Data Analyst (Tech) Apprentice
Abingdon, United Kingdom
Applications have closed
Informa Group Plc.
Company Description
DATA ANAYLST (TECH) APPRENTICE
Taylor & Francis Data Analyst Apprenticeship Programme
Informa is a leading academic publishing, business intelligence, knowledge, and events business, creating unique content and connectivity for customers all over the world. It is listed on the London Stock Exchange and is a member of the FTSE 100.
Taylor & Francis is one of the world’s largest publishers of high-quality, peer reviewed scholarly journals, books, e-books and reference works. We empower learners, thinkers and doers with trusted knowledge that advances research and enriches lives. We bring together diverse people, ideas and opinions to validate and publish the experts, theories and truths that matter. And we’ve been doing this in an unbroken arc since 1798.
Our purpose is to foster human progress through knowledge. We strongly believe that this requires us to encourage and examine different ideas and voices, so that any work that meets our exacting levels of quality deserves to be included in our publications. This requires open minds, the opportunity for robust debate, and the courage to defend perspectives that stand up to scrutiny, even if they conflict with our personal beliefs or values. Because that’s the only way to find the best obtainable version of the truth and, ultimately, foster human progress. If you agree, then we’d love to hear from you.
Job Description
What qualifications will I gain?
The apprenticeship will incorporate study with our chosen training provider institution to gain a Level 4 Data Analyst Apprenticeship qualification.
Details on this Apprenticeship standard can be found here.
Location: This is a predominantly remote based role with some travel required to our Oxfordshire (Milton Park) office, subject to business requirements.
Duration: 18 months
Salary: £21,749
Additional benefits:
25 days annual leave per year, plus bank holidays
3 additional discretionary days of leave at Christmas
4 volunteering days annually
Day off for your birthday
Pension contributions
Seasonal social and charitable events
Training and development
Apprenticeship overview:
On this 18-month Data Analyst Apprenticeship programme, you’ll be immersed in Taylor & Francis from day one. Fast paced and rewarding, this Apprenticeship will allow you to make your mark on a global organisation, while building connections with talented people across our business.
From the beginning, you’ll have a buddy who will provide useful tips and guidance on your work and career whenever you need it. You will also be given a full induction on how Taylor & Francis functions as a business, become an integral part of our wider global Apprentice and Trainee community at Taylor & Francis and of course, discover how your role plays a crucial part in our organisational digitalization journey.
Here at Taylor & Francis, it’s not all work and no play. We will link you up with other Apprentices and Trainees who you can meet and connect with, enrol you onto an all-inclusive professional development pathway and give you the opportunity to participate in company events, such as our annual fun-filled charity Walk the World event and our awards ceremony, to really give you that all-round feeling of our company culture.
The Apprenticeship will start in September 2023.
What will I be doing?
Working in our global Data and Analytics Platforms team at the heart of the Technology department, you will support the team with a variety of tasks which aim to build the centralized data platform on AWS cloud for analytics, reporting, business intelligence and data science projects. You will gain a good understanding of how to clean, analyse and model datasets for analytics purposes to help build the enterprise capability for any data-based decisions which impact the long-term future of the organisation.
The role holder will be supported to carry out the following responsibilities:
Gain an understanding of the types of data Taylor & Francis uses (products, content, and users), its lifecycle and the ecosystem of systems that generate these data sets
Identify business processes and uncover how data moves between systems
Build insights about various databases, data models, SQLs and data warehousing
Build rules for data cleaning, reconciliation, and disambiguation by working with expert analysts
Learn and leverage the software programming fundamentals (Python/R) on big data
Analysis of various datasets using Microsoft Excel; applying basic rules of aggregation, merges, pivoting and other visuals
Conduct exploratory data analysis through the data mining concepts and infer what these data present
Apply data visualization concepts and build business intelligence reports.
Where can this career take me?
The use of data is, and continues to be, at the heart of every decision we make. You will be part of a strong and growing network of individuals across Taylor & Francis and the Informa group that are passionate and actively working to progress our use of data driven decisions making in every part of our organisation.
Your Line Manager and the Early Careers team will provide regular feedback on your work and help you navigate the company and career opportunities available here.
What training and support will you get?
Whilst on the programme, we’ll support your technical development through a wide range of on-the-job practical experiences. We’ll also support your professional development through a combination of training courses, mentoring opportunities and structured networking opportunities. You will receive one-to-one support throughout the programme from the Early Careers team, your onboarding buddy and your Line Manager. The study element of the apprenticeship qualification will be delivered virtually through a series of live sessions in addition to one-to-one coaching sessions, facilitated by your training provider.
Qualifications
What do we look for?
