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Honeywell logo

Advanced Data Analyst

Honeywell
Posted 40 minutes ago
🇮🇳India🏢Hybrid📁Data & Analytics
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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 PT’s 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 Bachelor's 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.

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