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- Tasks: Join our Data & Analytics team to transform complex data into actionable insights.
- Company: Dynamic company focused on data-driven decision making and innovation.
- Benefits: Up to £50,000 salary, private medical insurance, and 175 hours holiday per year.
- Why this job: Make a real impact by shaping metrics and improving data quality across the business.
- Qualifications: 3+ years as a Business Analyst with strong documentation and analytical skills.
- Other info: Remote work with occasional travel; excellent career growth opportunities await!
The predicted salary is between 40000 - 60000 £ per year.
Join our growing Data & Analytics team and help shape the future of data-driven decision making across the business.
Hours: 35 hours per week
Shift pattern: Monday to Friday 09:00-17:00
Salary: up to £50,000 per annum dependant on experience
Location: Remote but with occasional travel to our offices in New Milton and Norwich
This role is a UK based role and any hybrid/remote work must also be within the UK.
Start Date: January/February 2026
For this role, you need 5mbps upload and 15mbps download internet speed.
Appello Perks:
- 175 hours holiday pa.
- Private Medical Insurance - Individual Cover
- Discounts on everything from groceries and shopping through to holidays, insurance, days out, restaurants and more
- 24/7 employee assistance programme with an easily accessible app!
- Family and friends’ discounts on our services & products
- Pension Scheme, up to 4% Company matched
- Free on-site parking
WHAT WE ARE LOOKING FOR:
We’re searching for a detail-driven Business Analyst with a passion for turning complexity into clarity. Here’s what will make you successful in this role:
Essential Experience:
- 3+ years as a Business Analyst within data, analytics, digital, or technical teams.
- Proven ability to capture requirements and translate them into clear, structured documentation.
- Skilled in mapping business processes and documenting data flows or source system logic.
- Exposure to reporting, KPIs, and operational metrics.
- Experience working across multiple business functions and managing diverse stakeholder needs.
Desirable Experience:
- Familiarity with BI tools (Tableau, Power BI) for validation and basic data exploration.
- Knowledge of CMDBs, asset inventories, or operational data structures.
- Experience in data governance, glossary management, or data-quality frameworks.
Qualifications:
- Bachelor’s degree in Business Analysis, Information Systems, Data/Computer Science, or related field.
- Training or experience in Agile methodologies.
- Bonus: BCS BA Diploma, IIBA CCBA/CBAP, Microsoft DP-900 or PL-300 certifications.
Skills & Knowledge:
- Strong in requirements gathering, user stories, acceptance criteria, and documentation.
- Ability to connect end-to-end business processes with data flows.
- Analytical mindset with conceptual understanding of data.
- Comfortable working with structured data, definitions, and KPI logic.
- Excellent communication and facilitation skills.
- Bonus: Basic SQL, understanding of modern data platforms (Data Lake, Synapse, ETL), and experience with Azure DevOps or Jira.
Personal Attributes:
- Highly organised, detail-oriented, and proactive.
- Confident engaging with both technical and operational stakeholders.
- Independent, curious, and eager to understand how processes and data interact.
- Comfortable in fast-paced environments and open to challenging the status quo constructively.
THE ROLE:
In this role, you’ll work across all areas of the business to uncover processes, map data flows, and define reporting needs. Your mission? Turn complex operations into clear, actionable requirements that power high-quality data products from CMDB structures and curated datasets to business-ready KPIs and operational reports.
You’ll play a key role in standardising terminology, improving data quality, and shaping metrics that matter. Collaborating with stakeholders, facilitating workshops, and supporting adoption, you’ll ensure every data product delivers real value and insight. If you love connecting the dots and making data work smarter, this is the role for you!
What You’ll Be Doing:
- Requirements Gathering & Documentation: Work with stakeholders across all departments to understand data, processes, and reporting needs. Capture requirements for new data products, CMDB structures, KPIs, and reporting logic. Produce clear and structured documentation, user stories, acceptance criteria, process maps, and data definitions. Document data flows, source systems, and operational processes to support accurate modelling and reporting. Maintain organised documentation that is accessible and reusable for the wider Data & Analytics team.
- Data Quality, Definitions & Metric Support: Collaborate with SMEs to define and validate KPIs, business terms, and calculation logic. Assist in maintaining a consistent business glossary and data dictionary. Support source-to-target mapping and identification of inconsistencies or data-quality issues. Investigate data anomalies with analysts/engineers to understand root causes. Contribute to process improvements that enhance accuracy and consistency.
- Process Improvement & Delivery Enablement: Analyse and document existing workflows to identify inefficiencies or gaps. Work with analysts and engineers to ensure requirements are understood and feasible. Support testing of new dashboards, APIs, datasets, or CMDB enhancements by validating outputs against requirements. Facilitate workshops, review sessions, and walkthroughs to align understanding across teams. Help manage small change requests and ensure smooth adoption of new data products.
- Stakeholder Engagement & Communication: Build strong commercial and support teams. Communicate requirements, issues, and findings clearly to both technical and non-technical audiences. Assist stakeholders in understanding new reports, KPIs, and data structures. Gather feedback from users and channel it into actionable improvements for the Data & Analytics team.
READY TO APPLY: If you are interested in this role please upload your CV and answer a few questions about yourself.
OTHER INFORMATION: This is an exciting time at the Appello group - we are a company on the move and now is a perfect time to join our team. You’ll gain exceptional career opportunities and will be part of a company that is continuing to expand. We are committed to equal opportunities and welcome applicants regardless of religious beliefs, political opinion, race, sex, marital status, age or disability. If you require assistance to participate in the recruitment process, for example due to disability, please contact the careers Team.
Business Analyst - Data & Analytics in London employer: Appello Careline Limited.
Contact Detail:
Appello Careline Limited. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst - Data & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or other platforms. Let them know you're on the lookout for a Business Analyst role in Data & Analytics. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis and stakeholder engagement. We recommend doing mock interviews with friends or using online resources to get comfortable with articulating your experience.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your previous projects, especially those involving BI tools like Tableau or Power BI. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Business Analyst - Data & Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Business Analyst role. Highlight your experience in data, analytics, and documentation. We want to see how your skills match what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use examples from your past work to show how you've captured requirements and mapped processes. This will help us see your analytical mindset in action.
Be Clear and Concise: When writing your application, clarity is key. Use structured documentation and clear language to convey your experience and understanding of data flows. We appreciate straightforward communication!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into our system quickly. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Appello Careline Limited.
✨Know Your Data
As a Business Analyst, you'll be dealing with data all the time. Brush up on your knowledge of BI tools like Tableau and Power BI. Familiarise yourself with how these tools can help in validating and exploring data. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.
✨Master Requirements Gathering
This role requires you to capture requirements effectively. Prepare by practising how to articulate user stories and acceptance criteria. Think of examples from your past experiences where you successfully gathered and documented requirements, as this will demonstrate your ability to translate complex needs into clear documentation.
✨Engage Stakeholders
You'll need to communicate with both technical and non-technical stakeholders. Before the interview, think about how you've built relationships in previous roles. Be ready to share specific examples of how you’ve facilitated workshops or gathered feedback, as this will highlight your strong communication skills.
✨Show Your Analytical Mindset
The job calls for an analytical mindset, so come prepared with examples of how you've tackled data-related challenges. Discuss any experience you have with data quality frameworks or process improvements. This will not only showcase your problem-solving skills but also your proactive approach to enhancing data processes.
