Summary
This is a great opportunity for anybody with a passion for data and analytics, looking to start a career in the Water Industry. You will be learning about new and innovative technologies that will improve the way we work at Thames for years to come. The role involves all aspects of data analytics.
Wage
£21,500 a year
24 days holiday, pension and other benefits
Training course
Data analyst (level 4)
Hours
Monday to Friday, exact hours to be confirmed.
36 hours a week
Possible start date
Monday 1 September
Duration
1 year 4 months
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
In this role they will acquire the following expertise and be trained on:
* Checking Azure Pipeline Runs: Monitoring and ensuring that data pipelines are running smoothly. This includes checking for any failures or delays and troubleshooting issues as they arise.
* Resolving Issues: Addressing any problems that occur within the data infrastructure. This could involve debugging code, fixing data inconsistencies, or optimizing performance.
* Engaging with the Wider Business: Collaborating with different departments to understand their data needs and acquiring new data sources. This might involve meetings, gathering requirements, and integrating new data into existing systems.
* Data Cleaning and Preparation: Ensuring that data is clean, accurate, and ready for analysis. This can include tasks like removing duplicates, handling missing values, and transforming data into a usable format.
* Documentation: Keeping detailed records of processes, changes, and issues. Good documentation helps maintain clarity and continuity within the team.
* Supporting Senior Engineers: Assisting more experienced engineers with larger projects and learning from their expertise.
Where you’ll work
Walnut Court
Kembrey Park
Swindon
SN2 8BN
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
FIREBRAND TRAINING 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
You will receive the certificate of completion of Data Analyst Level 4 Apprenticeship Standard.
You’ll complete your apprenticeship through Firebrand Training Limited via a mix and blend of online/virtual learning and periodic residential block release at their dedicated training centre in Wyboston Lakes, Bedford where accommodation will be provided.
Requirements
Essential qualifications
GCSE or equivalent in:
* 5 of any subject including Maths & English (grade 4/C)
Desirable qualifications
A Level or equivalent in:
* Similar subject (grade Any)
BTEC or equivalent in:
* Similar subject (grade Any)
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
* Analytical skills
* Logical
* Team working