Advanced Data Analyst

Posted One Month Ago
Be an Early Applicant
3 Locations
Hybrid
Senior level
Aerospace • Security • Energy • Industrial
The Role
Lead enterprise data governance, quality, and analytics initiatives across business functions and geographies. Define data strategies, run data discovery and root-cause analysis, implement data quality metrics and remediation, support S/4 HANA migrations, and enable trusted data for analytics and digital platforms while influencing cross-functional stakeholders and driving measurable process and data improvements.
Summary Generated by Built In

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.

Responsibilities

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.
Qualifications

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. 
About UsHoneywell 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.

Skills Required

  • 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)
  • Excellent communication, presentation, problem solving, and interpersonal 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
  • Self-starter with high ownership, able to work independently and manage multiple priorities

Honeywell Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.

  • Retirement Support Retirement benefits are anchored by a strong 401(k) match with clear vesting and annual funding mechanics. Plan administration and education resources further reinforce long‑term savings support.
  • Leave & Time Off Breadth Time away provisions include company holidays, flexible vacation for many exempt roles, and paid sick time. These policies contribute meaningful breadth beyond base pay.
  • Parental & Family Support Paid parental leave is available to all parents with flexible usage options, and certain family‑building supports are included. Birth mothers can coordinate leave with short‑term disability for extended coverage.

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The Company
HQ: Charlotte, NC
110,269 Employees
Year Founded: 1906

What We Do

Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.

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