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Data Analyst

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Data Freelance Hub
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Analyst, Database Administrator, Data Warehousing, Data Engineer
Salary/Wage Range or Industry Benchmark: 26 USD Hourly USD 26.00 HOUR
Job Description & How to Apply Below

⭐ - Featured Role | Apply direct with Data Freelance Hub

Data Analyst – San Diego, CA
Duration: 12‑month contract (high possibility of extension)
Pay: $26.00 per hour

Shift: 8:00 AM – 5:00 PM (Monday‑Friday)
Commute:
Required – 92121 ZIP code

Responsibilities
  • Provide operational support for day‑to‑day business activities for the Product Release Team (PRT) and the Product Data Supervisor.
  • Assign item/catalog numbers and input and maintain relevant data in the ERP system.
  • Provide technical support to perform data analysis and preparation that contributes to data reporting and overall data integrity.
  • Ensure all item‑related data is available in the necessary systems and legal entities.
  • Help with process improvement and automation initiatives.
Required Skills
  • Database entry or management experience (min. 1 year).
  • Microsoft Excel proficiency.
  • ERP experience (min. 1 year; hands‑on preferred).
  • Jet Report / Power BI knowledge.
  • SQL or understanding of if/then logic‑based statements.
  • PIM/MDM knowledge (preferred).
  • Attention to detail, critical thinking, and strong communication.
  • Ability to work well in a team environment.
  • Knowledge of the biotech industry, biology, and/or immunology (preferred).
  • Knowledge of manufacturing practices and bills of material (preferred).
Qualifications
  • Bachelor’s degree (completed or completing soon) in any major, preferably data or biology.

#Data Integrity #Data Governance #Data Management #MDM (Master Data Management) #BI (Business Intelligence) #Automation #Database Management #SQL (Structured Query Language) #MS SQL (Microsoft SQL Server) #Microsoft Excel #Microsoft Power BI #Data Analysis

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