At a Glance
- Tasks: Support data collection, analysis, and reporting to drive informed business decisions.
- Company: Join a dynamic healthcare organisation focused on data-driven insights.
- Benefits: Gain valuable experience, training, and career progression opportunities.
- Why this job: Kickstart your career in data analysis with hands-on experience and mentorship.
- Qualifications: A Levels preferred; GCSEs in Maths and English required.
- Other info: 18-month apprenticeship with a blend of technical training and real-world projects.
The predicted salary is between 800 - 1400 £ per month.
The Junior Data Analyst supports the organisation by helping to collect, prepare, analyse, and report on data that enables the business to operate effectively and make informed decisions. The role contributes to improving visibility of operational performance, commercial activity, and service delivery through accurate, timely, and well-structured data. The position provides broad exposure to data from multiple systems and departments and is suitable for an early career analyst. A key aspect of the role is supporting the wider business by responding to data requests, producing meaningful insights, and helping teams better understand and use their data. While the organisation operates within a regulated healthcare environment, the role balances core business-facing data analysis activities with progressive exposure to NHS and regulatory requirements as skills and experience develop.
Main Duties and Responsibilities
- Data Analysis & Business Reporting
- Support the production of regular operational, performance, and management reports using agreed templates and processes.
- Respond to data and reporting requests from teams across the business.
- Assist with KPI reporting, trend analysis, and ad hoc analysis for managers and senior stakeholders.
- Prepare, validate, and reconcile datasets to ensure accuracy, completeness, and consistency.
- Combine data from multiple systems to provide insight into activity, performance, and outcomes.
- Data Quality & Governance
- Carry out routine data quality checks to identify gaps, errors, or inconsistencies. Escalate data issues appropriately and support their resolution.
- Assist with maintaining data definitions, standards, and reporting documentation.
- Support the standardisation and improvement of reporting processes.
- NHS & Regulatory Reporting
- Contribute to NHS and regulatory reporting requirements from the outset, working under the guidance of senior colleagues.
- Support the preparation and validation of datasets used for external submissions, ensuring accuracy, completeness, and timeliness.
- Develop and build knowledge of relevant NHS data standards, reporting frameworks, and submission processes as part of day-to-day responsibilities.
- Assist with data cleansing, reconciliation, and validation activities ahead of submissions.
- Work closely with clinical, governance, and operational teams to ensure data is reliable and fit for reporting purposes.
- Data Platform Development & Automation
- Support the transition from manual reporting to more automated and scalable reporting solutions.
- Assist with extracting and preparing data from business systems such as CRM platforms, analytics tools, and operational or clinical systems.
- Contribute to dashboard development, user testing, validation, and documentation.
- Help identify opportunities to improve efficiency through better use of data and reporting tools.
- Training
- Data Analyst Level 4: Ideal for new talent in the organisation with an active interest in data or existing staff taking on a more data centric role or Junior/aspiring Data Analysts working in any industry or sector. Our Data Analyst apprenticeship programme integrates six modules of technical training with work based projects. This ensures that learning and skills are directly applied to the apprentice’s role, and maximises the time used as part of off-the-job training.
- Microsoft Office Specialist: Excel Associate.
- Data and Visualisation using SAS®
- Data Analysis and Statistics
- SQL and Data Modelling
- Exploring Data Science using Python and R
- Data Challenge workshop
- Online development sessions (Optional)
An apprenticeship has to be relevant to the job you are undertaking and you must dedicate 20% of your time towards it.
Qualifications Required
- A Levels. (Desirable)
- GCSE's grades 9/A* - 4/C including Maths and English.
Skills Required
- Strong interest in data analysis and problem solving.
- Good numerical and analytical skills with attention to detail.
- Basic to intermediate Excel skills (e.g. formulas, data manipulation, pivot tables).
- Ability to organise work, manage time effectively, and meet deadlines.
Prospects
Become senior data analyst.
Qualification / Standard
ST0118 Data analyst Duration 18 months
Data Analyst Apprentice (Apprenticeship) in Leeds employer: GetMyFirstJob Ltd
Contact Detail:
GetMyFirstJob Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Apprentice (Apprenticeship) in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Practice your interview skills! Mock interviews with friends or mentors can help you feel more confident. Focus on articulating how your skills align with the role of a Data Analyst Apprentice.
✨Tip Number 3
Showcase your passion for data! Bring examples of projects or analyses you've done, even if they're personal or academic. This will demonstrate your enthusiasm and ability to apply what you've learned.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Data Analyst Apprentice (Apprenticeship) in Leeds
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let us know why you're excited about data analysis! Share any relevant experiences or projects that sparked your interest in this field. We love seeing candidates who are genuinely enthusiastic about making sense of data.
Tailor Your Application: Make sure to customise your application to fit the role of a Data Analyst Apprentice. Highlight your skills in Excel and any experience with data analysis tools. We want to see how your background aligns with what we're looking for, so don’t hold back!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate well-structured applications that make it easy for us to see your qualifications and potential.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do, so go ahead and hit that apply button!
How to prepare for a job interview at GetMyFirstJob Ltd
✨Know Your Data Basics
Before the interview, brush up on your data analysis fundamentals. Understand key concepts like KPIs, data validation, and reporting processes. Being able to discuss these topics confidently will show that you're ready to dive into the role.
✨Familiarise Yourself with Tools
Get comfortable with Excel and any other tools mentioned in the job description, like SQL or data visualisation software. Practising basic functions and data manipulation techniques can help you answer technical questions more effectively.
✨Prepare for Scenario Questions
Think about how you would handle common data-related scenarios, such as resolving data inconsistencies or responding to a data request from a team. Prepare examples from your past experiences or hypothetical situations to demonstrate your problem-solving skills.
✨Show Enthusiasm for Learning
As an apprentice, your eagerness to learn is crucial. Be ready to discuss how you plan to develop your skills in data analysis and your interest in the healthcare sector. This will highlight your commitment to growing within the role and contributing to the organisation.