test solutions, support user acceptance, and deliver rapid data engineering work tracks. Uses SQL, Python, and Spark for agile data analysis and parallel processing. Also contributes to proof-of-concept designs, documentation, process improvement, and team mentoring.

Build and maintain sales and operations dashboards and reports using SQL, Python, and BI tools. Monitor data quality, perform deep-dive analyses to generate actionable insights, communicate findings to leadership, and support implementation of sales activities.

Build AI-assisted interactive data visualizations, calculators, simulations, and internal web applications using Claude Code, React, and live data integrations. Translate ambiguous stakeholder needs into prototypes, then deploy and improve production-quality tools with reliable data pipelines, authentication, and performance. Collaborate with data engineering, establish reusable development patterns, train analysts on code-first workflows, and replace legacy BI dashboards with purpose-built applications.

Enter, update, verify, and maintain data across company systems. Review and correct errors, organize digital and physical records, maintain confidentiality, generate reports, and perform basic data analysis. The role requires strong Excel skills, including PivotTables, lookup functions, logical and mathematical formulas, and data-cleaning tools. The associate will collaborate with team members, follow established procedures, meet deadlines, and maintain a high level of accuracy while handling large volumes of information.