Data Analyst

Full Time
  • August 24, 2026
  • Employment Info

    JOB  DETAILS

    What You’ll Do

    • Partner with the business – Work with non‑technical stakeholders to understand requirements, clarify questions, and deliver clear, actionable insights.
    • Support end‑to‑end analytics initiatives – Contribute to analytics projects from problem definition through to delivery, ensuring outputs align with business priorities.
    • Translate data into insights – Analyse datasets and develop reports, dashboards, and visualisations that support business decision-making.
    • Apply commercial thinking – Help assess the impact of initiatives and contribute to identifying opportunities to drive value through data.
    • Contribute to continuous improvement – Support improvements to analytics processes, data quality, and reporting practices.
    • Collaborate across teams – Work closely with data, technology, and business teams to deliver analytics solutions and share knowledge.

    Who You Are

    • Emerging analytics professional – You have solid experience in data analytics and are confident applying your technical skills to real business problems.
    • A strong collaborator – You build effective relationships and enjoy working with stakeholders to solve problems and deliver value.
    • Curious and analytical – You ask questions, explore data deeply, and challenge assumptions to uncover insights.
    • Commercially aware – You understand how data connects to business performance and decision-making.
    • Clear communicator – You can translate technical analysis into simple, meaningful insights for non‑technical audiences.
    • Adaptable and proactive – You work well in changing environments and take ownership of your work.

    What You Bring

    Required

    • Bachelor’s degree in Data Analytics, Data Science, Business Analytics, Computer Science, or similar
    • ~2–4 years’ experience in a data, analytics, or business intelligence role
    • Proficiency in SQL and at least one analytics language (e.g. Python, R)
    • Experience with BI tools (e.g. Power BI or Tableau)
    • Strong understanding of data transformation, modelling, and relational databases
    • Exposure to data governance concepts such as definitions, lineage, and calculations
    • Experience presenting insights to non‑technical stakeholders

    Preferred

    • Experience using Microsoft Fabric and/or Databricks
    • Exposure to ERP and/or CRM systems
    • Experience contributing to analytics initiatives across functions (e.g. Sales, Marketing, Operations)
    • Familiarity with statistical analysis, exploratory data analysis, or hypothesis‑driven approaches
    • Experience using Microsoft Power Platform (e.g. Power Automate)
    • Exposure to enterprise or large-scale data environments

     

     

     

    Are you interested in this position?

    Apply by clicking on the “Apply Now” button below!

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