Data Analyst - hybrid - 40 hours per week at CET Careers
Walsall WS1 1NR, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

12 Nov, 25

Salary

40000.0

Posted On

12 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Microsoft Power Bi, Communication Skills, Operations, Excel, Business Value

Industry

Information Technology/IT

Description

To apply for this Data Analyst role, applicants must submit a personally written CV and cover letter. We kindly ask that you do not use AI writing tools (e.g. ChatGPT, Gemini, etc.) to generate or assist with your application materials. We are looking to understand your authentic voice, experience, and motivation, and value genuine, individual expression over polished, generic responses. Applications that appear AI-generated may not be considered.
Working for CET is many things – exciting, challenging, rewarding, occasionally frustrating, - but it’s never dull. You’ll work with a diverse mix of people in a buzzing atmosphere and be part of a welcoming, inclusive community.

REQUIRED SKILLS & EXPERIENCE

  • Strong proficiency with Microsoft Power BI
  • Experience with Power BI Report Builder (Paginated Reports) is desirable
  • Experience with Microsoft Power Automate is desirable
  • Data engineering experience in Python, and Azure Functions is desirable.
  • VBA Proficiency in Excel, with strong analytical and data manipulation skills.
  • Strong communication skills, both written and verbal, with the ability to translate data into business value.
  • A detail-oriented mindset with a focus on accuracy, integrity, and process documentation.
  • Ability to work independently and collaboratively in a fast-paced environment.

DESIRABLE QUALIFICATIONS

  • Degree in a quantitative discipline (e.g., Mathematics, Data Science, Economics, Engineering).
  • Experience working in a finance, operations, or client reporting environment.
Responsibilities

You would be required to prepare and analyse data into actionable insights that business decisions. The role combines data engineering and analytical responsibilities with a strong focus on stakeholder engagement, report automation, and business performance monitoring.
Key Responsibilities

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