Data Analyst (m/w)

univativ Schweiz AG; Zürich; Vor Ort; CHF 65’000 - 85’000; Vollzeit

Zusammenfassung

A leading company in Zurich seeks a data analyst to join their team. The role involves analyzing datasets, collaborating with teams to deliver tailored solutions, and contributing to business intelligence projects. This position provides opportunities for professional development in a dynamic and international environment.

Leistungen

Competitive salary with annual bonus opportunities

Flexible working hours and hybrid/remote work options

Generous holiday and paid time off policy

Access to internal learning platforms

Modern office space with subsidized meals

Qualifikationen

• Proven experience in data analysis or similar role.
• Familiarity with Python or R is a plus.
• Fluent in English.

Aufgaben

• Analyze large datasets to identify trends, patterns, and actionable insights.
• Build and maintain dashboards and reports for stakeholders.
• Support strategic decision-making through data visualizations.

Kenntnisse

Data analysis

Business intelligence

SQL

Data visualization

Analytical skills

Communication

Ausbildung

Bachelor’s degree in a quantitative field

Tools

Power BI

Tableau

Excel

Jobbeschreibung

Your opportunity through diversity! Whether IT, Economics or Engineering – we open doors to a wide range of fields and industries. With us, you’ll find more than just a job: exciting projects, individual development opportunities and real responsibility – whether you’re still studying, have recently graduated or already gained some professional experience.

Career Level: Experienced Professionals

Start and Duration: As soon as possible, limited for 3 months with option for extension and permanent employment

Workload: 100%
Location: Zurich/ZH
Project ID: A202550741 (please always mention when contacting us)

Are you passionate about data analytics and eager to gain your first professional experience in a dynamic, international environment? Are you interested in business intelligence, KPIs, and want to actively contribute to exciting analysis and reporting projects?
Then apply now!

Your Tasks:

• Analyze large datasets to identify trends, patterns, and actionable insights
• Build and maintain dashboards and reports for various business stakeholders
• Collaborate with cross-functional teams to gather data requirements and deliver tailored solutions
• Define, implement, and track key performance indicators (KPIs)
• Support strategic decision-making through clear visualizations and compelling data storytelling
• Ensure high data quality through validation processes and integrity checks

Your Profile:

• Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics)
• Proven experience in data analysis, business intelligence, or a similar role
• Strong SQL skills and proficiency with data visualization tools (e.g., Power BI, Tableau, Looker, Excel)
• Familiarity with Python or R is a plus
• Excellent analytical and problem-solving skills with high attention to detail
• Strong communication skills – able to explain complex data in a simple, actionable way
• Fluent in English (written and spoken)

Our Benefits:

• Benefits (upon permanent hire):
• Competitive salary with annual bonus opportunities
• Flexible working hours and hybrid/remote work options
• Generous holiday and paid time off policy
• Access to internal learning platforms and professional development programs
• Discounted mobile, internet, and TV plans
• Modern office space in central Zurich with subsidized meals and snacks
• Collaborative and diverse work environment with regular team events

We convinced you?
Then send us your complete application documents (CV, references, diplomas) stating the reference number A202550741 via email or alternatively use the online application form on our website.

Questions?

univativ Schweiz AG

Herr Mike Hoese, HR-Assistant

Mobil: 078 240 17 87

E-Mail: Write an email

www.univativ.ch

univativ Schweiz AG

Herr Mike Hoese

Teamlead presales / HR-Assistant

078 240 17 87

Write an email