Business Data Analyst / Business Data Analystess

Swiss Himmel GmbH - March 1, 2026

Job Title: Business Data Analyst – IT Solutions

Location: Basel, Switzerland
Experience: 15+ years
Employment Type: Full-time

About the Role

Swiss Himmel GmbH is on the lookout for an IT Business Data Analyst with extensive experience in enterprise banking systems, Swiss-specific interface design and integration, and data management modernization in Basel, Switzerland. This role emphasizes impact assessments for application re-wiring, resolution of data-related issues, data extraction and analysis to support business decision-making, stakeholder problem identification, management of legacy system migrations to a data lake, and continuous stakeholder engagement.

This is a unique opportunity for professionals possessing a blend of expertise in core banking, wealth management products, big data migration projects on the cloud, automation, and experience with both distributed on-prem Data Lakes and RDBMS.

Key Responsibilities

  • Translate business needs into data models while evaluating existing data models and physical databases for discrepancies.
  • Collaborate with IT and business stakeholders to enhance data quality and system functionalities.
  • Test newly sourced data sets against schemas and business requirements.
  • Utilize data visualization tools such as Tableau and Power BI effectively.
  • Leverage strong functional knowledge of financial instruments, including Equities, Bonds, Loans, and Derivatives products.
  • Analyze data to address complex systems, conduct Data Modeling, manage Data Governance, Data lineage across systems, and facilitate solutions for cloud data migration.
  • Perform qualitative data analysis and assist in mapping specifications for Extract, Transform and Load (ETL) processes from diverse datastores, building data pipelines for big data platforms and Data Warehouse/Data Lake.
  • Develop robust partnerships with business users by serving as a point of contact for capturing requirements, managing stakeholder expectations, and mitigating project-related risks.
  • Lead and manage legacy-to-modern data migrations, lifecycle projects, and cutover activities.
  • Guide and oversee onshore and offshore teams to ensure alignment with business goals and IT strategies.

Required Skills & Experience

  • Data Analytics, Data Warehousing, Data Modeling, MIS/BI, Requirements Gathering, and Business Analysis in the financial domain.
  • Functional Expertise: Banking and Financial services covering Capital Markets, Retail & Corporate Banking (Lending, Liability products, Payments, Corporate Loans, Collateral Lending, Payments & SWIFT, Portfolio, Credit Card systems).
  • Core Banking Products: Proficient knowledge of products such as Temenos, Midas Plus, Equation, Finacle, or a similar suite of applications.
  • Technical Skills: PL/SQL, Python, Unix/Linux, HP ALM, MS Project, MS Office, Microservices, REST/SOAP APIs.
  • Migration & Lifecycle Expertise: Extensive experience in legacy-to-modern data migrations, cutover projects, and lifecycle management.
  • Business Requirement Analysis & Project Management: Familiarity with Agile/Scrum, Jira, ServiceNow, ITIL processes (incident, problem, change management).
  • Experience in designing, implementing, and maintaining Cloud-based and SaaS software solutions.
  • Strong understanding of relational databases (Oracle/Sybase), ETL tools (Informatica), and BI tools (Tableau, Power BI).
  • Hands-on experience with reference and transaction data within a large banking landscape, covering multiple source systems and consumers.
  • Comprehensive knowledge of financial data classification/sensitivity and data modeling standards/tools.
  • A proven business-focused mindset that delivers value through automation, process improvements, and operational excellence.

Apply online using the form below. Only applications matching the job profile will be considered.

Location : Basel
Country : Switzerland

Application Form

Please enter your information in the following form and attach your resume (CV)

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