Junior Data Analyst Apprenticeship

Summary

FourteenIP are looking for a Junior Data Analyst Apprentice to join their team at the Wigan office! Offering a competitive £15,000 salary, company pension plan, onsite parking, and plenty of other perks, this is an opportunity you don’t want to miss!

Wage: £15,000 a year
Minimum wage rates (opens in new tab)
Training course: Data technician (level 3)
Hours: Monday to Friday 9am - 5:30pm
38 hours 30 minutes a week
Possible start date: Tuesday 18 February
Duration: 1 year 6 months
Positions available: 1

Work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.

What you’ll do at work

Generate weekly anomaly report (Excel, powerquery, SQL) in line with business requirements
Collate data sources to allow repeatable and robust reporting across the group
Regular Customer Profitability reporting, to include comparison with competitors and against internal KPI's
Conduct regular and appropriate reviews with key suppliers in terms of costs, appropriateness, changes and anomalies
Ensuring weekly anomaly reports are accurately generated and distributed in a timely manner
Ensure that all internal and external drivers affecting the business are identified and analysed to enable accurate forecasting of the P&L

Where you’ll work

UNIT 4

LOCK FLIGHT BUILDINGS

WHEATLEA INDUSTRIAL ESTATE

WHEATLEA ROAD

WN3 6XP

Training

An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.

College or training organisation

BALTIC TRAINING SERVICES LIMITED

Your training course

Data technician (level 3)

Equal to A level

Course contents

Source and migrate data from already identified different sources.
Collect, format and save datasets.
Summarise and explain gathered data.
Blend data sets from multiple sources and present in format appropriate to the task.
Manipulate and link different data sets as required.
Use tools and techniques to identify trends and patterns in data.
Apply basic statistical methods and algorithms to identify trends and patterns in data.
Apply cross checking techniques for identifying faults and data results for data project requirements.
Audit data results.
Demonstrate the different ways of communicating meaning from data in line with audience requirements.
Produce clear and consistent technical documentation using standard organisational templates.
Store, manage and distribute in compliance with data security standards and legislation.
Explain data and results to different audiences in a way that aids understanding.
Review own development needs.
Keep up to date with developments in technologies, trends and innovation using a range of sources.
Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
Operate as part of a multi-functional team.
Prioritise within the context of a project.
Source and migrate data from already identified different sources.
Collect, format and save datasets.
Summarise and explain gathered data.
Blend data sets from multiple sources and present in format appropriate to the task.
Manipulate and link different data sets as required.
Use tools and techniques to identify trends and patterns in data.
Apply basic statistical methods and algorithms to identify trends and patterns in data.
Apply cross checking techniques for identifying faults and data results for data project requirements.
Audit data results.
Demonstrate the different ways of communicating meaning from data in line with audience requirements.
Produce clear and consistent technical documentation using standard organisational templates.
Store, manage and distribute in compliance with data security standards and legislation.
Explain data and results to different audiences in a way that aids understanding.
Review own development needs.
Keep up to date with developments in technologies, trends and innovation using a range of sources.
Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
Operate as part of a multi-functional team.
Prioritise within the context of a project.

Your training plan

Data Technician Level 3
The apprentice will train on the online portal with qualified Baltic trainers

Requirements

Essential qualifications

GCSE in:

English (grade 4)
Maths (grade 4)

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

Communication skills
IT skills
Attention to detail
Organisation skills
Problem solving skills
Administrative skills
Number skills
Analytical skills
Logical
Team working
Initiative
Patience

About this company

FourteenIP are looking for a Junior Data Analyst Apprentice to join their team at the Wigan office! Offering a competitive £15,000 salary, company pension plan, onsite parking, and plenty of other perks, this is an opportunity you don’t want to miss! As an apprentice, you'll be responsible for generating weekly reports, gathering data, conducting regular Customer Profitability analysis, and more. You'll dive deep into the Data industry, with all the resources and support you need to build a successful and rewarding career. Alongside hands-on guidance from the Head Analyst, you’ll also have access to expert industry knowledge from your coach at Baltic Apprenticeships!

After this apprenticeship

Potential for a full-time job role upon completion.

Ask a question

The contact for this apprenticeship is:

BALTIC TRAINING SERVICES LIMITED

Lucy Oliphant

lucy.oliphant@balticapprenticeships.com

The reference code for this apprenticeship is VAC1000299046.

Apply now

Closes in 17 days (Monday 17 February)

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After signing in, you’ll apply for this apprenticeship on the company's website.

Company’s application instructions

Please follow the link to apply

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