Product Data Quality & Analytics Specialist

VELUX; Østbirk; Hybrid; DKK 650,000 - 900,000; Full time

Benefits offered by this job

Hybrid work up to 2 days/week

Job summary

VELUX is seeking a Product Data & Analytics Specialist to improve product data quality, governance, and analytics across Product & Innovation. You will design automated data quality rules, profile data, and build AI-enabled analytics while collaborating across business and technology to deliver scalable solutions.

You will translate business rules into actionable quality controls, develop Power BI dashboards, and support strategic initiatives with data-driven insights.

Qualifications

• Experience with data quality, data engineering, analytics, and master data.
• Structured, methodical approach; curiosity about why data issues occur.
• Ability to turn ambiguous problems into measurable, automated solutions.

Responsibilities

• Design and implement automated data quality rules for product data.
• Profile data, detect anomalies, and use AI to prioritize improvements.
• Build reusable validation frameworks across source systems and Snowflake.
• Define KPIs, scorecards, and Power BI dashboards showing quality.
• Provide dashboards and analytics to support strategic initiatives.
• Map product data flows and simplify models; reduce complexity.
• Translate business rules into executable quality controls with stakeholders.

Skills

SQL

Data quality

Analytics

Python

Power BI

DAX

Data modelling

Communication

Education

Bachelor's degree in a relevant field

Tools

Snowflake

ERP systems

APIs

ETL/ELT

SAP

Windchill PLM

Job description

VELUX is seeking a Product Data & Analytics Specialist to improve product data quality, governance, and analytics across Product & Innovation. You will design automated data quality rules, profile data, and build AI-enabled analytics while collaborating across business and technology to deliver scalable solutions.

You will translate business rules into actionable quality controls, develop Power BI dashboards, and support strategic initiatives with data-driven insights.