DACH Junior Consultant Data Analytics (m/w/d)

Role overview

Quistor is hiring a Junior Consultant for Data Analytics with a strong focus on Oracle Business Analytics and Enterprise Performance Management. The position is based in Münster, North Rhine-Westphalia, Germany, and is designed for someone who wants to turn growing data volumes into actionable business insight.

In this role, you will work with customer data needs, design suitable analytical data models, ensure efficient data storage, and provide reliable query and analysis capabilities. The work spans reporting, dashboards, data migration, ETL processes, and the use of Oracle as well as complementary open-source and competitive tools where appropriate.

What you'll do

• Translate customer information needs into analytical solutions aligned with business, technical, or scientific goals, and clarify the available data landscape through profiling.
• Develop conceptual data models that organize information in a business-meaningful way, then implement them using Oracle database technologies and, when needed, relational, multidimensional, hybrid, or NoSQL structures.
• Work with Oracle databases, data warehouses, and data marts on-premises and increasingly in autonomous cloud environments; build performance management applications with Oracle Essbase and use open-source tools where useful.
• Design reporting and analytics applications, as well as dashboards, in close collaboration with clients using the full Oracle analytics portfolio, client-provided competitor tools, and open-source solutions.
• Support data migration by profiling source data, shaping the ETL concept, implementing extraction, transformation, and loading workflows, automating processes, and adding appropriate validation checks.

Requirements

The role calls for a completed degree in computer science, business informatics, information management, or industrial engineering with an IT focus. Practical experience is ideal, but the position is described for a junior profile.

• Knowledge of data management system architecture and usage
• Ability to model data, business processes, and business rules conceptually
• Understanding of logical and physical database design
• Experience with data warehousing and OLAP modeling, including star and snowflake schemas
• Familiarity with monitoring and online analytics such as reports, dashboards, and alerting systems for web and mobile platforms
• Additional strengths in modern data visualization methods and technologies
• Interest in agile data warehouse modeling approaches such as Data Vault
• Exposure to Oracle Analytics Cloud
• Exposure to Oracle Enterprise Performance Management Cloud
• Experience with business intelligence databases and applications in areas such as object-relational and in-memory systems, multidimensional Essbase environments, or big data stacks like NoSQL, Hadoop, and Spark
• Responsible use of digital technologies and AI with a focus on creating sustainable and humane user experiences
• Strong communication skills, abstraction and structuring ability, careful documentation habits, and good German and English skills
• Willingness to travel for project work within Germany and abroad

Benefits

• Attractive career growth opportunities and a competitive salary
• Personal coaching and medium-term support from an experienced consultant during the early phase of the role
• A dynamic, innovative environment with locations in Karlsruhe (Ettlingen), Hamburg, Münster, Vienna (AT), Zurich (CH), and Zagreb (HR)
• Ongoing training and professional development
• Opportunity to contribute to technically engaging and challenging projects
• A chance to bring early experience and industry knowledge into work with different clients and assignments
• Preparation to lead your own projects within three years and the opportunity to engage deeply with current digital transformation topics

Additional information

This role centers on Oracle Business Analytics and Enterprise Performance Management. It involves working in a field where data growth, data variety, predictive analytics, and AI/ML are used to derive business knowledge and future-oriented insight from enterprise data.