6 beste Stellen als machine learning engineer in zürich, zh – aktuell auf Personalsuche

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Business Analyst / Requirements Engineer

Sika -
Zürich, ZH

Direkt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

Management-Erfahrung
Englisch
Projektmanagement
Kommunikationsfähigkeit

Vollständige Stellenbeschreibung

Company Description

Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protection in the building sector and industry. Sika has subsidiaries in 103 countries around the world, produces in over 400 factories, and develops innovative technologies for customers worldwide. In doing so, it plays a crucial role in enabling the transformation of the construction and transportation industries toward greater environmental compatibility. Approximately 33,000 employees generated CHF 11.20 billion in sales in 2025.

Job Description

Join our Central Data & Analytics Team in Zürich as a Business Analyst / Requirements Engineer with project management responsibilities and help translate business needs into impactful data and analytics solutions.

In this role, you will work closely with stakeholders to identify data-driven opportunities, define requirements, and support the delivery of analytics initiatives.

Your Responsibilities

Analyze and translate business needs into requirements for data and analytics solutions, including the creation of conceptual and logical data models.
Facilitate workshops and stakeholder discussions to gather requirements and define data-driven use cases, ensuring clear communication and stakeholder alignment.
Lead the planning and delivery of data and analytics initiatives, ensuring alignment between business objectives and technical implementation.
Coordinate closely with data engineers, data scientists, and analysts to ensure successful implementation of requirements.
Lead and manage internal data and analytics projects, ensuring alignment of objectives, timelines, and stakeholders.
Organize and facilitate agile ceremonies such as sprint planning, reviews, and backlog refinement, while tracking progress and managing risks and dependencies.
Contribute to improving delivery processes, requirements engineering practices, and collaboration across the Data & Analytics ecosystem.

Qualifications

Your Expertise – Our Strength

A degree in Computer Science, Information Systems, Data Science, Business Administration, or equivalent professional experience.
Several years of proven experience in business analysis, requirements engineering, or project leadership within data, analytics, or digital transformation initiatives.
Strong understanding of data and analytics ecosystems (data platforms, BI tools, data pipelines, reporting) and experience translating business needs and business processes into structured technical requirements.
Solid project management and stakeholder management capabilities with experience coordinating cross-functional initiatives.
An analytical mindset with strong problem-solving abilities and the ability to work effectively with both technical and business teams.
Excellent communication and facilitation skills with a proven ability to engage stakeholders at all organizational levels.
Experience working in Agile or hybrid project delivery environments.
Fluency in English; proficiency in additional languages is a plus.

Additional Information

This role offers opportunities for growth into advanced data engineering positions and exposure to modern data technologies, analytics, and machine learning projects. Data Engineers are encouraged to pursue ongoing training and participate in Sika’s evolving global analytics platform.

We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.

Direkt bewerben

Erweiterte Suche

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