D ONE seeks a Lead Data Analytics Consultant in Zürich to guide clients through data project lifecycles, lead teams, and deliver high-quality analytics solutions.
This position focuses on advising organizations on how to conceive, plan, and execute data analytics initiatives. The consultant leads project teams to guarantee reliability and quality while managing client engagements from start to finish.
Responsibilities
- Managing client projects from initiation to completion.
- Delivering findings and insights to senior leadership and middle management.
- Guiding, mentoring, and growing a team of consultants.
- Engaging in technical work to design, build, and launch data products.
Requirements
- A Master’s or Doctorate degree in computer science or a quantitative discipline with significant computational experience.
- Between 7 and 12 years of professional experience, preferably within an international consulting environment.
- Solid understanding of at least one specific industry sector.
- Demonstrated proficiency with major data platforms and programming tools, including GCP, Azure, AWS, or Palantir.
- Possession of at least one certification in an agile framework, such as Certified Scrum Master or SAFe Architect/Product Manager, along with practical experience.
- Fluent written and spoken English communication abilities.
Nice to have
- Functional proficiency in German.
What the company offers
- A quiet, distraction-free workplace culture that prioritizes deep focus.
- Professional growth via the D ONE Academy, featuring mentoring, knowledge exchange, expert groups, and customized leadership training.
- Regular social gatherings and offsite team events.
About the company
D ONE operates on the belief that every organization will eventually become a data-driven entity. The firm assists clients in interpreting their data to create tangible value. The team is characterized by its international, diverse, and ambitious nature, while maintaining a fun and engaging work atmosphere.
- A focus on helping clients derive value from their data.
- An international and diverse team environment.
- A balance of ambition and enjoyment in daily work.
- Commitment to continuous learning through internal academies and mentoring.
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