Senior Business Analyst
S&P Global
AWSPandasPythonSQL
Job Level
Senior
Tech Stack
AWSAzureCloudETLTableau
About the role
- Act as the translator between stakeholders and delivery teams, co-creating clear requirements and managing blockers.
- Influence senior defence stakeholders, build trusted relationships, and ensure business needs align with operational and strategic outcomes.
- Lead discovery activities: scope opportunities, clarify problem spaces, and shape solutions that deliver maximum value.
- Map and analyse as-is processes, design to-be processes, and apply service and product thinking to create user-centred solutions.
- Analyse diverse data sources to define metrics, design meaningful MI, and create visualisations that enable decision-making.
- Lead MI and analytics projects, using modelling and analysis to assess risks, opportunities, benefits, and costs.
- Craft visual models, user stories, acceptance criteria, and concise documentation.
- Support implementation, troubleshoot issues, and ensure successful adoption of change.
- Mentor colleagues, share best practices, and contribute to the BA Community of Practice and career pathway.
- Champion responsible use of data, ensuring compliance with governance and ethical principles in sensitive defence environments.
Requirements
- Proven experience delivering management information (MI), data analytics, and discovery projects.
- Skilled in analysing data sources to define metrics and design dashboards/visualisations (Power BI, Tableau).
- Highly self-motivated and proactive, driving outcomes without waiting for instruction.
- Comfortable with ambiguity and able to operate effectively when challenges are unclear or complex.
- Confident engaging and influencing stakeholders, from C-suite to delivery squads.
- Skilled in eliciting and refining business requirements (workshops, interviews, workflow mapping).
- Experienced in Agile ways of working and tools (Jira, Azure DevOps, Trello).
- Proficient in developing Epics, Use Cases, and User Stories with scenario-based acceptance criteria.
- Knowledge of relational data modelling, ETL, and cloud platforms (Azure, AWS).
- Awareness of Data Science, AI, and big data principles.
- Desirable: Experience in Defence or Supply Chain sectors.
- Desirable: IIBA or BCS professional certification.
- Desirable: Awareness of data governance (DAMA) and/or data architecture principles.
- Desirable: Understanding of user-centred design and service design principles.
- Desirable: Exposure to AI-enabled analysis tools or low/no-code prototyping.
