17.10.2026 aktualisiert


100 % verfügbar
Senior Business Analyst and Product Owner - process analysis, automation, optimization, prototyping
Eglisau, Schweiz
Eglisau +25 km
M.A. in Finance and BankingÜber mich
With almost 20 years of experience in big organizations, I led processes improvements and automation projects, delivering user friendly tools and big data platforms. Where I can help with is to analyze your current setup, prototype solution that addresses your main pain points and help building it.
Skills
AutomatisierungBusiness IntelligenceBusiness AnalysisAutomatisierung von GeschäftsprozessenProzessoptimierungBusiness-Workflow-AnalyseOnline Analytical ProcessingScrumPrototypingProzessautomatisierungScaled Agile FrameworkSQLStrukturierte AnalyseWorkflowsProzessanalyse
Skills:
- Product roadmap definition, backlog prioritization and value assessment with Agile/Scrum framework
- Data pipelines and analytics architecture design with extensive experience in scalable data solutions and cloud-enabled ecosystems
- AI-assisted document intelligence: end-to-end workflows from document ingestion, data extraction and prcessing to analytics and reporting
- User Acceptance Testing (UAT), tests definition
- Metrics-driven validation processes for product development
- Automated, scalable financial data-reconciliation framework development and implementation
- Risk data frameworks development and performance measurement tools for financial institutions
- AI-enhanced process automation
- Project management
- Requirements engineering
- Excellent communication
- Building long-term relationships
- Stakeholder management
- Strong analytical & strategic thinking
Tools:
- MS Power Platform, RPA
- Microsoft Azure, AI Foundry, MS Fabric
- Jira, Confluence
- Figma, Lucid Charts, Balsamiq
- SQL, Python
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2026
Sprachen
DeutschgutEnglischverhandlungssicherPolnischMuttersprache
Projekthistorie
- Defined and owned the product vision, roadmap, and delivery strategy for AI-driven ingestion and structuring of data to enable an automated reconciliation workflow
- Acted as the bridge between business and technical teams, translating business needs into clear product requirements, prioritizing features, and driving delivery of private market data analytics platform
- Translating complex business needs into structured and clear requirements for engineering team for their technical design and implementation book of work
- Defined success metrics and KPIs, tracking business impact; achieved 90% automation for a category of investment statements and transactions data processing
- Collaborated with cross-functional teams (business, data engineering, data science, and IT) managed multiple stakeholders, ensured seamless delivery and alignment with organizational goals
- Continuously improved products based on user feedback, data insights from AI actions, and evolving business needs; applied best practices in agile delivery and product management with close alignment of business and IT stakeholders
- Delivered digital transformation initiatives within Wealth Management analytics and reporting platforms for UHNW client mandates
- Acted as the bridge between business and IT stakeholders, translating complex requirements into clear product/IT specifications and user stories
- Analyzed existing business processes and identified automation opportunities, resulting in business-friendly solutions helping in day-to-day activities
- Coordinated the migration of a legacy IBM Cognos Business Intelligence reporting solution to MicroStrategy
- Led UAT coordination, regression testing, and go-live readiness; authored detailed business user manuals and documentation to support user adoption
- Led requirements engineering, business and process analysis for an institutional performance measurement, attribution, cash flow analytics platform across multi-asset methodologies
- Collaborated with portfolio managers to capture, refine and validate business requirements for performance and attribution functionalities
- Supported system enhancements by reviewing solutions, clarifying requirements, and contributing to impact analysis
- Participated in testing activities, including test case review and defect resolution support, to ensure alignment with business and performance requirements
- Assisted with production deployment by preparing documentation, coordinating with technical teams and supporting post-deployment validation
Zertifikate
Prompt Engineering for ChatGPT
Coursera2026
Practical LLM
DataWorkshop2025
Python for Machine Learning
DataWorkshop2019
Certificate in Investment Performance Measurement
CFA Institute2013