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Advanced Data Analyst

26 days ago 2026/11/20 ·Application closes in 115 days
Other Business Support Services
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Job description

Job Title: Advanced Data Analyst 


Role Purpose: 


The Advanced Data Analyst is responsible for delivering high-quality analytics solutions that enable data-driven decision-making across the organization. This role combines technical expertise, business understanding, and stakeholder collaboration to design, develop, and support dashboards, reports, and data models. The role acts as a trusted analytics partner, ensuring solutions are aligned with business objectives, governed by strong data quality standards, and remain stable and scalable post deployment.



Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
Responsibilities:

Experience:


  • Strong experience in data analytics, reporting, or BI development
  • Experience working in a GBS/shared services environment is preferred
  • Proven track record of delivering end-to-end analytics solutions

Education:


  • Bachelor’s or Master’s Degree in Data Analytics, Computer Science, Engineering, or a related discipline

Key Responsibilities and Skills:


Core SkillProficiency LevelKey ResponsibilitiesTechnical Skills
AI PromptingProficientLeverage AI to accelerate development and ensure high-quality, end-to-end delivery from development to deploymentFamiliarity with AI tools for analytics automation and solution development
Data Analysis & ModelingProficientAnalyze and interpret data, generate insights, and support data-driven decision-makingStrong SQL, data modeling techniques
Data Visualization & ReportingProficientDevelop dashboards and reports to effectively communicate business insightsPower BI
Data Engineering & TransformationProficientPrepare, clean, and transform data for analytics; build scalable datasetsData transformation techniques, understanding of data warehousing
Data Quality & GovernanceProficientEnsure accuracy, consistency, and reliability of data through validation and governance practicesData validation methods; data quality frameworks
Stakeholder ManagementProficientEngage stakeholders, gather requirements, and ensure alignment on deliverables and outcomesCommunication and requirement-gathering tools/methods
Process ImprovementProficientIdentify inefficiencies and implement improvements to enhance analytics deliveryProcess optimization approaches, workflow tools
Change ManagementIntermediateSupport adoption of new solutions through stakeholder coordination and communicationChange tracking and communication practices
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