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

Nominate & Attend

BI Data Analyst

Irlam
1 week ago
Create job alert

Our top telecoms client is looking for a BI Data Analyst to work on a contract basis in Irlam - (hybrid - 3 days in Manchester office, 2 days from home)
Our Client has a requirement for a BI Data Analyst, who will be required to work on a contract basis in Irlam.
Role Purpose:


  • The BI Data Analyst, the role will be responsible for leading and developing the Freedom Fibre (FFL) reporting views to ensure data driven insights which are under-pinned by a validated dataset, aligning to the data definitions set out by the business.

Job Role Responsibilities:

  • Create and maintain Reports to meet the needs of our customers (internal & external), as well as any other internal requirements.
  • Able to proficiently use MS Excel and reporting tools (PowerBI, Superset) and interrogate databases (e.g. SQL)
  • Analyse, mine, and process internal data using datasets from business systems to deliver a validated output.
  • Work closely and collaboratively with internal FFL departments to ensure the BI Team meets all reporting requirements and deadlines.
  • Input into new system selection, and upgrades to ensure data for reporting is correctly generated from these systems.
  • Drive continuous improvement of processes, highlight data discrepancies, and create operational procedures to address data quality.
  • Work within the relevant FFL policies e.g. Information Security
  • Be a Subject Matter Expert in your allocated business area, and to cross train other BI Team members in this area’s needs.
  • Produce BI reports and chats communicating trends within the data
  • Regularly conduct checks to ensure the accuracy and integrity of system data, using appropriate tools to automate data processing tasks, enhancing efficiency and insight generation.
  • Define and monitor key performance indicators, ensuring alignment with business objectives.
  • Develop and administer reporting solutions to support decision-making.
  • Communicate insights and recommendations to stakeholders, fostering data-driven decision-making across the organisation.
  • Analyse data to identify trends and provide recommendations on how to address or improve these trends.
  • Research ways to make better use of company data and to better produce results using automation.
  • With supervision, synthesize data to form recommendations and actionable insights.
  • Filter and “clean” data by reviewing datasets, and performance indicators to locate and correct issues with the data.
    Experience / Skills / Knowledge / Qualifications:
  • Excellent skills on Microsoft applications, e.g. Excel formulas, pivots, and charts, PowerBI dashboards
  • Strong knowledge of Data Management platform
  • Ability to analyse, model & interpret data, including interpreting trends and/or patterns in complex data sets.
  • Acquiring data from primary or secondary data sources and maintaining databases
  • Previous experience within Telecoms, specifically Fibre related products and understanding of network topologies such as Point to Point (POP) / 10 Gigabit passive optical network (XGS-PON)
  • Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with accuracy.
  • Basic understanding of programming principles, previous excel work or python, working with conditional formulas/expressions (IF-ELSE logic)
  • The ability to present data/information concisely to all levels required, including members of senior management team.
  • Ideally qualified to degree level in a relevant subject, or experience equivalent to this
  • Power BI and/or other similar or relevant qualifications/skills
    Benefits:
  • Hybrid working
  • Competitive rate
    Company information
    At First Recruitment Group we understand just how important it is to secure the right people. That is why our Recruitment Consultants always take the time to understand requirements in detail and offer sound advice to both clients and candidates. We actively recruit at all levels and this is a superb opportunity for a BI Data Analyst looking for new employment.
    As part of putting people first, we strive to be an equal opportunities employer and we are always looking to increase the diversity of our workforce, working closely with our clients to ensure everyone is included

Related Jobs

View all jobs

Power BI Data Analyst

Power BI Data Analyst

Data Analyst

Associate Data Analyst

Data Analyst

Digital Data Analyst (Finance)

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.