Advanced Data Analyst

Honeywell International, Inc.; Pune District; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

Honeywell International, Inc. is seeking an Advanced Data Analyst to drive enterprise data quality, governance and analytics across PT lines of business and geographies, enabling analytics-driven decisions and performance improvements.

The role focuses on master and transactional data quality, supporting Quote-to-Cash, Plan-to-Produce, Source-to-Pay, and Record-to-Report processes, while collaborating with Commercial, Finance, ISC, Engineering, and IT leadership.

Qualifications

• Bachelor's degree required.
• 5+ years in data management, governance, analytics, or SAP/SFDC/Ecom/PIM data domains.
• 3+ years with SAP ECC/S/4 HANA, Master Data Governance, Data Migration, Informatica, Collibra, and data quality.
• Solid understanding of metadata, 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.

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 with functional leadership to identify insights and drive strategies that improve data quality, process efficiency, and KPIs.
• Design and implement data quality metrics, scorecards, and performance indicators linked to business outcomes.
• Collaborate with Data Quality COE, Master Data teams, Engineering, and IT to expand trusted data availability and improve system integration.
• Drive data discovery, profiling, and root cause analysis to identify systemic data issues and define cleansing and automation requirements.
• Perform advanced analysis across ERP systems (SAP ECC / S/4 HANA) to identify data gaps and optimization opportunities.
• Communicate complex data insights to leadership and stakeholders to influence decision-making.
• Define, document, and harmonize data quality standards, governance policies, and control frameworks.
• Solve complex problems involving data architecture, process integration, and governance strategy with ongoing improvements.
• Develop scalable processes and tools for data cleansing, enrichment, governance, and monitoring across domains.
• Engage in MOS and governance forums to drive accountability and data quality maturity.
• Support enterprise transformation programs, including S/4 HANA data workstreams (data readiness, cleansing, migration, validation, governance).
• Enable integration across systems of record and downstream platforms including analytics and digital customer experience solutions.
• Work independently with ownership while leading cross-functional initiatives and influencing stakeholders at multiple levels.

Skills

Data governance

Data analytics

Cross-functional collaboration

Communication

Problem solving

Education

Bachelor's Degree

Tools

SAP ECC / S/4 HANA

Informatica

Collibra

Power BI

SQL

Python

Job description

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.

Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.