Data Analyst

PHMG
Manchester, England
6 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Data Scientist

Advertising Standard Authority Old Street, London, United Kingdom
£45,000 – £60,000 pa Hybrid

Data Scientist

Guidant Global London, United Kingdom
£600 – £850 pd On-site Clearance Required

Operations Analyst, User Operations (Trust & Safety) - EMEA

OpenAI London, United Kingdom
Hybrid

Treasury Back Office Analyst

Ocado United Kingdom

Senior Forensic Data Analytics Manager

Brimstone-Recruitment Dublin, City Of Dublin, Ireland
Posted
15 Nov 2025 (6 months ago)

Role: Data Analyst


Location: Old Trafford, Manchester – Hybrid working


Hours: 9:45am – 5:15pm Monday-Friday


Package: £35kOTE


PHMG is embarking on an exciting new phase in its journey, modernising our data capability and transforming how we work. This evolution presents significant opportunities to leveraged data more effectively, enabling us to better serve our customers and colleagues.


As part of this growth, we are expanding our team to maximise the value from the wealth of data stored across the organisation. To support this vision, we're seeking a Data Analyst to join the Technology Department.


The Data Analyst will play a key role in delivering high-quality, data-driven insights across the business. Working within the Reporting & Insights team, this role focuses on building and maintaining BI dashboards, producing accurate analysis using SQL and Power BI, and helping stakeholders make informed decisions through clear, actionable reporting.


Key Responsibilities
Technical Skills

  • Deliver BI dashboards and analytical reports using SQL, PowerBI and other reporting tools.
  • Extract, clean and transform data from multiple sources to create reliable datasets.
  • Apply best practices in data modelling, visualisation, and performance optimisation.
  • Contribute to shared documentation, definitions, and standards within the Reporting & Insights team.

Scope & Autonomy

  • Work on defined reporting tasks and deliverables within broader projects.
  • Manage own workload effectively, ensuring outputs meet agreed deadlines and specifications.
  • Escalate data or scope issues promptly to ensure timely resolution.

Business Impact

  • Produce accurate, insightful reporting that supports departmental and business decision-making.
  • Identify trends and variances in data to highlight opportunities, risks or process improvements.
  • Support senior analysts and leads in shaping departmental reporting.

Collaboration

  • Engage with stakeholders to clarify requirements before starting work on a report or dashboard.
  • Collaborate with peers and senior analysts to ensure consistent outputs and shared learning.
  • Communicate progress and blockers clearly with the Reporting Team Lead.

Innovation & Growth

  • Apply best practices in reporting and data visualisation.
  • Stay curious about emerging tools and methods in analytics, sharing ideas with the wider team.
  • Seek feedback from stakeholders and peers to continuously improve outputs.

Communication & Influence

  • Present insights clearly to peers and managers in verbal and written form.
  • Translate technical findings into accessible language for non-technical audiences.
  • Contribute to discussions around business performance and process improvement.

Governance & Quality

  • Follow team standards for data quality, documentation, and version control.
  • Ensure reports meet governance and accuracy requirements before release.
  • Contribute to improving consistency and quality across the reporting suite.

About You

  • Proficient in SQL for data extraction and transformation.
  • Skilled in Power BI or similar BI tools for building and publishing dashboards.
  • Strong analytical thinker with attention to detail and data accuracy.
  • Comfortable working to defined scopes and deadlines.
  • Curious, collaborative, and eager to develop technical and commercial understanding.

Career Progression

This role sits at the entry point of the Reporting & Insights career framework, with opportunities to progress into roles such as Senior Data Analyst and Lead Data Analyst, developing advanced technical capability and broader project ownership.


About PHMG Technology

The Technology Department brings together PHMG’s software development, IT, and data teams to deliver the systems, platforms, and insights that power the business. It operates as a unified function, fostering a culture that empowers developers, engineers, and analysts to excel.


PHMG’s CTO recognises that effective business intelligence is not the sole responsibility of one team, but a capability that should permeate the entire organisation. Our data functions act as enablers of self-serve analytics through robust data management, governance, and education. This ensures that business intelligence is accessible and leveraged across PHMG, driving data-driven decision-making at all levels.


We aim to create an environment where teams can do their best work. You’ll have the opportunity to influence decisions, help define technical standards, and contribute to a healthy, high‑performing, and happy working environment.


About PHMG

Established in 1998, PHMG has grown from a renowned Manchester-based business to the world’s leading audio branding agency – working with 36,000 clients in 54 countries across the globe. This expansive client list includes household names of the calibre of Samsung, Audi and Adidas, as well as SMEs in every sector of the global market. We give each of them a stellar production that combines creative copy, world‑class voice artistry and an exclusive Brand‑Sound‑Track™ – strengthening their business identity in the most memorable, emotive way.


#J-18808-Ljbffr

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.