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Data Analyst Apprentice ( Hybrid/Remote)

Reference SW209
Company Address: Manchester, United Kingdom , M3 2LH
Course Name:
Course Duration: 18 Months
Salary: £21,000
Start Date: 25/03/2024


The Data Analyst reports into the Business Intelligence Analyst. The purpose of this role is to work across a variety of departments delivering data and actionable insight that helps to improve company performance.


Your main duties will be:

  • To create relationships with key stakeholders across all departments and provide them with valuable insight as to how their department is performing.
  • Collate data for reports and dashboards based on the business needs utilising different platforms of data. (Operator platforms, Google Analytics, Google DataStudio, Sports and betting stats sites etc.)
  • Help provide in-depth reporting and analysis across a variety of KPIs for internal stakeholders and external third parties.
  • Help create and implement models and simulations, and support with up-to-date data.
  • Help support stakeholders with any ad-hoc analysis that may be required
  • Help develop tools and processes that improve insight and analytical capabilities of the business.
  • Verify data and reports to ensure they are complete and accurate.
  • When required liaise with third parties with regards to reporting and data issues.

Essential experience and skills required:

  • A passion for sport and the numbers around it
  • An appetite to develop knowledge of business intelligence methods and tools.
  • A passion for Sports betting and online betting industry.
  • Exposure to range data analysis tools and platforms, SQL, JIRA, MS suite, Google suite, Google DataStudio, Google Analytics, Cubes, Ad Platforms (eg GoogleAdWords, Bing, Facebook Ads).
  • Excellent Excel/Google Sheets skills.
  • Application of data to areas such as campaign analysis & predictive modelling.
  • Excellent problem solving skills, a logical approach, and the ability to identify and question anomalies.
  • Ability to work both alone and as a team.
  • Ability to deliver high quality work under pressure of tight deadlines.
  • Ability to clearly communicate ideas and results to non-technical business stakeholders, both in written and oral format.

Entry requirements

  • Strong numerical, analytical and problem solving skills.
  • Good A levels (or equivalent) in Mathematics, Sciences or Economics.
  • Highly organised with the ability to work independently at a fast pace whilst demonstrating excellent attention to detail.
  • Excellent written and verbal communication skills with the ability to communicate at all levels of the business.
  • Experience and confidence using Microsoft packages such as Microsoft Excel.
  • Theoretical knowledge of SQL and relational databases. Any working experience would be a plus.
  • Knowledge of at least one programming language e.g. SAS, Python, R.
  • Previous experience in a commercial/business environment.

Skills requirements

IT skills, Analytical skills, Number skills, Communication skills,

Training to be provided

You will undertake the ground breaking Apprentify Data Analyst Level 4 apprenticeship.

We have designed our programme to offer you a distinct route into your career path and specialise in areas such as Data Architecture, collecting and cleansing data, produce performance dashboards and reports .

During the 15 months of training, you will learn cutting edge theory and industry practice across 11 carefully structured Modules covering the duties that are required as a Data Analyst:

  • Identify data sources to meet the organisation's requirement, using evidence-based decision making to establish a rationale for inclusion and exclusion of various data sets and models
  • Liaise with the client and/or colleagues from other areas of the organisation to establish reporting needs and deliver accurate information
  • Collect, compile and, if needed, cleanse data, such as sales figures, Digital Twins etc. solving any problems that arise, to/from a range of internal and external systems.
  • Produce performance dashboards and reports in the Visualisation and Model Building Phase
  • Support the business by maintaining and developing reports for analysis to aid with decisions, and adhering to organisational policy/legislation
  • Produce a range of standard and nonstandard statistical and data analysis reports in the Model Building phase
  • Identify, analyse, and interpret trends or patterns in data sets
  • Draw conclusions/Recommend appropriate response/Offer Guidance/Interpretation
  • Summarise and present the results of data analysis to a range of stakeholders, making recommendations
  • Provide regular reports & analysis to different management/leadership teams, ensuring data is used and represented ethically in line with relevant legislation (e.g. GDPR, which incorporates Privacy by Design).
  • Ensure data is appropriately stored and archived, in line with relevant legislation e.g. GDPR
  • Practice continuous self-learning to keep up to date with technological developments to enhance relevant skills and take responsibility for own professional development

In addition to all of the above, all of our applicants will go through our Assessment Centre. This exclusive session is designed to identify your digital strengths and weaknesses to help us match you with the perfect employer and the perfect role to start your career in the best way!

Things to consider

- 32 days Annual leave - Flexible working environment - Uber eats lunch last Friday of every month red (including weekends). -Company Socials

Future Prospects

Permanent position on successful completion of the apprenticeship
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