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- Tasks: Coach and assess apprentices in data skills for real-world applications.
- Company: Join Equiniti, a leading fintech shaping the future of data.
- Benefits: Competitive salary, pension matching, health support, and flexible benefits.
- Other info: Exciting growth opportunity with a focus on modern data practices.
- Why this job: Make a lasting impact on the future of data skills and innovation.
- Qualifications: Experience in data analysis and coaching; relevant qualifications preferred.
The predicted salary is between 800 - 1400 £ per month.
Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology. With over 6000 employees, it supports 37 million people in 120 countries. EQ is a fintech that connects the future of capital, communications, and governance, building trust and confidence in every market we serve. We are TRUSTED to deliver on our commitments, COMMERCIAL in building long term value, COLLABORATIVE in our approach and we IMPROVE by continually enhancing our skills and services. There has never been a better time to join EQ.
Role Summary
As we progress on our journey to becoming an apprenticeship training provider, we are seeking a skilled Data Coach to support the delivery and development of our Level 3 Data Technician and Level 4 Data Analyst apprenticeship programmes. This role offers the opportunity to help shape how data skills are developed within the organisation, combining technical coaching with programme build and innovation. You will play a key role in ensuring our data apprenticeships remain current, relevant and aligned to modern data practices.
What you'll be responsible for
- Deliver coaching and assessment for Level 3 Data Technician and Level 4 Data Analyst apprenticeship programmes
- Support apprentices to apply data skills effectively in real business contexts
- Contribute to the design, build and ongoing enhancement of data apprenticeship curriculum and resources
- Stay ahead of emerging data trends, tools and methodologies, ensuring content reflects current and future industry needs
- Track learner progress and provide clear, actionable feedback
- Conduct regular progress reviews with apprentices and employers
- Ensure learner records and evidence meet ESFA and quality standards
- Prepare apprentices for gateway and End Point Assessment (EPA)
- Actively contribute to the growth and maturity of our apprenticeship provision
What we're looking for
- Strong background in data analysis or data-focused roles
- Experience with relevant tools such as Excel, SQL, Power BI, Python or similar
- Ability to translate technical concepts into clear, engaging learning
- Experience coaching, mentoring or supporting learners (formal or informal)
- A proactive mindset with enthusiasm for innovation and continuous improvement
Qualifications (or willingness to work towards)
- Data-related qualification at Level 4 or above, or equivalent industry experience
- Assessor qualification (CAVA/TAQA) or willingness to work towards
- Coaching qualification (desirable)
- Maths & English at Level 2 or equivalent
Why this role?
- Join an exciting, growing apprenticeship initiative from the outset
- Shape modern, future-focused data programmes
- Combine technical expertise with coaching and programme development
- Opportunity to make a lasting impact on skills and capability
What We Offer (UK ONLY)
- Save For Your Future – Equiniti Pension Plan; Equiniti matches your pension contributions up to 10%
- All Employee Long Term Incentive Plan (LTIP) – Gives all EQ Colleagues the opportunity to benefit if the current owners successfully sell the company for a profit.
- Health and Wellbeing – Employee Assistance Programme: counselling, legal & wellbeing support for colleagues and their households.
- Life assurance cover at 4x salary with the ability to purchase enhanced cover.
- Employee discounts – Discounts and cashback at your favourite high street stores through our EQ Wins Platform.
- Flexible Benefits – The ability to purchase a wide variety of benefits through our flex plan; gadgets, travel insurance, will writing, holiday trading and more.
- Time Off – Typically 28 days holiday + bank holidays. 2 volunteer days to get involved with a charity of your choosing.
- Winning together – Equiniti ICON award vouchers; recognising the individuals going above and beyond to help the business succeed.
We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please note any offer of employment is subject to satisfactory pre-employment screening checks. These consist of 5 year activity & GAP verification, DBS or Access NI, Credit, Sanctions & CIFAS checks.
Apprenticeship Tutor Assessor - Data employer: Equiniti
Contact Detail:
Equiniti Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Apprenticeship Tutor Assessor - Data
✨Tip Number 1
Get to know the company inside out! Research Equiniti's values and recent projects. This way, when you chat with them, you can show how your skills align with their mission and how you can contribute to their apprenticeship programmes.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for those interviews by practising common questions related to data coaching and assessment. Think about how you can demonstrate your experience with tools like SQL and Power BI in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Equiniti team and contributing to their exciting apprenticeship initiative.
We think you need these skills to ace Apprenticeship Tutor Assessor - Data
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Apprenticeship Tutor Assessor role. Highlight your experience in data analysis and coaching, and show how your skills align with what we’re looking for at Equiniti.
Showcase Your Passion: Let your enthusiasm for data and teaching shine through in your application. We want to see your proactive mindset and commitment to continuous improvement, so share any relevant projects or experiences that demonstrate this.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your qualifications and experiences, making it easy for us to see why you’d be a great fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure it gets to the right people and helps us keep track of all applicants. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Equiniti
✨Know Your Data Tools
Make sure you brush up on your knowledge of data analysis tools like Excel, SQL, Power BI, and Python. Be ready to discuss how you've used these tools in real-world scenarios, as this will show your practical experience and understanding of the role.
✨Showcase Your Coaching Skills
Since the role involves coaching apprentices, think of examples where you've mentored or supported learners. Prepare to share specific instances that highlight your ability to translate complex concepts into engaging learning experiences.
✨Stay Current with Data Trends
Research the latest trends and methodologies in data analysis. Being able to discuss emerging tools and practices will demonstrate your proactive mindset and enthusiasm for continuous improvement, which is key for this role.
✨Prepare for Practical Assessments
Understand the expectations around the End Point Assessment (EPA) and be ready to discuss how you would prepare apprentices for it. This shows that you’re not only focused on teaching but also on ensuring their success in assessments.