Data Analyst

M3EU
Abingdon
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Job Description

As an M3 EU Data Analyst you will be responsible delivering and maintaining innovative, market-leading digital data dashboards, reports and insights.

As part of your role, you will work closely with commercial and operational teams to gather and distil relevant customer insights to create compelling data stories that meet the needs of clients and support our commercial objectives, as well as and delivering on our short- and long-term business strategy.

In this role you will work closely with the Product and Data Engineering Teams to understand requirements and liaise with the data engineering team on required improvements before creating and  delivering best-in-class reporting and insights.

You’ll have the opportunity to bring a passion for innovative visual and verbal data narratives to a well-established business in need of an organised, productive data analyst.

Essential Duties and Responsibilities (overall summary of the role):

Including, but not limited to the following:

  • Client Dashboard and Report Creation and Maintenance– including QA and data integrity
  • Client KPI model refinement– regular review of our client KPI model and forecasting process
  • Internal KPI settingand results analysis for Product and Community teams
  • Data Analysis– regularly review data outputs to identify actionable insights that can be used to improve the business
  • Verbal Communication– requirement gathering, cross-functional collaboration to understand the needs of the business
  • Visual Communication- storytelling through data visualisation and data narratives


Qualifications

  • Data Toolkit- Applied knowledge of data & analytics tools and approaches across all data lifecycle stages. Data visualisation tools such as Tableau, Power BI, Qlik. Languages including SQL, Python, frameworks such as DBT
  • Data Visualisation- Keen interest in visualisations and storytelling through data
  • Expert communicator- Ability to explain complex concepts in simple terms
  • Compliance- Experience with data compliance (GDPR and regulated industries)
  • Customer-centricwith a pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Deadline-oriented, detailed, a self-starter
  • Entrepreneurial- a curiosity about business advancement and a strategy thought-partner
  • Experience– 5+ years’ experience



Additional Information

Benefits:   

  • 25 days annual leave
  • Participation in a company bonus scheme linked to personal and company performance
  • Group Life Cover 4x salary
  • Pension 4%/4% employee/employer contributions
  • Vitality medical after probation
  • Staff discount scheme
  • Discounted gym membership​

About M3 EU:

M3 EU is at the forefront of healthcare innovation, offering digital solutions across healthcare, life sciences, pharmaceuticals, and more. Since our inception in 2000, we’ve seen remarkable growth, fuelled by our mission to utilize the internet for a healthier world and more efficient healthcare systems.

Our success is anchored in our trusted digital platforms that engage physician communities globally, facilitating impactful medical education, precise job placement, and insightful market research. M3 EU prides itself on a dynamic and innovative work environment where every team member contributes to global health advancements.

Joining M3 EU means being part of a dedicated team striving to make a significant difference in healthcare. We provide a unique opportunity for you to be at the cutting edge of healthcare innovation, shaping the future in a meaningful career. Embrace the chance to drive change with M3 EU.

#LI-JG1
#LI-Hybrid

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.