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.
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 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.
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