Data Analyst

PHMG Careers
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Role: Data Analyst


Location: Old Trafford Manchester Hybrid working


Hours: 9:45am – 5:15pm Monday-Friday


Package: 35k OTE


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 leveragedata 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 are 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.


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.

Key Skills

Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics


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 PHMGs 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.


PHMGs 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, 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 36000 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.


Employment Type: Full Time


Vacancy: 1


#J-18808-Ljbffr

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 Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.