Data Analyst Apprentice at NowSkills
Liverpool L24, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

14 Aug, 25

Salary

17000.0

Posted On

14 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Working Experience, Java, Python, Microsoft Excel, R, Microsoft Power Bi, Analytical Skills

Industry

Information Technology/IT

Description

We are looking for a passionate Junior Data Analyst. The successful candidate will have a keen eye for detail, a willingness to learn and an understanding of the link between data, insights, and business decisions.

REQUIREMENTS AND SKILLS

  • A good understanding of data concepts, particularly around structured and semi-structuredata sets.
  • Theoretical knowledge of SQL language. Any working experience would be a plus.
  • Knowledge of at least one programming language. Python, R, Java, C#, etc…
  • Proficiency in the use of Microsoft Excel.
  • Experience of Microsoft Power BI would be a plus.
  • Understanding of ETL platforms would be a plus.
  • Strong analytical skills with the ability to collect, organise, analyse, and disseminate

significant amounts of information with attention to detail and accuracy.

  • Good level of Maths

Job Types: Full-time, Apprenticeship
Pay: £17,000.00 per year

Schedule:

  • Monday to Friday

Work Location: In person
Reference ID: Da-L2

Responsibilities

JUNIOR DATA ANALYST JOB DUTIES

Junior Data Analyst responsibilities involve taking part in full lifecycle analysis to include requirements, activities and design. Junior Data Analysts will develop data analytics and reporting solutions. They will also monitor performance and quality control plans to maintain robust data integrity and consistency.

RESPONSIBILITIES

· Develop and implement databases, data collection systems and data engineering lutions 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.

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