Business Data Analyst | Global Consumer Brand (Sports)
This role is for a Business Data Analyst who can turn complex datasets into critical business insights. This position supports Sales, Marketing, and Finance, driving data visualisation, KPI tracking, and forecasting to improve commercial decision-making.
It’s a high-visibility, business-facing role, ideal for someone who thrives on autonomy, stakeholder engagement, and delivering insights rather than just building reports.
The Role:
* Deliver data-driven insights – Supporting Sales & Marketing with KPIs, forecasting, and quarterly business reviews.
* Own key dashboards & reporting – Work with Power BI, Python, and Azure, integrating multiple data sources.
* Support commercial analytics – Customer trends, market share tracking, and business performance analysis.
* Be a key business partner – Engaging across the business to support decision-making with data-driven insights.
* Part of a global Data & Analytics team – Collaborate on best practices, reporting, and strategy alignment.
What We’re Looking For:
* Data analytics & visualisation skills – Power BI, Python, SQL, and cloud-based tools (Azure, Snowflake).
* Strong commercial acumen – Ability to translate data into business strategy.
* Stakeholder management – Confident in presenting insights to senior leaders.
* Autonomous & accountable – Someone who can own projects and deliver results.
Why Consider This Role?
* Strong brand presence – Join a well-established, globally recognised company with a strong reputation in the market.
* Opportunity for ownership – Take charge of key dashboards, analytics, and reporting, influencing decision-making across the business.
* Career growth – Gain exposure to high-impact projects and emerging data technologies, with scope to develop your skill set.
* Supportive & engaging culture – Work in a collaborative, down-to-earth team that values initiative and contribution.
Interested? Apply today or reach out to me directly for a confidential chat.
Seniority level: Associate
Employment type: Full-time
Job function: Information Technology
Industry: Sporting Goods Manufacturing, IT System Data Services, and Data Infrastructure and Analytics
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