Description
We are seeking an Agile Techno Finance Analyst to join our team in Chennai, India. The successful candidate will be responsible for re-engineering core finance processes, specifically in Budgeting, Forecasting, and Budgetary Control, and translating those needs into a robust digital architecture.
Responsibilities
The Finance Transformation & Process Architect is a strategic hybrid role designed for a professional who "connects the dots" between complex financial operations and cutting-edge technology. You will:
- Lead cross-functional sprints between Finance and IT/GDIA to ensure digital tools are delivered on time and meet functional requirements.
- Lead the end-to-end mapping of finance workstreams (Planning, Forecasting, Month-end Close, and Budget Control).
- Utilize Value Stream Mapping (VSM) and process flow charting to identify bottlenecks and "friction points," designing future state architectures that eliminate manual intervention.
- Act as the primary translator between Finance stakeholders and IT/Data Engineering teams.
- Optimize and integrate finance workflows within SAP S/4HANA and Oracle Essbase environments.
- Develop and prototype efficiency tools like Data Form, the MS Power Platform (Power Automate/Apps), or Visualization tools (e.g. Power BI).
- Identify use cases for Agentic AI and LLMs to handle cognitive finance tasks, such as automated variance analysis, complex reconciliations, and predictive forecasting.
- Oversee the migration of finance data into Data Lakes/EDP.
- Serve as a Lead Citizen Developer and "AI Evangelist" for the Finance team.
Desired Technical Skills & Experience
- Core Finance Expertise: Deep functional knowledge of FP&A cycles, Budgeting, Forecasting, and Budgetary Control.
- Systems Proficiency: Hands-on experience with SAP S/4HANA and Oracle Essbase.
- Data Transformation & Analytics: Expert level in tools like Alteryx for ETL and data blending.
- Automation & Low-Code: Advanced proficiency in the MS Power Platform (Power Automate, Power Apps).
- Technical Literacy: Ability to write and understand SQL for data extraction, Python for advanced modeling, and a basic understanding of APIs for system integration.
Qualifications
- 5+ years of total professional experience, demonstrated through one of the following pathways:
+ Finance-First Professional: Bachelor’s degree in Finance, Accounting, or Economics, paired with a Master’s or certification in Business Analytics/Data Science. + Technical-First Professional: B.E. / B.Tech. in Computer Science, Data Analytics, or a related technical field.