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DATA QUALITY
• Lead Data Quality Initiatives – Drive data profiling, cleansing, and enrichment to support Global Supply Chain objectives.
• Define & Maintain Data Quality Standards – Establish rules, thresholds, and metrics for critical business data.
• Collaborate with Stakeholders – Work with data stewards, analysts, SMEs, and data owners to develop and sustain data quality frameworks.
• Enhance Data Quality Framework – Expand in-house capabilities by integrating advanced data quality solutions into data platforms.
• Deliver Data Quality Solutions – Provide dashboards and tools to measure and manage business-critical data.
• Implement Data Governance Controls – Co-lead governance initiatives alongside the Data Governance Lead.
• Ensure Data Compliance & Risk Management – Mitigate risks, conduct assessments, and ensure adherence to regulations like GDPR and CCPA.
• Optimize Metadata Management – Maintain metadata integrity, identify gaps, and consolidate critical data elements.
• Conduct Data Issue Analysis – Perform root cause analysis (RCA) and recommend solutions for data concerns.
• Drive Governance & Best Practices – Define governance structures, policies, and processes while supporting
data stewards and governance committees.
What We Are Looking For
• 6 – 8 years of work experience
• At least 4 years of experience working in data quality and governance
• Subject matter expertise on data management policy, Issue Management & Resolution and knowledgeable with data-related policies and standards
• Advanced experience in data analysis, business requirement gathering, dashboarding and reporting, preferably with Microsoft Azure, SQL, Python, Power BI and Tableau.
• Strong IT literacy with experience in SAP ERP Systems
• Project experience as either project lead or core project team member.
• Results driven with strong ownership and accountability.
• Ability to analyze problems as well as propose and implement own solutions.
• Strong organizational skills and attention to detail, with an aptitude for planning and prioritization.
• Ability to work autonomously and handle multiple projects and tasks in parallel.
• Ability to translate complex situations into simple working solutions.
• Strong team player with ability to build effective partnering relationships.
• Proactive, energetic, and enthusiastic approach
Desired Qualifications
• Advanced proficiency with Python
• Experience with SAP S/4 Hana
• CDMA certification
Data Analysts
Data Scientist
Business Analysts
Technical Specialists
Data Engineer
Data Engineer - 6 years
Data Quality - 4 years
Data Analysis - 4 years
Azure - 4 years
SQL - 4 years
Python - 3 years
Power BI - 3 years
Tableau - 3 years
SAP ERP - 3 years
Requirement Gathering - 4 years
SAP HANA - 3 years