Senior Data Analyst

Tamworth
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

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

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 Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.