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Honeywell

Advanced Data Analyst

Reposted 7 Days Ago
Remote or Hybrid
Hiring Remotely in India
Mid level
Remote or Hybrid
Hiring Remotely in India
Mid level
Design, develop, and support analytics solutions, dashboards, reports, and data models. Prepare and transform data, ensure data quality and governance, collaborate with stakeholders, leverage AI to accelerate delivery, and drive process improvements to enable data-driven decisions.
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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.

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 SkillsAI 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 developmentData Analysis & ModelingProficientAnalyze and interpret data, generate insights, and support data-driven decision-makingStrong SQL, data modeling techniquesData Visualization & ReportingProficientDevelop dashboards and reports to effectively communicate business insightsPower BIData Engineering & TransformationProficientPrepare, clean, and transform data for analytics; build scalable datasetsData transformation techniques, understanding of data warehousingData Quality & GovernanceProficientEnsure accuracy, consistency, and reliability of data through validation and governance practicesData validation methods; data quality frameworksStakeholder ManagementProficientEngage stakeholders, gather requirements, and ensure alignment on deliverables and outcomesCommunication and requirement-gathering tools/methodsProcess ImprovementProficientIdentify inefficiencies and implement improvements to enhance analytics deliveryProcess optimization approaches, workflow toolsChange ManagementIntermediateSupport adoption of new solutions through stakeholder coordination and communicationChange tracking and communication practices
About UsHoneywell 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.

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