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Apprentice Data Analyst
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Data Analyst Role
The Data Analyst role is about ascertaining how data can be used to answer questions and solve problems. Data analysis is a process of requirement-gathering, inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
- 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 the 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 combining within the data analysis activity
- Apply organisational 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
Where you'll work
Fields Farm Road
Long Eaton
Nottingham
NG10 3FZ
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
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Training provider
DIGITAL NATIVE (UK) LIMITED
Training course
Data analyst (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
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 organisational 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
Training schedule
Data Analyst Level 4
This is delivered using a variety of in person and online sessions during work hours over the duration of the 18-month apprenticeship
Essential qualifications
- GCSE in:
- English Language (grade 4)
- Maths (grade 4)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
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Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Customer care skills
- Problem solving skills
- Presentation skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
- Creative
- Initiative
- Non judgemental
- Patience
Other requirements
All successful applicants will be DBS checked (Criminal Record Checking).
About Us
Established in 1954, Vp plc has evolved into a dynamic group of companies with expertise in equipment rental. Our organisation encompasses eleven prominent operating divisions: Airpac Rentals, Brandon Hire Station, Hire Station, MEP Hire, ESS, Groundforce, TPA, Torrent Trackside, Vp Rail, UK Forks, and CPH.
Across these divisions, we proudly provide an extensive range of specialist products and comprehensive services tailored to various industries. Our offerings cater to diverse sectors such as construction, civil engineering, rail, water, oil and gas, outdoor events, and housebuilding.
With a rich history and a commitment to excellence, Vp plc is your trusted partner for all your equipment rental needs.
Vp plc is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills.
https://www.vpplc.com/ (opens in new tab)
Company benefits
- Salary sacrifice pension
- 25 days holiday, plus bank holidays
- Free tool hire
- Life Assurance cover 3x salary
- Share save scheme
- Recommend a friend scheme
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
After successful completion, all qualified apprentices are offered a permanent position relevant to their qualification if still employed with Vp.
Contact
The contact for this apprenticeship is:
DIGITAL NATIVE (UK) LIMITED
recruitment@vpplc.com
01423 852308
The reference code for this apprenticeship is VAC2000045811.
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