BI Senior Consultant (m/w/d) – PowerBI at Woodmark Group GmbH | BE, DE | Rezi

BI Senior Consultant (m/w/d) – PowerBI at Woodmark Group GmbH

BI Senior Consultant (m/w/d) – PowerBI

Woodmark Group GmbH · BE, DE

2 weeks ago

BI Senior Consultant (m/w/d) – PowerBI

Woodmark Group GmbH · BE, DE

19 days ago
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About the Role

We make the world better with data. Woodmark Consulting GmbH is a leading German IT consulting firm for AI, Data & Analytics. We inspire people with our passion for data & innovation. Living our values of respect, openness, trust, and care ensures an excellent corporate culture and is the basis of our success. Use your passion for data & innovation to unlock its potential with us. Together, we create added value for customers, society, and the environment.

Responsibilities

  • Create and maintain high-performance data models based on customer requirements.
  • Develop efficient DAX formulas and calculations for optimal performance and analysis.
  • Design and implement modular data models ensuring high data quality and integrity.
  • Optimize loading times and performance in Power BI dashboards and reports.
  • Design, develop, and optimize high-performance data pipelines for efficient, scalable, and secure data processing from various sources.
  • Integrate different data sources and formats (relational, JSON, XML) for seamless analysis.
  • Develop data sources and data pipelines independently within a DevOps team to ensure effective data delivery for use cases and their utilization.
  • Maintain intensive communication with clients for professional expectation management and satisfaction.
  • Collaborate with project teams to ensure project success.
  • Engage with the Woodmark team to foster knowledge exchange and mutual support.

Requirements

  • At least three years of experience in developing data models, data pipelines, and analytical solutions.
  • Proficiency in the Microsoft Power Platform, specifically Power BI (including DAX & Power Query), Power Automate & Power Apps.
  • Experience in implementing analytical data models (e.g., Data Vault 2.0) with SQL, dbt Core, or Python.
  • Experience with data protection and security policies and adherence to best practices.
  • Knowledge of working with various data structures and storage formats (3NF, Data Vault, Star Schema).
  • Experience collaborating with stakeholders at various levels.
  • Willingness to support other Woodmark employees with your experience.
  • Very good German and English language skills.

Skills

  • Data Modeling
  • DAX Optimization
  • Data Quality
  • Performance Optimization
  • Data Pipelines
  • Data Integration
  • DevOps
  • Microsoft Power Platform
  • Power BI
  • DAX
  • Power Query
  • Power Automate
  • Power Apps
  • SQL
  • dbt Core
  • Python
  • Data Vault 2.0
  • 3NF
  • Star Schema
  • Stakeholder Management
  • German Language
  • English Language

Location

  • Remote

Work Type

  • Full-time

Experience Level

  • Minimum 3 years of experience

Benefits

  • Flexible working hours
  • Modern technology
  • Participation in success
  • Udemy for unlimited further education
  • Health promotion
  • Fitness and yoga studio sponsorship
  • Company events and celebrations
  • Market-competitive salaries
  • Company pension plan
  • Various additional benefits
  • Special and social benefits
  • Climate-neutral work
  • Attractive (electric) company car model
  • Job bike model

About the Company

  • Woodmark Consulting GmbH is a leading German IT consulting firm for AI, Data & Analytics.
  • We inspire people with our passion for data & innovation.
  • Living our values of respect, openness, trust, and care ensures an excellent corporate culture and is the basis of our success.

Equal Opportunity

  • We value the diversity of our employees as a great asset. It contributes to a positive work environment and particularly promotes creative ideas, innovations, and solutions for the challenges of the future.
  • Woodmark expressly welcomes applications from all individuals – regardless of social background, sexual orientation, age, ethnic origin, nationality, gender, gender identity, disability, religion and worldview, or other characteristics.