Data Analytics Manager (Finance)

Job Responsibilities:

• Lead Finance's transition to GCP/Looker by converting business objectives into structured specifications, user scenarios, business logic, and validation approaches.
• Drive the build-out of high-priority Finance data solutions (e.g., management insights and profitability tracking) in line with strategic direction.
• Engage cross-region and group stakeholders to ensure consistency in data definitions, access controls, and interdependencies.
• Maintain end-to-end oversight of migration artefacts, including requirement documentation, testing outputs, issue tracking, backlog management, and approvals.
• Utilize practical expertise in GCP, Looker, SQL/BigQuery, and financial data structures to support solution architecture and uphold data integrity.
• Partner with engineering teams on data structuring and validation while actively contributing to solution design.
• Deliver and enhance Finance-facing analytics outputs, addressing defects and optimisation needs.
• Run the intake and prioritisation process for Finance-related analytics, data initiatives, and AI use cases.
• Interpret stakeholder inputs and translate them into structured deliverables and adoption plans.
• Develop and refine AI applications for Finance, including defining pilot scopes, validation logic, and usage guidelines.
• Produce leadership-facing updates, including roadmaps, governance materials, and status reporting.
• Drive execution across project milestones, managing risks, dependencies, and escalation paths.
• Create scalable documentation and reusable frameworks to ensure continuity and knowledge retention.

Job Requirements:

• Degree holder (or higher) in fields such as Finance, Accounting, Business Analytics, Information Systems, Data Science, Engineering, Computer Science, or a related area.
• Around 8-10 years of relevant experience in areas such as financial analytics, business control, data solution ownership, digital initiatives, or analytics development.
• Proven practical experience delivering Finance-focused data solutions on GCP/Looker, with working knowledge of SQL, BigQuery, LookML, financial data structures, semantic modeling, data validation, testing processes, and business sign-off practices.
• Strong commercial and financial acumen, with the ability to convert business requirements into structured data solutions, including definitions, validation approaches, and adoption strategies.
• Demonstrated ability to manage and align stakeholders across Finance, IT, and business users within regional or complex organisational structures.
• Solid project delivery and communication skills, including managing schedules, risks, and dependencies, as well as producing executive-level materials such as presentations, governance reports, decision documents, and stakeholder updates.