Senior Data Analyst

JobsCloseBy Editorial Insights

IFS is seeking a Senior Data Analyst to interrogate Finance, commercial data, identify trends and drive strategic insights, working with Finance, FP&A, Operations and stakeholders to translate questions into analytical outputs. You’ll design, develop and maintain Power BI dashboards with metrics, support ARR by product and planning cycles, and promote self-service analytics. The role requires advanced Power BI and SQL, data modeling, KPI design, data quality governance and the ability to present technical topics in plain business language. Preferred: Finance or SaaS metrics experience, Fabric, Databricks, DAX, Python, strong storytelling. Apply by tailoring your resume to show measurable outcomes, linking dashboards, sharing a portfolio, and confirming on site Dubai availability in a fast moving environment.

Company Description

At IFS you will work in a growing, global enterprise software company built upon committed and empowered colleagues who come to work knowing they are making a difference. We work every day within our single platform and embedded digital innovation to help our customers be their best when it really matters to their customers – at the Moment of Service™. We take pride in ensuring that our employees are able to achieve the company goals as well as develop their career. We believe empowered autonomy, committed colleagues and being part of a winning team are the keys to our success and what makes us great!

We celebrate that IFS employees have diverse skills, experiences, and backgrounds. We believe that everyone should be able to bring their whole selves to work and be valued for it. It creates a culture that allows us to develop and expand our thinking. It enables us to achieve better results. By embracing and celebrating our differences, we are more representative of the customers, partners and communities we serve.  

Job Description

• Analyse complex Finance, commercial and operational datasets to identify trends, risks, opportunities and performance drivers.
• Partner with Finance, FP&A, Operations and executive stakeholders to understand business questions and translate them into analytical outputs.
• Design, develop and maintain Power BI dashboards, reports and data experiences with strong usability and consistent metric definitions.
• Support strategic Finance BI initiatives including ARR by Product, Personnel Planning, Finance Dashboard, planning cycles and executive reporting packs.
• Build business requirements, data definitions, KPI documentation and user stories for engineering and analytics delivery.
• Validate data accuracy, investigate variances and work with engineers or business owners to resolve data quality issues.
• Prepare clear insight summaries, commentary and recommendations for senior stakeholders.
• Drive adoption of self-service analytics by supporting users, improving report usability and promoting consistent data interpretation.
• Use AI-enabled analytics and Copilot-style workflows where appropriate to accelerate analysis, documentation and insight generation.
• Contribute to Finance BI standards for documentation, dashboard design, governance and reporting excellence.

Qualifications

• Strong experience in data analysis, business intelligence, Finance analytics or performance reporting.
• Advanced Power BI skills, including report design, dashboard development and data model understanding.
• Strong SQL skills and ability to interrogate, join and validate complex datasets.
• Ability to translate business requirements into analytical solutions and communicate technical topics in simple business language.
• Strong stakeholder management, documentation and presentation skills.
• Good understanding of KPI design, data quality, variance analysis and reporting governance.
• Ability to work independently in a fast-moving environment with multiple priorities.

PREFERRED SKILLS

• Finance, FP&A, SaaS metrics, ARR, ERP, planning or management reporting experience.
• Experience with Microsoft Fabric, Databricks, semantic models, Power Query, DAX, Python or other analytical tools.
• Strong data storytelling and executive presentation capability.
• Experience improving dashboard UI/UX and increasing analytics adoption.
• Exposure to AI-assisted analytics, Microsoft Copilot, Analyst Agents or data agents.

Additional Information

• Bachelor degree in Finance, Business Analytics, Data Analytics, Information Systems or equivalent practical experience.
• 4+ years of relevant experience in BI, data analytics, Finance analytics or business analysis.