The Role
Design, develop, and support analytics solutions including dashboards, reports, and data models. Clean and transform data, ensure data quality and governance, partner with stakeholders to gather requirements, apply AI prompting/tools to accelerate delivery, and implement process and change improvements for scalable, production-ready analytics.
Summary Generated by Built In
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.
ResponsibilitiesExperience:
- 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 practicesAbout 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.
Skills Required
- Strong experience in data analytics, reporting, or BI development
- Experience working in a GBS/shared services environment
- Proven track record of delivering end-to-end analytics solutions
- Bachelor's or Master's Degree in Data Analytics, Computer Science, Engineering, or related
- Strong SQL skills
- Power BI development experience
- Familiarity with AI tools and AI prompting for analytics automation
- Data modeling techniques and experience building analytical models
- Data transformation and data warehousing understanding
- Data quality, validation methods, and governance frameworks
- Stakeholder management, requirements gathering, and communication skills
- Process improvement and workflow optimization experience
- Change management support and adoption practices
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The Company
