Operations Commercial Analyst

As a key member of the team, you will play a pivotal role in shaping and advancing our Business Intelligence strategy. You’ll champion best practices in data management and insight generation, ensuring that analytics are not only robust but also aligned with business priorities. By fostering data literacy across the organisation and promoting a culture of evidence-based decision-making, you’ll help embed data into the core of how we operate. Additionally, you will oversee the integrity and performance of our ETL processes and ensure our reporting infrastructure is accurate, consistent, and scalable to meet evolving business needs.

What you will be doing:

• Convert client data into insights with appropriate visualisations to present clear, compelling, meaningful, and engaging stories to technical and non-technical audiences.
• Engage with the Data and Analytics team to deliver automated, scalable operational dashboards and reports to internal and external stakeholders, supporting daily operations and strategic initiatives.
• Use best coding practices to generate reproducible work as advised and established by the Analytics and Data function.
• Develop and update technical documentation for the release of new client reporting.
• Drive the operating rhythm of the function.
• Engage with the Analytics and data functions as well as the Operations community to upskill the teams on existing reporting, BI and standard analytics tools.
• Promote a business insight-driven culture across RS IS functions and be an instrumental player of reporting standardisation activity across the operation community by reducing client custom reporting.
• Proactively identify business insight needs and build a reporting suite to provide insightful information to the Business.
• Knowledge of DAX/Power Query, SQL, VBA.
• Strong business acumen across multiple disciplines and areas such as Supply Chain and Operations.
• Knowledge of QlikView.
• Knowledge of Power BI.
• Strong analytical, problem-solving mindset.
• Avid interest in current and innovative analytics market trends i.e. modelling, predictive analytics, analytics automation.
• Knowledge of data management principles.
• Strong commercial acumen.

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