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- Tasks: Lead complex analytics projects and mentor junior analysts to drive data-driven decisions.
- Company: AllPoints Fibre Networks, transforming connectivity across the UK with innovative fibre solutions.
- Benefits: 30 days annual leave, private medical cover, and wellness perks like massage reimbursements.
- Why this job: Make a real impact in a data-first organisation while working with cutting-edge technology.
- Qualifications: Strong analytical skills, advanced SQL, and experience with large datasets required.
- Other info: Join a curious and supportive culture with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
The Senior Data Analyst at AllPoints Fibre Networks plays a pivotal role in shaping how we use data to power decisions, drive operational efficiency, and unlock meaningful insights across the business. You’ll lead complex analytics projects, support APFN’s transformation into a data‑first organisation, and help elevate how data is produced, interpreted, and actioned across the company.
AllPoints Fibre is transforming connectivity across the UK. We’re a next‑generation full fibre network wholesaler, simplifying access to high‑speed broadband through an intelligent, API‑driven platform that brings together major networks such as Openreach, BT Wholesale, and CityFibre. Through aquila, our intelligent orchestration platform, we empower service providers with automation, real‑time insights, and seamless scalability — creating a dynamic environment for data professionals who enjoy solving complex problems and driving value through analytics.
What You Will Be Doing
- Lead complex analytics projects and guide deliverables for junior analysts and external contributors
- Mentor junior data team members and support skill development
- Shape and deliver improvements in BI processes, data quality, and analytics tooling
- Work closely with business stakeholders to understand requirements and translate them into robust analytical solutions
- Extract, validate and analyse large datasets across APFN and third‑party systems
- Develop dashboards, data models and visualisations that bring clarity to decision‑makers
- Conduct data investigations to understand trends, patterns, anomalies, and commercial opportunities
- Support data governance, GDPR compliance and security best practice
- Produce high‑quality documentation including data dictionaries, metadata and source information
- Stay current with evolving analytical tools and best practice
About You
- Have strong problem‑solving instincts and enjoy navigating complex data landscapes
- Communicate clearly with both technical and non‑technical audiences
- Are proactive, collaborative, and naturally curious
- Are comfortable balancing multiple projects, deadlines and stakeholder needs
- Want to contribute to a growing data function where your work will have high visibility and impact
Essential Your Skills
- Strong analytical skills and experience working with large datasets
- Advanced SQL and expertise in data visualisation and dashboard design
- Experience building MDM/data marts and optimising reporting performance
- Experience applying software development practices in a data environment
- Excellent Excel capability
- Strong communication and presentation skills
- Ability to lead complex data projects and mentor junior analysts
- Aware of GDPR and data privacy best practice
Desirable
- Telecoms industry data experience
- R or Python
- GIS knowledge (QGIS or similar)
- Experience with Azure Synapse, SQL Server, Fabric or Purview
- Experience applying ML models
Qualifications
- Undergraduate STEM or Computer Science degree
- Vendor certifications in analytics/visualisation desirable
The Benefits At APFN…
At APFN, we look after our people. Alongside Bupa private medical and dental cover, income protection, group life insurance and a comprehensive health plan, we also offer 30 days’ annual leave (pro rata) plus bank holidays, enhanced parental and sick leave, an employer‑contributory pension, and cashback and voucher schemes that support everyday spending — and yes, we even cover the cost of massages as part of our wellbeing commitment.
Our commitment to Diversity, Equity & Inclusion
We’re building a workplace where everyone feels valued and supported. We’re committed to fair pay, equal opportunities, structured development pathways, and initiatives such as our Women in Telecoms Network, apprenticeship programmes, and mandatory EDI training. If you’re excited by this role but don’t meet every requirement, we still encourage you to apply.
About Us
At AllPoints Fibre Networks, we make access to the UK’s full fibre footprint seamless, scalable and stress‑free. Our culture is curious, ambitious and supportive — we collaborate openly, solve challenges together and celebrate our progress as a team.
Next steps
If this opportunity feels right for you, we’d love to see your application. If shortlisted, our Talent Acquisition Team will be in touch to arrange an initial conversation. If you require any reasonable adjustments, please include this in your application or contact us to discuss your needs.
Senior Data Analyst in Reading employer: AllPoints Fibre Networks
Contact Detail:
AllPoints Fibre Networks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in Reading
✨Tip Number 1
Network like a pro! Reach out to current employees at AllPoints Fibre Networks on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. This insider info can give us a leg up!
✨Tip Number 2
Prepare for those tricky questions! Think about how your skills in SQL, data visualisation, and mentoring can shine through in real-world scenarios. We want to show how we can lead complex analytics projects and make an impact.
✨Tip Number 3
Show off your passion for data! During interviews, share examples of how you've tackled complex data challenges or improved BI processes. Let’s demonstrate our problem-solving instincts and curiosity — it’s what they’re looking for!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we can tailor our application to highlight how we fit into the AllPoints culture and values.
We think you need these skills to ace Senior Data Analyst in Reading
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong analytical skills and experience with large datasets. We want to see how you've used SQL and data visualisation tools in your previous roles, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Senior Data Analyst role. Mention specific projects or experiences that align with our mission at AllPoints Fibre Networks, especially those that showcase your problem-solving instincts.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your experience and skills shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at AllPoints Fibre Networks!
How to prepare for a job interview at AllPoints Fibre Networks
✨Know Your Data Inside Out
As a Senior Data Analyst, you'll be expected to lead complex analytics projects. Make sure you brush up on your SQL skills and be ready to discuss how you've handled large datasets in the past. Prepare examples of your work with data visualisation and dashboard design to showcase your expertise.
✨Communicate Like a Pro
You'll need to communicate effectively with both technical and non-technical audiences. Practice explaining your analytical processes and findings in simple terms. This will not only demonstrate your understanding but also show that you can bridge the gap between data and decision-making.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles and how you navigated them. Highlight your strong problem-solving instincts and provide examples of how you've turned complex data landscapes into actionable insights. This will resonate well with the company's focus on driving operational efficiency.
✨Stay Current and Curious
The field of data analytics is always evolving, so show your enthusiasm for learning. Mention any recent tools or methodologies you've explored, especially those related to BI processes or data governance. This will reflect your proactive nature and commitment to staying ahead in the industry.