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 operations
- Demonstrable ability to lead data projects end-to-end—from requirements gathering through execution and delivery—ensuring alignment with business objectives and timelines
- Solid understanding of agile methodologies to support iterative development and continuous improvement of data solutions
- Solid understanding of finance and commercial domains, including relevant business systems (ERP, CRM) and the data they generate
- Strong proficiency in SQL for advanced data querying, analysis, and optimization
- Experience designing ETL processes and working with large datasets in data warehouse environments
- Familiarity with cloud-based data platforms, particularly AWS, Azure, and Databricks
- Competence in statistical analysis techniques such as regression, hypothesis testing, and forecasting for deriving actionable insights
- Hands-on experience with data visualization tools, including Power BI, Tableau, or similar platforms
- Awareness 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 required
- Master’s degree preferred
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