Manager Data Analytics (m/f/d) at Sonova Group | hitIT
Manager Data Analytics (m/f/d)
October 9, 2026
Hybrid
Lead
Berlin, Stäfa
LinkedIn
Worth knowing
English is required
Description
Sonova Group is hiring a Manager Data Analytics to establish and lead the day-to-day analytics capability within Global Marketing, based in Berlin or Stäfa on a hybrid model. This is an individual contributor role sitting close to the business, working directly with marketing, product and portfolio stakeholders to turn data into decision-ready insights. The role covers dashboards, recurring reporting, self-service analytics, A/B testing and acts as the main interface to the central Data & Data Science function.
Gender markers in the title: (m/f/d)
In accordance with European anti-discrimination legislation, this job is open to all candidates
Mmale
Ffemale
Ddiverse
Responsibilities
Partner with Global Marketing stakeholders to translate business questions into clear analytical requirements, KPIs and decision-ready insights
Deliver analyses across areas such as product usage, NPS and voice of the customer, campaign performance, digital behavior, funnel performance and customer feedback
Build and maintain dashboards, recurring reports and self-service analytics solutions
Combine information from different data sources and transform complex datasets into clear business stories, implications and recommendations
Act as Global Marketing's main interface to the central data and data science organization for advanced analytics and cross-functional projects
Support test-and-learn initiatives, A/B testing and experimental approaches
Manage recurring and ad hoc analytics requests while helping stakeholders prioritize the topics with the greatest business impact
Requirements
A degree in data science, business analytics, statistics, economics, marketing analytics or a related field
At least 5 years of experience in data analytics, business intelligence, marketing analytics or digital analytics
Strong experience working with large and complex datasets and translating them into actionable insights for business stakeholders
Hands-on experience with Power BI, SQL and Excel; knowledge of Python or R is an advantage
A good understanding of KPI frameworks, data visualization and applied business analytics
A self-starting, structured and independent working style, combined with strong stakeholder-management skills
Fluency in English; German is an advantage
Conditions
Flexible hybrid working model
30 days of paid annual leave
Subsidized VBB or Deutschland ticket
Dedicated learning and development budget and weekly learning time plus LinkedIn Learning license
Company Urban Sports Club membership
Mobility allowance for relocation if you are relocating to join our team