Data Quality Analyst

In4Matic; Oost-Vlaanderen; Sur place; EUR 55 000 - 75 000; Plein temps

Résumé du poste

In4Matic is seeking a Senior Data Analyst to drive the data quality initiative during a transition from legacy systems to a new ERP platform within logistics operations. You will collaborate with business stakeholders, the IT department, and external implementation partners to ensure data quality and build automated validation tools.

You will create dashboards, perform data profiling, and support stakeholders in expanding their knowledge throughout the transformation.

Qualifications

• Solid understanding of data governance principles.
• 3+ years of experience as a Data Analyst.
• Experience with SAP ERP modules related to supply chain or logistics (MM/PP/SD/ECC/...).
• Strong SQL skills for data querying.
• Experience with data visualization tools for dashboards and reporting.
• Python is a plus.

Responsabilités

• Promote cross-functional alignment by working with data stewards, business owners, and IT leaders to establish consistent data quality rules, standards, and metrics.
• Conduct root cause analyses to understand drivers of data quality issues across the application landscape.
• Document findings, quantify the business impact of data quality problems, and work with stakeholders to translate insights into actionable improvement plans.
• Analyse relevant datasets to address specific business questions or challenges.
• Perform data profiling on critical datasets to identify anomalies, inconsistencies, and redundancies.
• Develop tools to automate data quality checks for the systems within the scope of the transformation.
• Create dashboards and reports that provide ongoing visibility into data quality and overall data health.
• Support business teams in improving data creation and maintenance processes at the source, fostering a proactive data quality mindset.

Connaissances

Strong stakeholder management

Strong analytical skills

Continuous improvement mindset

Outils

SQL

Python

SAP ERP

Description du poste

As a Senior Data Analyst, you will play a key role in the transition from legacy systems to a new ERP platform within the logistics operations of the organisation. You will collaborate closely with business stakeholders, the IT department, and external implementation partners to ensure high data quality, develop automated data validation tools, and support stakeholders in expanding their knowledge and capabilities throughout the transformation.

Main Responsibilities

• Promote cross-functional alignment by working with data stewards, business owners, and IT leaders to establish consistent data quality rules, standards, and metrics
• Conduct root cause analyses to understand drivers of data quality issues across the application landscape
• Document findings, quantify the business impact of data quality problems, and work with stakeholders to translate insights into actionable improvement plans
• Analyse relevant datasets to address specific business questions or challenges
• Perform data profiling on critical datasets to identify anomalies, inconsistencies, and redundancies
• Develop tools to automate data quality checks for the systems within the scope of the transformation
• Create dashboards and reports that provide ongoing visibility into data quality and overall data health
• Support business teams in improving data creation and maintenance processes at the source, fostering a proactive data quality mindset

Capabilities

• Strong stakeholder management skills, with the ability to translate analyses into clear, actionable insights for diverse audiences
• Strong analytical skills and ability to interpret complex datasets
• Continuous improvement mindset: curious, persistent, and proactive in identifying opportunities to enhance data processes

Qualifications

• Solid understanding of data governance principles
• Proven experience (3+ years) as a Data Analyst
• Experience with SAP ERP modules related to supply chain or logistics (MM/PP/SD/ECC/...)
• Strong SQL skills for data querying
• Experience with data visualisation tools for dashboards and reporting
• Experience with data science tools such as Python is a plus

Contactperson & Reference

• Reference #: INCA28014
• Jeroen Van Hoecke
• [e-mail]