2981 Data Analytics Specialist jobs in Los Angeles,CA

Data Analyst 2 [209358]

Aquent Talent

Los Angeles, CA

4 years of experience in supply chain planning, forecasting, analytics, or a related operations-focused role.
A degree in Engineering or Supply Chain, or a related field, is required.
Strong analytical and data modeling skills, with hands-on experience conducting exploratory data analysis and translating insights into recommendations.
Advanced Excel proficiency (pivot tables, complex formulas, data validation) and experience using reporting or data visualization tools.
Solid understanding of supply chain fundamentals, including demand-supply balancing, capacity planning, and operational execution.
Ability to evaluate data sources, assumptions, and analytical outputs, identifying gaps or improvement opportunities in models and analyses.
Strong written and verbal communication skills, with the ability to simplify complex findings for cross-functional stakeholders.
Proven ability to manage multiple priorities independently, meet deadlines, and operate effectively in a fast-paced, execution-driven environment.

Hire Standard Staffing

Los Angeles, CA

Must be a U.S. or Canadian citizen.
Comfortable using Zoom and other online communication tools.
No prior insurance experience is required — only a strong drive to succeed and a willingness to learn.

Premier Infusion and Healthcare Services

Torrance, CA 90504

Skechers™

Manhattan Beach, CA 90266

InterDent

El Segundo, CA 90245

Bachelor's degree in Data Science, Business Analytics, Finance, or a related field.
5+ years of experience in business intelligence, financial analysis, or data analytics, preferably in healthcare, dental, or multi-site organizations.
Advanced SQL skills for querying and analyzing large datasets.
Utilize BI tools (Power BI strongly preferred, Looker, or similar) to visualize financial and operational data, ensuring accuracy and clarity for stakeholders.
Familiarity with marketing attribution, mid funnel metrics, financial modeling, forecasting, and scenario analysis.
Familiarity with building AI agents using AI tools (such as Claude or ChatGPT) to assist with writing queries and code.
Business Analysis: Required business analysis skillset to QA and validate datasets and insights to build sustainable and replicatable analysis.
Vendor Management: Have experience working or directing third party vendors to drive development or analysis.
Business Acumen: Strong understanding of healthcare to include marketing, conversion, finance and establishing KPIs.