Job Purpose
To ensure the accurate, timely, and consistent delivery of Coffee operational and commercial performance data through well-maintained Power BI dashboards, supporting the Coffee Executive Committee and senior management in making informed business decisions.
Key Responsibilities
Dashboard Management & Reporting:
- Own the end-to-end maintenance and regular updating of Coffee Power BI dashboards presented to the Coffee Executive Committee and senior management teams.
- Ensure all dashboards reflect current, accurate, and complete data at all times, in line with agreed reporting cadences.
- Consolidate inputs from multiple business units and data sources into coherent, reliable dashboard outputs.
- Proactively identify and resolve data discrepancies, flagging issues to the Operations Support Analyst as appropriate.
- Continuously improve dashboard design, usability, and performance, applying best practices in Power BI development.
- Work closely with the London-based Operations team to align on reporting requirements and priorities.
- Support the Coffee Operations team and Commercial teams with relevant operational data and ad hoc analytical requests.
- Maintain and improve underlying reporting templates and data models to support scalability and efficiency.
Job Requirements
Education: Degree in Business, Economics, Data Analytics, Supply Chain, or a related field
Experience: 1–3 years of experience in reporting, data analytics, or BI roles, with hands-on Power BI development experience
Technical Skills: Strong proficiency in Power BI (dashboard creation, DAX, data modelling, and ongoing maintenance); strong Excel skills (pivot tables, lookups, basic automation)
Languages: Professional English (written and spoken) for collaboration with international teams
Other
- Demonstrated ability to build and maintain complex, high-visibility dashboards for senior stakeholders.
- Interest in the coffee commodity business and willingness to develop domain knowledge.
- Excellent attention to detail, strong organizational skills, and a structured approach to data quality.
- Proactive, collaborative, and comfortable working independently alongside globally distributed teams.
