Advanced Data Analyst

The Role: The Advanced Data Analyst will work across all PT lines of business and geographies to drive enterprise data quality governance and analytics initiatives supporting PTs Digital Transformation including S/4 HANA digital customer experience and enterprise analytics.

The role will focus on improving master and transactional data quality enabling efficient business processes across Quote-to-Cash Plan-to-Produce Source-to-Pay and Record-to-Report while driving measurable business outcomes and operational excellence.

You will play a key role in defining data strategies leading cross-functional data workstreams and enabling analytics-driven decision-making across PT.

Primary Responsibilities

• Advocate and champion data-driven approaches in process improvement initiatives by leading data governance and analytics workstreams presenting insights to leadership and driving execution across cross-functional teams.
• Partner closely with functional leadership (Commercial Finance ISC Engineering IT) to identify insights and drive strategies that improve transactional and master data quality process efficiency and business KPIs.
• Design and implement data quality metrics scorecards and performance indicators linking data health to business outcomes and monitoring them through structured operating cadence (MOS).
• Collaborate with the Data Quality COE Master Data teams Engineering and IT to expand availability of trusted data automate recurring data processes and improve system integration.
• Drive data discovery profiling and root cause analysis to identify systemic data issues and define requirements for data cleansing automation and process improvements.
• Perform advanced analysis across ERP systems (SAP ECC / S/4 HANA) to identify data inconsistencies process gaps and opportunities for optimization.
• Communicate complex or sensitive data insights effectively to leadership and stakeholders influencing decision-making and driving alignment across functions.
• Define document and harmonize data quality standards governance policies business rules approval workflows and control frameworks to ensure sustained data quality.
• Solve complex problems involving data architecture process integration and governance strategy providing thought leadership and continuous improvement recommendations.
• Develop scalable processes templates and tools for data cleansing enrichment governance and monitoring across domains (Customer Vendor Material Finance).
• Engage in MOS and governance forums to drive accountability ensure adherence to corporate data standards and continuously improve data quality maturity.
• Support enterprise transformation programs including S/4 HANA data workstreams (data readiness cleansing migration validation and governance).
• Enable integration across systems of record and downstream platforms including analytics eCommerce and digital customer experience solutions.
• Work independently with a high degree of ownership while leading cross-functional initiatives and influencing stakeholders at multiple organizational levels.

Role Requirements

• Bachelors Degree
• 5 Years of experience in Data Management Data Governance Analytics or SAP/SFDC/Ecom/PIM Data domains
• 3 Years of Experience working with SAP ECC / S/4 HANA Master Data Governance Data Migration Informatica Collibra and Data Quality Management
• Solid understanding of data governance concepts including metadata management data architecture data modeling data integration data Lineage and data lifecycle management.
• Familiarity with analytics and reporting tools (Power BI SQL Python or equivalent) preferred

We Value

• Excellent communication presentation problem solving and interpersonal communication skills.
• Highly proficient in Microsoft office; Outlook Excel Word PowerPoint
• Strong business acumen with data-mining mindset to drive value from investments.
• Ability to collaborate with and influence across many interpersonal levels up to executives.
• Excellent communication skills combined with the ability to navigate a highly matrixed organization.
• Self-starter with high ownership able to work independently and manage multiple priorities
• Adept in critical thinking and understanding of business processes technology systems and tools.
• Demonstrated initiative and resourcefulness; Self-starter with the ability to work independently.
• Proactive detail-oriented with high regard for quality and consistency of communication and able to present concise plans and ideas to executive level in a diverse work environment.