Senior Data Analyst in the Audiological Care division at Sonova. Collaborating globally to deliver data insights and optimize analytics practices using Power BI.
Responsibilities
Act as the analytics project lead, owning end-to-end delivery by coordinating stakeholders, prioritizing initiatives, and translating business problems into clear data and analytics requirements
Collaborate with stakeholders to understand reporting and analysis needs, ensuring alignment between business objectives and data capabilities
Work closely with data engineers to design, test, and optimize data pipelines that integrate information from multiple internal systems, including global CRM platforms and regional data warehouses
Explore and implement AI-powered solutions, such as large language models and workflow automation, to optimize repetitive processes, modernize analytics practices, and create new avenues for business value
Build, maintain, and enhance interactive dashboards and reports using Power BI and custom-built data products
Support decision-making by providing actionable insights and fostering a data-driven culture across Sonova’s global organization
Requirements
Minimum 3 years of experience in data analytics or within a data-focused environment
Strong SQL skills and proven experience in writing, optimizing, and troubleshooting complex queries
Hands-on experience with data visualization tools, ideally Power BI, or similar BI platforms
Structured, analytical mindset with excellent problem-solving skills and strong attention to detail
Ability to collaborate effectively with cross-functional teams, translating business requirements into technical data solutions
High level of independence, accountability, and precision, with the ability to manage multiple priorities in a dynamic, global environment
Experience in implementing AI-driven solutions, including LLM prototyping (e.g., Claude Code, Gemini CLI), workflow automation (e.g., LangChain, n8n), leveraging AI-enabled IDEs (e.g., Cursor) to speed up development and analysis, and improving marketing analytics workflows
Benefits
Flexible hybrid working model
Wide range of training opportunities
Exceptional growth opportunities with individual development plans
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