Apprentice Data Analyst
OMETIS LIMITED
Birmingham, B1 1RS
Closes on Tuesday 31 December
Posted on 1 November 2024
Contents
Summary
Start your data career at the UK's largest Qlik consultancy! You will work towards a Level 4 Data Analyst qualification.
- Annual wage
- £23,500 a year
- Training course
- Data analyst (level 4)
- Hours
-
You'll also deliver 1st line support for our clients. Our service desk operates between 5.30am - 5.30pm, 7 days a week, 364 days a year. We share workloads and balance out of hours/unsociable working, further information about this will be provided.
Days and shifts TBC.
40 hours a week
- Possible start date
-
Saturday 1 February
- Duration
-
1 year 6 months
- Positions available
-
3
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
Want to start your data consultancy career?
At Ometis we provide end to end data services to help our customers unlock the power of their data. We see ourselves as friendly and we're looking for curious, motivated people to share our passion to enable our customers to make data driven decisions about their business.
We believe that diversity strengthens our team so all that we ask is that you have the motivation and the raw material to excel, we'll provide the technical training and support you through the apprenticeship as you take the first steps in your consultancy career.
We're proud to be the UK's largest dedicated Qlik consultancy
Since forming in 2010, Ometis has grown from humble beginnings to representing some of the country’s leading brands and organisations.
Today we are proud to be the UK’s leading Qlik experts who help businesses across the country gain a competitive advantage with Qlik Business Intelligence solutions. From Qlik development and Qlik training through to bespoke support programmes, we do it all.
What does the role involve?
The first skills that a consultant needs to develop is the ability to listen and understand a customers problem. Therefore, you'll start your journey on our support desk where you'll talk to our customers, create tickets and as your knowledge and skills grow resolve issues that have with their Qlik applications and dashboards.
From there you'll join project teams and work at every stage of the data and project lifecycle.
Tasks will include:
- Documentation
- Data Migration
- Data cleansing
- Generating reports
- Dashboards and visualisation
- Data analysis
- Forecasting
- At all times you'll be expected to communicate professionally and work collaboratively and transparently with your colleagues and our customers
Requirements
First and foremost, you must be interested in working collaboratively to support our clients and solve real world business problems. In addition, you'll have:
- Proven interest in data analysis (this could be from formal studies, self-study or the workplace)
- Excellent communication and collaboration skills
- Ability to work independently and in a team environment
- Detail-oriented and strong attention to accuracy and completeness
- Exceptional problem-solving skills
- Willingness to learn and continuously improve technical and professional skills
- Competency with Microsoft office applications including Excel
- Some experience of using data tools (e.g. SQL, Python, visualisation tools such as Qlik / Power BI / Tableau etc) would be an advantage but not essential
Where you’ll work
The Mailbox
Royal Mail St
Birmingham
B1 1RS
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
DIGITAL NATIVE (UK) 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
As part of the Level 4 Data Analyst apprenticeship standard, you’ll be registered as a member with the British Computer Society and be on a fast track to an industry recognised qualification and your dedicated industry coach will support you through a blended approach that will include remote, in person, 1-2-1 and group learning.
Requirements
Essential qualifications
GCSE or equivalent in:
- 7 GCSE's including Maths and English (grade A*-C/9-4 (or equivalent))
- Maths, Science, Computer Science or similar (grade A - C)
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
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
- Patience
About this company
As partners with Qlik, Talend, and Snowflake, Ometis proudly represents some of the most renowned brands and organisations worldwide. Additionally, we are the largest dedicated Qlik consultancy in the UK. We assist clients in extracting greater value from their data by seamlessly integrating it from source systems, meticulously cataloging and analysing the information, and offering advanced predictive insights. Throughout the entire data journey, Ometis is available to assist with implementation and development, as well as provide ongoing consultancy, training, and support.
After this apprenticeship
Progression: our services are in demand and we're expanding as an organisation. After completing the apprenticeship there will be options to continue to develop in one of the four following specialties; Data consultant, Technical support, Technical pre-sales, or Education.
Ask a question
The contact for this apprenticeship is:
DIGITAL NATIVE (UK) LIMITED
The reference code for this apprenticeship is VAC1000285155.
Apply now
Closes on Tuesday 31 December
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After signing in, you’ll apply for this apprenticeship on the company's website.