IT Finance Business Analyst- Hungary

Company Description

ERP Logic is a globally recognized SAP Cloud Solutions company, specializing in SAP implementation and application services. Since its inception in 2009, the company has grown significantly to over 1,000 employees and expanded its presence across the United States, Europe, the Middle East, India, and Israel. As one of the top three SAP reseller partners globally for SAP S/4HANA Grow and SAP S/4HANA Rise, ERP Logic serves over 500 customers, including both large enterprises and mid-sized companies. With deep expertise in SAP S/4HANA and SAP ECC, ERP Logic supports businesses in transitioning to advanced ERP systems with a customer-centric approach and sustainable solutions.

Role Description

This is a full-time remote job opportunity for IT Finance Business Analyst. In this role, IT Finance Business Analyst will own and evolve Revenue & Gross-to-Net analytics that deliver end-to-end visibility from gross sales to net revenue, enable commercial and finance decision-making, and identify revenue leakage / deduction anomalies through scalable dashboards and data products.

Key responsibilities

• Hands on G2N analytic design & storytelling: build and maintain executive-ready views such as G2N waterfall, gross margin bridge, and deduction drivers across products/customers/channels.
• Develop scalable Power BI dashboards (semantic models + measures + report UX) with strong adoption patterns and self-service enablement.
• Perform deep-dive commercial/finance analyses: detect trends, outliers, and performance drivers; translate into actions for pricing, contracting, and commercial strategy.
• Revenue leakage prevention analytics: build automated checks to compare contractual/program expectations vs. actual deductions/claims, and flag gaps for investigation
• Own KPI definitions and governance: standardize metric logic, definitions, hierarchies, and data quality checks so insights are auditable and consistent.
• Hands-on SQL analytics: extract, join, and validate data across multiple sources; create reusable datasets/views for dashboarding and advanced analysis.
• Commercial process understanding: apply deep knowledge of pricing, contracting, sell-in/sell-out dynamics, and forecasting alignment (actuals vs plan, FX impact where relevant
• Tooling collaboration: interpret and leverage outputs from revenue management platforms (e.g., Model N / Vistex) to connect operational execution to analytics and controls – Great Benefit
• Drive continuous improvement: identify automation opportunities (less manual Excel), reduce cycle time, improve data transparency, and raise dashboard adoption/utility.

Education and Skill-set Required

• Bachelor’s degree in Finance, Economics, Industrial Engineering, Statistics, Computer Science, or equivalent practical experience
• 8+ years in analytics, dashboarding, and business-facing insights roles (commercial finance / revenue analytics strongly preferred).(your stated requirement; included as-is)
• Proven experience delivering executive-ready dashboards and trusted KPI suites in Power BI
• Strong, hands-on SQL (joins, aggregations, data validation, performance mindset)
• Deep understanding of commercial and financial processes affecting net revenue (pricing, discounts, rebates/chargebacks, accruals, returns, distributor/channel considerations)
• Ability to explain and operationalize gross-to-net concepts and drivers for varied audiences
• Exceptional ability to communicate clearly across levels (detail with analysts; concise narratives for leaders)
• Self-driven, proactive, comfortable operating with ambiguity, and able to own outcomes end-to-end.(your stated requirement; included as-is)

Nice-to-have (advantages / differentiators)

• Experience with revenue management tools such as Model N or Vistex (pricing, contracts, rebates/chargebacks, accrual/settlement processes)
• Exposure to auditability / SOX-minded controls around revenue analytics and deduction processes
• Familiarity with pharma GTN complexity and challenges such as evolving contractual/regulatory dynamics and data silos