National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Analyst

DataAnalystJobs.io
united kingdom
1 month ago
Create job alert

Values are extremely important to our culture and success. As a key member of the team, you will enjoy working in a team that is continually evolving, working at pace, and sometimes thinking outside the box to make things happen. You will be keen to learn and develop in your role; we understand this may be at your own pace and role dependent. You will be open and honest and show that you are reliable.


TheSenior Data Analystrole

This role sits within our Systems & Development team and acts as a bridge between business and technical teams, supporting our Head of Systems & Development to ensure accessible, clear reporting based on data from our data engineering platform.


You will help ensure that business processes are fit for purpose, enabling effective reporting and analysis while reducing manual work. You will work with data from various systems, collaborating with developers, business users, and data owners to manage and extract data in line with industry best practices and regulatory requirements.


Key responsibilities include...


  1. Developing reporting dashboards with PowerBI or similar tools for operational clarity.
  2. Creating data workflows using PySpark and SQL for reporting and analysis.
  3. Identifying data errors and inconsistencies across systems and processes.
  4. Driving improvements to simplify data management and reduce downstream complexity.
  5. Developing monitoring tools for system validation and data error investigation.
  6. Ensuring data retention, documentation, and compliance with privacy and security standards.
  7. Documenting data sources, processes, reports, and data objects.
  8. Supporting system migrations with data cleanup and validation.


Ideal candidate profile...

We seek a proactive, experiencedSenior Data Analystwith the ability to collaborate across teams and a strong understanding of data governance and legislation like UK GDPR. Experience in the FTTP industry is preferred. You should have excellent communication skills, proficiency in BI tools, Python, SQL, and familiarity with Linux/MacOS systems. A degree in a relevant field or equivalent professional experience is expected.


Company Benefits...


  • Salary up to £60,000 based on experience.
  • 25 days holiday plus bank holidays.
  • Day off for your birthday.
  • Pension scheme with employer contributions.
  • Health cash plan and 24/7 online doctor access.
  • Discounts from over 1000 retailers.
  • Opportunities for skill development and career growth in a pioneering broadband project.


We offer flexible working, extensive training, and the chance to contribute to building the UK's future broadband infrastructure.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst | Cambridge | Fintech

Senior Data Analyst

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.