Apprentice (Data Analyst - Wastewater Network Modelling) – Find an apprenticeship

Summary

Ready to shape your future? Join us at United Utilities to build a greener, healthier, and stronger North West. With award-winning roles, find your perfect career and gain industry-leading skills and experience.

Wage

£19,000 a year

Minimum wage rates (opens in new tab)

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

2

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 (Wastewater Network Modelling), you’ll learn how to:

Produce plans and schedules using geographic information systems (GIS) to support the modelling team
Look after the network model library database to ensure the status and location of all models are recorded and managed
Identify, collect and move data to and from a range of internal and external systems
How to build network models using GIS and modelling tools
Manage the exchange of data and ensure quality assurance procedures are followed, whilst working with our survey framework contractors
Manipulate and link different data sets as required
Perform database queries across multiple tables to extract data for analysis

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 gender, age, race, disability, sexual orientation, or social background.

Requirements

Essential qualifications

GCSE in:

5 subjects incl. Maths, English & Science/Tech (grade A-C or grades 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.

About this company

United Utilities is responsible for water and wastewater services in the North West of England. Our purpose is to provide great water and more for the North West. We deliver 1.8 billion litres of water a day to more than 3 million homes and businesses in the North West, as well as treating all the wastewater which disappears around the U-bend. Keeping the region flowing relies on a vast behind the scenes operation, involving hundreds of reservoirs, treatment works and pumping stations; thousands of kilometres of water pipes and sewers and a 5,000 strong workforce.

After this apprenticeship

Your apprenticeship will last 24 months, and successful apprentices will achieve a Data Analyst, Level: 4 standard, endorsed by the Institute for Apprenticeships.
Every apprentice is guaranteed a permanent position at the end of their scheme as long as they meet all necessary standards and behaviour criteria throughout the programme.

Ask a question

The contact for this apprenticeship is:

NOWSKILLS LIMITED

UUEarlyCareers@uuplc.co.uk

03301754408

The reference code for this apprenticeship is VAC1000298134.

Apply now

Closes in 26 days (Wednesday 19 February)

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

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Apprentice (Data Analyst - Wastewater Network Modelling)

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