Business Intelligence Analyst (f/m/d)

LGT Private Banking; Zürich; Vor Ort; CHF 110.000 - 140.000; Vollzeit

Benefits dieser Stelle

Flexible work models

Sabbatical

At least 25 days annual leave

Parental leave options

Childcare support

Health and wellbeing program

Zusammenfassung

LGT Private Banking is seeking a Business Intelligence Analyst to develop and maintain BI dashboards and reports. You will collaborate with multiple units to translate business needs into technical solutions, and ensure data quality for reliable analytics.

Applicants should have a degree in Data Analytics or related field, plus experience with Power BI, MS Fabric, Python and SQL. German and English fluency is required, with a strong independent work style.

Qualifikationen

• Bachelor’s or master’s degree in Data Analytics, Business Information Technology or a related field.
• Professional experience in business intelligence and database management, including analyses, dashboards and reports.
• In-depth know-how of Microsoft Fabric and Power BI including development with DAX and Power Query M.
• Experience with Python and SQL.
• Understanding of data modelling concepts and data quality principles.
• Experience or interest in financial services, portfolio management or financial analysis.
• Independent, efficient and accurate work style.
• Fluency in German and English.

Aufgaben

• Develop, enhance and maintain BI dashboards and reports using Power BI.
• Collaborate with business units to gather reporting requirements and translate needs into solutions.
• Develop and maintain data models using Python and MS Fabric for reliable data for reporting and analytics.
• Be the trusted data and reporting contact within Investment Solutions Europe.
• Collaborate cross-functionally to improve data processes and reporting standards.
• Support management with insightful analysis and key metrics.

Kenntnisse

Power BI

Python

SQL

Data modeling

German language

English language

Ausbildung

Bachelor's or master's in Data Analytics

Tools

MS Fabric

Power Query M

DAX

Jobbeschreibung

About Us

LGT is the world’s largest family-owned and managed Private Banking and Asset Management Group. For more than 100 years it has been fully owned and managed by the Princely House of Liechtenstein, which is also one of our biggest clients.

About Us

LGT is the world’s largest family-owned and managed Private Banking and Asset Management Group. For more than 100 years it has been fully owned and managed by the Princely House of Liechtenstein, which is also one of our biggest clients.

With around 800 employees, LGT Bank Switzerland has established itself as a renowned Swiss private bank and is an excellent address for both wealthy private clients and employees - this was also confirmed last year by the independent institute "Great Place To Work", which awarded LGT Bank Switzerland the title of one of the best employers in Switzerland.

Your challenge

As a Business Intelligence Analyst, you are responsible for the data analysis and the development of management information reports to support operational and strategic decisions for Investment Solutions Europe.

The Area Of Responsibility Includes The Following Tasks

• Develop, enhance and maintain business intelligence dashboards and reports using Microsoft Power BI.
• Collaborate with business units to gather reporting requirements and translate business needs into technical solutions.
• Develop and maintain data models using Python and MS Fabric to ensure consistent, reliable data availability for reporting and advanced analytics.
• Act as a trusted point of contact for data and reporting-related topics within Investment Solutions Europe.
• Cross-functional collaborate with stakeholders to enhance data processes, reporting standards, and analytical capabilities.
• Support management and business units through insightful analysis, key metrics, and business reports.
• Ensure and continuously improve data quality and consistency.
• Support distribution activities and further growth through market analysis.

Your profile

• Bachelor’s or master’s degree in Data Analytics, Business Information Technology or a related field.
• Professional experience in business intelligence and database management, including the creation of analyses, dashboards, and reports.
• In-depth know-how of Microsoft Fabric, and Power BI applications including development using DAX and Power Query M.
• Experience with programming languages and tools such as Python and SQL.
• Understanding of data modelling concepts and data quality principles.
• Experience or interest in the financial services industry, particularly in portfolio management, investment advisory, or financial analysis.
• You work independently, efficiently, and accurately.
• Fluency in German and English.

Please note that we cannot consider applications via recruitment agencies for this position.

Benefits at LGT

A great place to work – a great place to have impact: LGT promotes diversity among its employees. We believe that an inclusive and appreciative corporate culture is the driver for a great workplace and provides the opportunity to create a unique and successful team. That's why our employees can also benefit from many additional benefits.

Family & Work

• Various flexible work models
• Sabbatical
• At least 25 days annual leave, depending on age
• Special paid leave options
• Maternity and paternity leave, options for further parental leave
• Additional childcare contribution for paid external care of children up to 12 years old

Your Health

• Employee health and wellbeing program
• Subsidized classes (yoga, fitness)
• Healthy meal options
• Fresh fruit supplied daily

Growing Together

• Internal courses
• External courses offered by the Liechtenstein Academy
• Support for external training and further education
• Coaching and mentoring programs
• International assignments
• Intrapreneurship program

Perks & Advantages

• Discounts on LGT banking products and services
• LGT co-investments
• Discounts on health and property insurance
• Pension plan with individualized options
• Various mobility/e-mobility initiatives
• Recognition of major life events