Our purpose as an organisation is to foster human progress through knowledge – something we’ve been doing since the Enlightenment. We aim to promote a positive future for everyone through our work. Our talented apprentices will gain the skills, behaviours and experiences to help deliver that vision, so it’s important that we find the best people to help us do this. We’re looking for people who:
- Have a curious, inquisitive mind
Take responsible actions
Thrive in a team and through collaboration
For this role, we are also looking for someone who:
- Has a demonstrable interest in the use of data and how it can inform decision making
Possesses excellent, proactive and persuasive communication skills with an ability to understand your audience and tailor your style accordingly
Has experience of using Microsoft Office applications including Excel in particular
Has a strong openness for learning, and is able to ask for help when required
Is a self-starter, and is able to use own initiative and self-organise
Is adaptable, able to respond quickly to change, and able to handle multiple tasks and priorities
Has a good understanding of Mathematics and Computer Science
As a valued member of the team, we’ll give you responsibility and the opportunity to add value from day one.
Entry requirements:
A minimum of 2 GCSEs or equivalent at Grade 4 (C) or above including English and Maths
An Apprenticeship is a learning opportunity. Apprentices will be required to complete the mandatory six hours of weekly off-the-job training and all tasks associated with obtaining the Apprenticeship qualification. Our Apprentice opportunities are open for candidates who do not currently hold and who are not currently studying for a degree level qualification.
You must have the right to live and work in England
Have lived in the UK continuously for the past 3 years
You are not eligible for this Apprenticeship programme if you currently hold or are working towards a qualification at the same or higher level in a related subject or have already studied content from the qualification for this scheme.
Additional Information
Next steps:
Application
When completing your application, please submit a short covering letter which details your motivations for applying to this role. The closing date is 28th April 2023.Shortlisting
We will review your application and let you know the outcome. Please allow time for this stage to be completed as we receive a high volume of applications.Video Interview
If your application is progressed, we may ask you to complete a short pre-screening video interview. This is more informal than an interview and allows us to get to know you better. The video interview can be completed on your mobile phone, tablet or laptop at a time that suits you and should only take 10-15 minutes. We will notify you of the outcome following your video interview. At this stage, your application may be held in the talent pool whilst we wait for a vacancy to become available. A member of the recruitment team will be in touch once a role becomes available.Interviews
You will be invited to join an interview with our hiring managers. Interviews are held via Microsoft Teams and usually last for 1 hour. You will be asked a series of questions, including your prior experience, skills you hold suitable to the role and your motivation for applying. There may be a short second stage interview which will feature a task to prepare in advance, similar to the type of work you would experience in the role if successful. Full details will be sent to you via email, allowing plenty of time to prepare for your interview.
Offer
If successful at the interview stage, you will be offered the role. Our recruitment team will work with you to arrange a suitable start date.
We want our candidates to feel confident and comfortable that they can shine throughout this process, and so if for any reason you may require additional support and/or reasonable adjustments then please do reach out to our Diversity Recruitment Partner, Camille Witter at: recruitment@tandf.co.uk
Inclusive recruitment process:
If you’re excited about working with Taylor & Francis to foster human progress through knowledge, we invite you to apply even if your existing skills and experience don’t fit every item listed above. At Taylor & Francis, we are at our best and most successful when colleagues can be themselves and contribute regardless of their identity or background. As a colleague, you will have the opportunity to further innovate and develop in areas that you are passionate about. Our goal is to empower you with the resources, incentives, and flexibility you need to enjoy success at work and live a healthy, balanced life.
Taylor & Francis is proud to be an Equal Opportunity Employer. We believe in and value diversity of people and thought, fostering a supportive and inclusive environment where all colleagues can learn and succeed as their true selves. Taylor & Francis recruits develop and retains colleagues without regard to any protected personal characteristics or other non-merit-based factor.
We genuinely care about our colleagues, promoting work-life balance, well-being, and flexible working. We believe the skills and experience you bring to Taylor & Francis are invaluable. We want you to have the opportunity to develop your abilities, and to innovate and develop in areas in which you are passionate. To find out more about our business, please visit our website: https://www.taylorandfrancisgroup.com
Or better yet check out our LinkedIn page, highlighting our accomplishments, employees, and company culture. It’s also a good way to meet our recruitment team, who will be happy to advise you on your journey here at T&F. View our LinkedIn page here: https://uk.linkedin.com/company/taylor-&-francis-group
Should you have any queries please contact the recruitment team on recruitment@tandf.co.uk
To find out more and to apply please visit our careers site: https://careers.smartrecruiters.com/InformaGroupPlc/taylor-and-francis
Tags: AWS Big Data Business Intelligence Computer Science Data analysis Data Mining Data visualization Data Warehousing EDA Excel Mathematics Python R Research
Perks/benefits: Career development Flex hours Flex vacation Startup environment Team events
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