- Drive the Finance IT business analysis towards the implementation of our Finance Target Architecture (Azure Databricks), enabling end-to-end Finance data flows, from ingestion via enrichment including reporting capability building
- Work closely with our business counterparts and stakeholders to capture complete and accurate business needs and help translate them into implementable work items in Azure DevOps
- Team up with software development teams within the Data & Analytics Product Area, and collaborate with other teams in Finance IT to drive the implementation (focus on Finance source system data flowing in the finance system)
- Analyze, manage, and document the as-is status of business/finance data and provide gap analysis to meet all finance system data requirements
- Specify source system data derivation rules with high quality, including proposing feasible and workable solutions
- Model data and integrate with the existing data landscape
- Provide test data and executes the testing process in close collaboration with the developers working on the implementation
- Coordinate and support UATs, including creation / enhancement of training documentation
- Monitor and keep the proposed solutions up to date under changing assumptions
- support Go live and the establishment of the BAU process
Top 3 essentials skills/experience-based requirements?
- Senior BA with at least 8 years of experience working on complex projects in the financial industry
- Strong SQL and data analysis skills
- xperience working with data models
Desired Skills and Qualifications: The hard facts - We are sure you have many qualifications, but these are the ones we are most interested in:
- Senior BA with at least 8 years of experience working on complex projects with agile delivery methods, preferably in the financial industry
- Ability to eloquently explain and convincingly influence in English
- Ability to write high quality work items in English which correctly capture business requirements into IT specified implementation features
- Strong SQL and data analysis skills
- Finance and accounting knowledge
- Data model literacy: can read and analyze complex logical and physical data models
- Python skills The soft skills - It would really make us excited to have you on board if you:
- Learn fast and understand dependencies in a complex architectural landscape
- Are solutions oriented and curious
- Persevere, but know when it's the right moment to change course and or to escalate
- Are thorough and focused •
- Have an inquisitive nature and logical mind •
- Are confident working in a large cross functional international team from and located in various locations
- Like challenging and being challenged to find the best solutions
- Professional documentation skills
