Apprentice Data and Innovation Assistant

Summary

It's an exciting time to be part of our Technology & Communications Service area within the Data and Innovation Technology Team. We have a range of new opportunities for motivated and committed individuals to join us to complete our team.

Annual wage: £12,313.60 a year
Minimum wage rates (opens in new tab)
Training course: Data analyst (level 4)
Hours: Monday to Friday, shifts to be confirmed.
37 hours a week
Possible start date: Wednesday 1 January
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

To assist in developing and promoting the provision and use of quality and accurate data including Geographic Information across the council.
To support the sharing of data across the Council and the wider public sector context to enable decisions to be taken based on robust intelligence.
To help maintain the Council’s repository of data and intelligence to ensure the accurate and timely provision of quality data.
To help in providing documentation and maintaining data definitions, data lineage, and data governance policies and procedures.
Perform data analysis on Council datasets to enable data driven decision making.

Where you’ll work

30-40 High Street

Scunthorpe

DN15 6NL

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 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

Training will be online
Training will be weekly

Requirements

Desirable 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
Logical
Team working

About this company

North Lincolnshire Council have an aspiration to make North Lincolnshire the best place to live, work, visit and invest. We have built a strong working relationships in the pursuit of the realisation of this ambition and have delivered many successful employment and skills programmes over recent years, working hard to secure positive outcomes for our residents.

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

You will gain employment as a Data and Innovation Assistant

Ask a question

The contact for this apprenticeship is:

North Lincolnshire Council

Matthew Fisher

matthew.fisher@northlincs.gov.uk

The reference code for this apprenticeship is VAC1000287438.

Apply now

Closes in 10 days (Wednesday 27 November)

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

Company’s application instructions

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