Summary
Do you want to be part of building a greener, healthier, and stronger North West? Come and join us! With a range of award-winning roles on offer, you’re sure to find your perfect career here at United Utilities. We’ll provide you with industry-leading skills and the experience you need to succeed in your chosen field.
Wage
£19,000 a year
Yearly increase.
Training course
Data analyst (level 4)
Hours
Monday - Friday. Shifts to be confirmed.
37 hours a week
Possible start date
Wednesday 3 September
Duration
2 years
Positions available
5
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
As an Apprentice Data Analyst, you’ll learn how to:
* Work as part of a dedicated team
* Identify, collect and migrate data to/from a range of internal and external systems
* Manipulate and link different data sets as required
* Interpret and apply data and information security standards, policies and procedures to data management activities
* Collect and compile data from different sources
Where you’ll work
Lingley Mere (UU), Lingley Green Avenue, Great Sankey, Warrington
WA5 3LP
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
NOWSKILLS LIMITED
Your training course
Data analyst (level 4)
Equal to higher national certificate (HNC)
Course contents
* Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
* implement the stages of the data analysis lifecycle
* apply principles of data classification within data analysis activity
* analyse data sets taking account of different data structures and database designs
* assess the impact on user experience and domain context on data analysis activity
* identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
* undertake customer requirements analysis and implement findings in data analytics planning and outputs
* identify data sources and the risks and challenges to combination within data analysis activity
* apply organizational architecture requirements to data analysis activities
* apply statistical methodologies to data analysis tasks
* apply predictive analytics in the collation and use of data
* collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
* use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
* collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
* select and apply the most appropriate data tools to achieve the optimum outcome
* Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
* implement the stages of the data analysis lifecycle
* apply principles of data classification within data analysis activity
* analyse data sets taking account of different data structures and database designs
* assess the impact on user experience and domain context on data analysis activity
* identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
* undertake customer requirements analysis and implement findings in data analytics planning and outputs
* identify data sources and the risks and challenges to combination within data analysis activity
* apply organizational architecture requirements to data analysis activities
* apply statistical methodologies to data analysis tasks
* apply predictive analytics in the collation and use of data
* collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
* use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
* collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
* select and apply the most appropriate data tools to achieve the optimum outcome
Your training plan
* Your apprenticeship will last 24 months, and successful apprentices will achieve a Data Analyst, Level: 4 standard, endorsed by the Institute for Apprenticeships.
More training information
During your apprenticeship, you may need to travel to your place of study. If you’re from outside the area, accommodation will be provided by United Utilities during this period (excluding weekends). Please consider travel requirements and staying away from home if applicable.
*As long as you meet all necessary standards and behaviour criteria throughout the programme.
We need fantastic people to help us deliver a great service to the public. We are committed to reaching and recruiting from every community, supporting our employees to achieve their full potential, and ensuring everyone feels valued and included, regardless of background and circumstances.
Requirements
Essential qualifications
GCSE in:
* 5 subjects incl. Maths, English & Science/Tech (grade A-C or 9-4)
Other in:
* - (grade equivalent A-C or 9-4)
* A-level, Apprenticeship/BTEC (grade Totalling 48 UCAS points)
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
* Presentation skills
* Administrative skills
* Number skills
* Analytical skills
* Logical
* Team working
* Initiative
Other requirements
If offered a job, pre-employment checks are required before confirmation. Employment is subject to a satisfactory report from Disclosure Scotland/Disclosure and Barring Service. Apply for only one apprenticeship and explain your choice during the assessment. Visa sponsorship is not available for this role.