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Paid Internship
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Time Spent
Required Degree
Duration

14Open Positions

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Technical Data Analyst – Undergraduate Placement (12 Months)

PRGX Global Inc.
Found 1 month ago
Location
Remote, United Kingdom
Duration (Months)
12 Months
Time
Full-time
Work Mode
Remote
Salary
Not disclosed
Visa Help
Only UK
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • SQL Server
  • SSMS
  • SSIS
  • Trino
  • Power BI
  • SSRS
  • Excel
  • Python
  • VBA
  • SAP
  • Oracle
  • Teradata
  • Snowflake

Soft Skills

  • Strong interpersonal skills
  • Strong problem-solving abilities
  • High attention to detail and accuracy
  • A mindset focused on continuous improvement and learning

Job Description

• Work with large datasets, performing ETL activities, data transformation and data quality tasks • Build scripts and assist in designing process improvements for internal and external stakeholders • Support the Operations team through analytical insight and problem-solving activities • Assist with technical and data-driven queries from internal teams and clients • Produce accurate documentation, reports, and technical notes • Collaborate with external clients—many of them major retail brands—on bespoke analytical queries • Gain hands-on experience with SQL Server, SSMS, SSIS, Trino, Power BI, SSRS, Excel, Python, VBA, SAP, Oracle, Teradata, and Snowflake • Participate in wider PRGX placement activities, including social and CSR initiatives • Other duties as assigned.

Requirements

  • Undergraduate student enrolled in Computer Science, Mathematics, or another numerate degree with a mandatory placement/sandwich year
  • Strong interpersonal skills with the ability to communicate effectively and build strong working relationships
  • Strong problem-solving abilities and confidence working both independently and in a team
  • High attention to detail and accuracy
  • A mindset focused on continuous improvement and learning
  • No prior technical experience required, but advantageous

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • SQL Server
  • SSMS
  • SSIS
  • Excel / Office 365
  • Python or VBA
  • Data visualisation tools such as Power BI or Tableau
  • Jira or similar project management tools
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