The Straumann Group (SIX: STMN) is a global leader in tooth replacement and orthodontic solutions that restore smiles and confidence.
It unites global and international brands that stand for excellence, innovation and quality in replacement, corrective and digital dentistry, including Anthogyr, ClearCorrect, Medentika, Neodent, NUVO, Straumann and other fully/partly owned companies and partners.
In collaboration with leading clinics, institutes and universities, the Group researches, develops, manufactures and suppliesdental implants, instruments, CADCAM prosthetics, orthodontic aligners, biomaterials and digital solutions for use in tooth correction, replacement and restoration or to prevent tooth loss.
Headquartered in Basel, Switzerland, the Group currently employs more than 11'000 people worldwide.
Its products, solutions and services are available in more than 100 countries.
The Data Expert will harness the power of data transformation, quality assurance & visualization to drive our data analytics – business intelligence products (Power BI) of the E2E supply chain operations.
As Data Expert, you will play a pivotal role in transforming raw supply chain data into actionable insights, ensuring high data integrity, quality, security and dashboard visualizations following the best practices for providing a global organization with the tools needed for data-driven decision-making.
As a Data Expert, you will lead the transformation of raw supply chain data into actionable insights, ensuring high standards of data quality, security, and visualization.
By leveraging Power BI, AWS, and Snowflake, you will create robust business intelligence products that empower a global organization to make data-driven decisions.
You will act as the key point of expertise for data transformation (ETL), quality assurance, and Power BI development within the context of supply chain analytics.
This role offers an opportunity to collaborate with technical teams and business stakeholders to shape the organization's data intelligence engine, with significant growth potential in both technical and business domains.
Key Responsibilities Data Extraction & Transformation Utilize Power Query and ETL techniques to extract and transform supply chain data from diverse sources.Analyze and transform data in AWS and Snowflake, preparing it for visualization in Power BI.Power BI Development Design and develop interactive dashboards and reports to visualize supply chain performance metrics, trends, and actionable insights.Connect Power BI to various data sources (Snowflake, APIs, SQL,..)Application of row-level securityData Modeling Create and optimize data models in Snowflake and Power BI to support complex analytical requirements.Data Quality Assurance Implement quality checks and validation processes to ensure data integrity and reliability in reports and dashboards.Data Security Apply robust data security measures, including row-level security standards, to ensure compliance with governance policies.KPI Tracking Build and evolve KPI dashboards for global and operational supply chain functions, enabling real-time, data-driven decision-making.Automation Utilize Power Automate to streamline data refreshes and automate report distribution.User Experience & Training Ensure dashboards adhere to UX/UI best practices and provide data storytelling based training for end-users on self-service capabilities in Power BI.Documentation & Governance Maintain thorough documentation of solutions, ensuring adherence to best practices in version control and data governance.Requirements needed Education and Eperience Bachelor's degree in Data Science, Business Analytics, Information Technology, or a related field.Proven experience as a Data Analyst, Data Engineer, and/or Power BI Developer.Proficiency in Power Query, DAX, SQL, and M.Experience with AWS (S3, Glue, Athena) & Snowflake (or other recognized data warehousing solutions), relational databases, and data quality processes.Experience with Python & ETL developmentHands-on experience with Power Automate is preferred.Strong problem-solving and attention-to-detail capabilities.Additional Skills Exposure to supply chain concepts and data is an advantage.Strong communication skills in English (exposure to global technical teams & business stakeholders).
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