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Honeywell Technologies in India is seeking an Advanced Data Analyst responsible for delivering high-quality analytics solutions to enable data-driven decision-making across the organization. This role requires strong technical expertise, business understanding, and collaboration with stakeholders to design, support, and develop dashboards and reports.
Candidates should have a Bachelor’s or Master’s degree in Data Analytics, Computer Science, Engineering, or a related discipline, along with proven analytics experience and proficiency with SQL and Power BI. The position promotes a data-driven culture and supports transformation initiatives.
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 analyst acts as a trusted analytics partner, ensuring solutions are aligned with business objectives, governed by strong data quality standards, and remain stable and scalable after deployment.
Advanced Data Analyst
AI Prompting – Proficient – Leverage AI to accelerate development and ensure high‑quality, end‑to‑end delivery from development to deployment; familiarity with AI tools for analytics automation and solution development.
Data Analysis & Modeling – Proficient – Analyze and interpret data, generate insights, and support data‑driven decision‑making; strong SQL and data modeling techniques.
Data Visualization & Reporting – Proficient – Develop dashboards and reports that effectively communicate business insights; proficient with Power BI.
Data Engineering & Transformation – Proficient – Prepare, clean, and transform data for analytics; build scalable datasets using data transformation techniques and understanding of data warehousing.
Data Quality & Governance – Proficient – Ensure accuracy, consistency, and reliability of data through validation and governance practices; knowledge of data validation methods and data quality frameworks.
Stakeholder Management – Proficient – Engage stakeholders, gather requirements, and ensure alignment on deliverables and outcomes; strong communication and requirement‑gathering skills.
Process Improvement – Proficient – Identify inefficiencies and implement improvements to enhance analytics delivery; knowledge of process optimization approaches and workflow tools.
Change Management – Intermediate – Support adoption of new solutions through stakeholder coordination and communication; track change and communicate practices.