Global Products & Solutions Junior Data Visualisation Analyst, 100% (f/m/d)

Bank Julius Bär & Co. Ltd.; Zürich; Vor Ort; CHF 90.000 - 115.000; Vollzeit

Zusammenfassung

Julius Baer, the leading Swiss wealth management group headquartered in Zurich, seeks a Junior Data Visualisation Analyst to support analytics use cases from scoping to deployment. You will work with front office teams, business managers, data engineers and modelers to deliver high-quality outputs with measurable business impact.

Based in Zurich, you will design and maintain Tableau dashboards, ensure data quality, and contribute to reporting improvements while collaborating across a global team

Qualifikationen

• 2+ years of experience in data analytics, business intelligence, or a related field.
• Strong knowledge of Tableau or a similar BI and visualisation platform.
• Knowledge in financial services or wealth management is a plus.
• Relevant higher educational and professional background in data science, analytics, engineering, finance, or economics.

Aufgaben

• Translate business needs into data-driven insights and recommendations.
• Source, prepare, validate and analyse data from multiple systems using SQL, Python and Dataiku.
• Collaborate with data engineering and modelling teams to ensure data quality and effective reporting.
• Design, maintain and enhance Tableau dashboards and reports, applying data visualisation best practices.
• Partner with business stakeholders to understand reporting requirements and communicate findings clearly.
• Contribute to continuous improvement of data processes and cross-functional collaboration.

Kenntnisse

Analytical skills

English fluency

Curiosity

Ausbildung

Bachelor's or Master's in Data Science/Analytics/Engineering/Finance/Economics

Tools

SQL

Python

Dataiku

Tableau

Jobbeschreibung

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

The Junior Data Visualisation Analyst is a key member of the Analytics & Visualisation team within the Global Products & Solutions (GPS) organisation and is responsible for providing business support. In this capacity, the primary responsibilities involve partnering with business stakeholders including front office teams and business managers, as well as with technical counterparts in data engineering and data modelling. You will take ownership of analytics use cases from scoping to deployment, ensuring high quality outputs and measurable business impact. The Junior Data Visualisation Analyst reports to Head of GPS analytics & Visualisation.

YOUR CHALLENGE

• Support the delivery of analytics use cases by translating business needs into data-driven insights and recommendations
• Source, prepare, validate and analyse data from multiple systems using tools such as SQL, Python and Dataiku
• Collaborate with data engineering and modelling teams to ensure data quality, consistency and effective reporting
• Design, maintain and enhance Tableau dashboards and reports, applying data visualisation best practices
• Partner with business stakeholders to understand reporting and analytics requirements, and communicate findings clearly and effectively
• Contribute to continuous improvement of data processes, reporting capabilities and cross-functional collaboration between business and technology teams

YOUR PROFILE

Personal & social

• Strong analytical and problem-solving skills
• Curiosity and willingness to learn new tools and business domains
• Strong attention to detail and commitment to data quality
• Able to effectively manage internal and external stakeholders from diverse backgrounds

Professional & technical

• 2+ years of experience in data analytics, business intelligence, or a related field
• Strong knowledge of Tableau or a similar BI and visualisation platform
• Knowledge in financial services or wealth management is a plus
• Relevant higher educational and professional background (Bachelor or Master's degree in Data Science, Business Analytics, Engineering, Finance, Economics, or a related field)
• Understanding of data modelling concepts and analytical best practices
• Fluency in English

The international reference in wealth management Julius Baer is the leading Swiss wealth management group. We focus on servicing and advising sophisticated private clients from around the world, taking into account what truly matters to them - in their business and personal life, today and for future generations. Headquartered in Zurich, we are present in around 60 locations worldwide, including Bangkok, Dubai, Dublin, Frankfurt, Geneva, Hong Kong, London, Luxembourg, Madrid, Mexico City, Milan, Monaco, Mumbai, Santiago de Chile, Shanghai, Singapore, Tel Aviv, and Tokyo.

Why join Julius Baer?

At Julius Baer our employees enjoy the benefits of a global company with the support and collegiality of a much smaller one. We are growing quickly, but we remain dedicated to maintaining our accessible structure with flat hierarchies, and approachable and supportive leaders. With offices around the world, we offer an international and stimulating work environment and the opportunity to work with a diverse team of highly motivated colleagues, bringing the best of the bank to our clients. Our core values of Care, Passion, and Excellence define the tone of how we interact with each other and our partners. Committed to your success Whether nurturing young talent with our renowned apprentice scheme, enabling ambitious university graduates to put theory into practice with our Graduate Programme, or providing first-class opportunities for experienced professionals, we look after our employees. We believe in continuous learning as a company and as individuals, which is why we put a focus on the health and well-being of our employees and offer flexible working options, a wide array of benefits, and extensive career development programmes.

For more information visit www.juliusbaer.com or contact us via the Contact Form.