Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

How will you make an impact?
We are seeking a Senior Business Analyst to join our Automation, AI, & Data organization as part of the Data Product Solutions team. In this role, you will play a critical part in supporting finance, commercial, and marketing teams through sophisticated data analysis and strategic insight generation. Maximising your expertise in databases, statistical methods, cloud technologies, and CRM/ERP systems, you will help drive data-informed decision-making for revenue forecasting, market segmentation, and Annual Operating Plan (AOP) development. By partnering closely with multi-functional teams, you will deliver impactful insights that directly influence revenue growth and commercial strategy.

Responsibilities

Analyze and interpret complex data sets related to revenue, commercial performance, and marketing to deliver clear, actionable business insights.Collaborate with multi-functional teams to gather requirements and translate business needs into scalable technical solutions.Lead Annual Operating Plan (AOP) development by supporting revenue forecasting, trend analysis, and market segmentation.Design, develop, and optimize ETL processes to ensure accurate, efficient, and reliable data integration across systems.Develop and maintain dashboards, reports, and visualizations using tools like Power BI to effectively communicate critical metrics and trends to partners.

Experience

5+ years of experience as a data analyst, preferably in roles supporting strategic accounts, finance, or commercial operationsDemonstrable ability to lead data projects end-to-end—from requirements gathering through execution and delivery—ensuring alignment with business objectives and timelinesSolid understanding of agile methodologies to support iterative development and continuous improvement of data solutionsSolid understanding of finance and commercial domains, including relevant business systems (ERP, CRM) and the data they generateStrong proficiency in SQL for advanced data querying, analysis, and optimizationExperience designing ETL processes and working with large datasets in data warehouse environmentsFamiliarity with cloud-based data platforms, particularly AWS, Azure, and DatabricksCompetence in statistical analysis techniques such as regression, hypothesis testing, and forecasting for deriving actionable insightsHands-on experience with data visualization tools, including Power BI, Tableau, or similar platformsAwareness of large language models (LLMs) and their practical applications, with the ability to find opportunities to integrate AI into data-driven solutions

Education

Bachelor’s degree in a technical field such as Computer Science, Business Analytics, Information Systems, or a related field requiredMaster’s degree preferred