Business Intelligence Analyst

Responsibilities

• Design, build, and maintain interactive dashboards and reports in Power BI for finance and business stakeholders.
• Partner with FP&A, finance, and operational teams to understand reporting requirements and translate them into effective BI solutions.
• Analyse financial and operational performance data to identify trends, risks, and opportunities.
• Support budgeting, forecasting, and monthly performance review processes through robust reporting and insight generation.
• Develop and optimise data models, datasets, and reporting structures to improve reporting accuracy and efficiency.
• Collaborate with cross-functional teams to improve data quality, consistency, and governance.
• Automate manual reporting processes where possible to reduce effort and improve timeliness.
• Provide variance analysis and ad hoc reporting to support decision-making across the business.
• Ensure reporting outputs are accurate, reliable, and aligned with business definitions and KPIs.
• Support continuous improvement initiatives in reporting, analytics, and performance management.

Qualifications

• Proven experience in a Business Intelligence Analyst, Reporting Analyst, or similar analytical role.
• Strong hands‑on experience with Power BI, including dashboard development, data modelling, DAX, and Power Query.
• Experience working with large and complex datasets from multiple sources.
• Solid understanding of financial reporting, budgeting, forecasting principles.
• Strong analytical and problem‑solving skills, with the ability to interpret data and communicate meaningful insights.
• Advanced Excel skills and experience with reporting tools and data extraction processes.
• Experience working with ERP or finance systems is desirable.
• Strong stakeholder management skills with the ability to work across finance and non‑finance teams.
• Excellent communication skills, with the ability to present technical findings in a clear and business‑friendly way.
• Degree in Finance, Accounting, Business, Data Analytics, Information Systems, or a related discipline preferred.

Preferred Experience

• Experience supporting finance team in a commercial or industrial environment.
• Familiarity with SQL and other data querying / transformation tools.
• Experience in data governance, master data, or reporting standardisation initiatives.
• Exposure to international or matrix organisations.
• Experience in manufacturing, engineering, utilities, or related sectors would be advantageous.

Key Competencies

• Data visualisation and storytelling
• Commercial and financial acumen
• Attention to detail and accuracy
• Continuous improvement mindsetStakeholder collaboration and influence
• Ability to manage multiple priorities in a fast‑paced environment

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