Responsibilities
* Partner with Finance and other business stakeholders to gather requirements and define high-quality, scalable data models and reporting solutions.
* Develop Power BI data models, DAX calculations, and reports to support business performance monitoring and decision-making.
* Translate business logic into structured, reusable SQL views and functions (within sandbox environments), and define clear specifications for the central IT team to implement.
* Collaborate with data engineers to shape pipeline logic and ensure robust, business-aligned implementation — even when implementation is handled externally.
* Perform root cause analysis and validation for data quality issues, working with the business and IT to resolve inconsistencies at the source wherever possible.
* Champion best practices in modelling, documentation, and governance across the Finance reporting stack.
* Contribute to the definition and rollout of a Finance-specific data architecture, aligned to V.’s wider enterprise data strategy.
* Act as a key contributor to a future-state data ecosystem where ownership of domain-specific logic and models sits closer to the business.
* Provide support for ad-hoc analysis and reporting needs from Finance leadership.
* Help build capability across the Finance team by coaching power users and contributing to knowledge sharing and process documentation.
Qualifications
* Experience in data architecture, business intelligence, or a closely related role, with strong hands-on experience in SQL and BI tools.
* Proficiency with Power BI (or equivalent), including dataset modelling, DAX development, and Power BI Service administration.
* Strong understanding of data modelling, ETL design, and performance tuning.
* Demonstrated ability to work effectively in constrained environments, influencing without authority and navigating organisational complexity.
* Excellent communication and stakeholder engagement skills, particularly the ability to translate between technical and business audiences.
* A passion for continuous improvement, documentation, and building data capability in others.
Minimum Requirements
* Bachelor’s or Master’s degree in computer science, Data Science, Information Systems, Finance, or a related field.
* Experience with the Azure data stack (e.g., ADF, ADLS, Synapse, Databricks) preferred.
* Experience working within large or matrixed organisations with centralised IT/data teams is a plus.
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