Data Governance Consultant

Stack

Responsibilities

• ▹Build and implement data governance and data cataloging solutions in tools like Collibra, Dawiso, Ataccama, Alteryx and Confluence
• ▹Work on BI and data analytics projects with a focus on data management, data governance and data quality
• ▹Gather business requirements and translate them into concrete solutions, processes and designs
• ▹Be the bridge between business and IT, communicating with analysts, management and technical teams with equal ease
• ▹Run end-user trainings and make sure people actually understand and use what you build
• ▹Contribute to knowledge sharing through internal sessions, webinars and tech talks

Requirements

• ▹Solid BI background and a good understanding of data governance or data management principles
• ▹Experience with data governance frameworks or visualization tools
• ▹Confident communicating with both technical and business stakeholders
• ▹Hands-on, proactive approach: you take ownership and follow through
• ▹Drive to deliver quality work that genuinely meets client needs
• ▹Willingness to keep learning: new tools, new domains, new certifications
• ▹Business consulting background or understanding of internal business processes
• ▹Fluent Czech and English on a professional level

Soft skills

What we offer

• ▹International projects using cutting-edge data tools
• ▹Extra 10 days of leave
• ▹Multisport card
• ▹Generous annual learning budget
• ▹Open bonus structure
• ▹Local and international knowledge sharing sessions
• ▹Hybrid flexibility: regularly in the Prague office (around 2-3 days a week), free to choose what works best beyond that
• ▹AI-friendly by default: experimenting with new tools and treating AI as a genuine work partner
• ▹Collaborative culture: real teamwork, support, knowledge sharing, flexibility
• ▹Continuous learning and development
• ▹A diverse, global team of friendly data professionals

About the company

Billigence is a global Business Intelligence, Data Analytics and AI consultancy offering services in data governance, cloud architecture, data engineering and data insights.