Internship Data Analytics
VP Bank AG
About the role
Internship Data Analytics (3 to 6 months) (m/w/d) Are you curious and eager to seize new opportunities? Do you go the extra mile and have an open, communicative personality with a strong customer and solution orientation? Then let's exceed our customers' expectations together and continue the success story of VP Bank. With us, you'll find space for bold ideas and the opportunity to actively shape the future. Internship Data Analytics (3 to 6 months) (m/w/d) Your Challenge Support the BI team in turning data into strategic recommendations and operational improvements Analyze business performance, identify trends, and generate insights for decision makers Conduct top-down analyses on market trends, KPIs, and business performance Perform ad-hoc deep-dive analyses to uncover root causes behind developments Build and enhance dashboards and reports to highlight trends, anomalies, and performance drivers Translate stakeholder needs into clear analytical tasks and communicate in-sights effectively Collaborate with front- and back-office teams across the organization Support the BI team with ad-hoc requests and ongoing analytical questions Your Profile Bachelor's or Master's student from a university or applied science program in computer science, data science, engineering, mathematics, economics - or equivalent practical experience (e.g., apprenticeship) Excellent written and spoken English skills Solid skills in the analytics toolkit (e.g., , NumPy, pandas; experience with ML frameworks like scikit-learn or TensorFlow is a plus) Familiarity with software engineering and databases ( 3, PostgreSQL or other major relational databases; Excel, Tableau or Power BI are advantageous) Strong analytical and critical thinking skills; ability to derive meaningful insights from complex datasets Clear and confident communication and storytelling skills for both technical and non-technical audiences Industry experience or basic understanding of banking is a plus We currently only accept direct applications and therefore ask recruitment consultancies to refrain from making enquiries. Your contact person Throughout your application process, you will be accompanied by Filiz Frommelt Young Talents Specialist Your benefits Our employees are our pride and joy. VP Bank considers it important to give something back and to contribute to the well-being of each and every individual. We strive to do this every day. VP Bank employees enjoy respectful and fair treatment and also receive a wide range of benefits. You can find out more about our benefits here: Your new working environment Founded in Liechtenstein in 1956, VP Bank has grown from a small family bank to the third largest bank in Liechtenstein and an internationally active company. With about 1,000 employees, we have the expertise and flexibility to offer our clients first-class solutions with a personal touch. jid3a636edjr jit0414jr jiy26jr
Requirements
- Bachelor's or Master's student from a university or applied science program in computer science, data science, engineering, mathematics, economics - or equivalent practical experience (e.g., apprenticeship)
- Excellent written and spoken English skills
- Solid skills in the analytics toolkit (e.g., , NumPy, pandas; experience with ML frameworks like scikit-learn or TensorFlow is a plus)
- Familiarity with software engineering and databases ( 3, PostgreSQL or other major relational databases; Excel, Tableau or Power BI are advantageous)
- Strong analytical and critical thinking skills; ability to derive meaningful insights from complex datasets
- Clear and confident communication and storytelling skills for both technical and non-technical audiences
- Industry experience or basic understanding of banking is a plus
Responsibilities
- Support the BI team in turning data into strategic recommendations and operational improvements
- Analyze business performance, identify trends, and generate insights for decision makers
- Conduct top-down analyses on market trends, KPIs, and business performance
- Perform ad-hoc deep-dive analyses to uncover root causes behind developments
- Build and enhance dashboards and reports to highlight trends, anomalies, and performance drivers
- Translate stakeholder needs into clear analytical tasks and communicate in-sights effectively
- Collaborate with front- and back-office teams across the organization
- Support the BI team with ad-hoc requests and ongoing analytical questions
Benefits
Skills
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