Senior Data Analyst

Tamworth
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Game Analytics

Senior Data Scientist

Senior Data Science Analyst - Shipping

Senior Football Data Scientist | Manchester United FC

Data Scientist

Senior Data Scientist

Senior Data Analyst - SAP, Alteryx, Tagetik

Tamworth based - Hybrid working (2/3 days in office)

Manufacturing Industry

This brand new role for a Global Manufacturer plays a key part for the business growth. As a Senior Data Analyst, you will be extracting, analyzing, and visualizing complex data from global ERP systems, reconciling financial data in Tagetik, and collaborating with global commercial, finance, and engineering teams. Your insights will drive strategic decision-making, sales performance tracking, and business optimization.

An understanding and experience working with finance teams would be beneficial.

In this role you will:

  • Extract, transform, and analyze sales and gross margin data from global ERP systems.
  • Reconcile financial data in Tagetik, ensuring consistency with global financial reporting.
  • Develop and maintain dashboards using Power BI, Tableau, and Alteryx to support commercial and financial decision-making.
  • Model complex business scenarios, identifying key value drivers and strategic opportunities.
  • Use creativity in data storytelling, delivering compelling insights to internal stakeholders.
  • Work with global finance, commercial, and engineering teams to validate data, ensuring accuracy and deeper insights.
  • Ensure proper allocation of market segments, strategic pillars, vertical markets, and submarkets for precise reporting.
  • Develop big data solutions and automation techniques to uncover insights and optimize business processes.

    Experience needed:

    Experience in data analytics, financial reporting, or commercial analysis.
    Expertise in data reconciliation, particularly with Tagetik.
    Strong skills in Alteryx, Power BI, Tableau, PowerQuery, SQL, and Python.
    Ability to model complex business aspects and analyze their value drivers.
    Hands-on experience with ERP systems (SAP, Oracle, or similar) for data extraction and transformation.
    Familiarity with cloud environments (Azure) and machine learning techniques is advantageous.
    Proven experience in business partnering, working with global teams across finance, engineering, and commercial functions.
    Experience in project and team leadership, with the ability to manage stakeholders and influence decision-making.Please apply asap if interested. GleeIT - Senior Data Analyst

    At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.

    By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.