Senior Finance Data Analyst

What’s the scope of this role?

As part of Finance Global Business Support, the Senior Finance Data Analyst in the Business Profitability Management (BPM) group is responsible for delivering accurate, scalable, and actionable data products that support senior leadership decision-making. This role focuses on building and maintaining reporting, analytics, and dashboards for incoming deals and ongoing projects, ensuring transparency into bookings, revenue, margin, and profitability performance.

Will own data quality across source systems and reporting layers, create automated reporting solutions, and partner with Finance and Operations teams to identify trends, risks, and opportunities. This role blends financial understanding with strong technical and data skills to enable faster, more reliable forecasting and performance monitoring.

Responsibilities

• Build, maintain, and continuously improve dashboards and recurring reporting for global bookings, revenue, margin, and profitability performance (Excel / Power BI / BI tools).
• Own end-to-end reporting workflows including data extraction, transformation, modeling, validation, and distribution to executives and senior management.
• Support monthly forecasting and actuals processes by delivering automated datasets, KPI tracking, and variance analytics (actual vs forecast vs prior periods).
• Develop and maintain data models using Power Query, Power Pivot, and/or BI semantic models, ensuring consistent definitions and reconciliation with source systems.
• Create executive-ready KPI decks and visual analytics; clearly communicate significant risks and drivers for bookings, revenue, and profit.
• Partner globally with BPM managers/analysts and operational stakeholders to identify data issues, root causes, and required adjustments to properly reflect forecast and performance.
• Identify opportunities to improve reporting accuracy and speed by implementing automation (Power Query, VBA, SQL, Power BI, workflows).
• Define business requirements and support testing/implementation of ERP-based automated profitability reporting and analytics tools.
• Establish and document data governance practices, report logic, KPI definitions, and process documentation to enable repeatability and auditability.
• Perform ad-hoc analysis and create one-time dashboards/models for leadership requests.

What are the skills required?

• Advanced Excel skills (large datasets, pivots, XLOOKUP/INDEX-MATCH, data validation, modeling) and ability to work with complex structured data
• Strong experience with data transformation and modeling using Power Query and Power Pivot (DAX a plus)
• Experience building dashboards and analytical reporting in Power BI or other BI tools (Tableau, Qlik, etc.)
• Experience working with Oracle Financials
• Ability to analyze large datasets, identify trends/outliers, and translate findings into clear business insights
• Solid understanding of data accuracy concepts: reconciliations, controls, audit trails, and source-to-report validation
• Hands-on technical skills with SQL (queries, joins, aggregations); VBA is a plus
• Strong communication skills (written and verbal) with ability to explain technical findings to non-technical stakeholders
• Strong organizational and time management skills; comfortable managing multiple priorities under deadlines
• Self-starter, detail-oriented, process improvement mindset; ability to document processes and standards
• Strong understanding of the business, with a proactive approach to identifying and anticipating needs
• Effective use of task organization and prioritization tools is essential, including Kanban, sprint planning, and other Agile practices
• Advanced/fluent oral and written English
• Availability to work from the office in hybrid mode

Experience

• 6+ years of experience in data analytics, reporting, business operations, or finance analytics
• Proven experience building automated reporting solutions, dashboards, and KPI tracking
• Experience supporting forecasting/actuals cycles and working with financial/operational metrics (bookings, revenue, margin, profitability)
• Experience working with ERP systems and extracting/transforming data from multiple sources
• Strong proficiency in Microsoft Office
• Hands-on experience with Power Query / Power Pivot / Power BI
• Hands-on experience in SQL and/or VBA; exposure to big data tools is a plus
• Experience using Oracle Financials
• Experience in multinational software/services environment is a plus

Education

• BS in Finance/Accounting/Business/Analytics (or related)

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