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Data analyst apprentice

Cheadle (Staffordshire)
Getting In Limited
Data analyst
Posted: 19h ago
Offer description

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Data Analyst Apprentice

Apply From: 29/06/2025


Learning Provider

Delivered by NOWSKILLS LIMITED


Employer

NO.1 COPPERPOT CREDIT UNION


Vacancy Description

* Support the IT Manager in planning and execution of the new data/reporting strategy and improvement initiatives.
* Responsible for the delivery of new reports and dashboards across the Credit Union.
* Develop and implement databases, data collection systems, and data engineering solutions that optimise reporting efficiency and clarity.
* Acquire data from primary or secondary data sources and maintain databases/data lakes.
* Interpret data, analyse results using statistical techniques, and provide ongoing reports.
* Identify, analyse, and interpret trends or patterns in complex data sets.
* Filter and “clean” data by reviewing raw data, reports, and performance indicators to locate and correct code problems.
* Work with management to prioritise business and information needs.
* Locate and define new process improvement opportunities.


Key Details


Vacancy Title

Data Analyst Apprentice


Employer Description

No1 CopperPot Credit Union is a not-for-profit organisation, exclusively for the Police community and owned by its members. No1 CopperPot makes it simple to save, provides affordable loans, and can help a member buy or remortgage their home. Here’s why you’ll love working with us and what we need from you.


Vacancy Location

SLATER HOUSE OAKFIELD ROAD CHEADLE SK8 3GX


Wage Frequency

Custom


Number of Vacancies

1


Vacancy Reference Number

1000327977


Key Dates

Apply From: 29/06/2025

Closing Date For Applications: 2025-07-20 23:59:59

Interview Begin From:

Possible Start Date: 2025-08-20 00:00:00


Learning Provider

NOWSKILLS LIMITED


Skills Required

Communication skills, IT skills, Organisation skills, Problem solving skills, Analytical skills, Team working, Initiative, Skills in Excel, Experienced in data, understanding of data concepts, knowledge of SQL, Programming languages, Microsoft Excel, Power BI knowledge

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