Data Analyst Role

Round 1: Online Aptitude Test (logical reasoning, quantitative, verbal) → Round 2: Technical Interview (SQL, Power BI, data modeling, AI prompting) → Round 3: HR Interview (cultural fit, communication, career aspirations)

CAES by Honeywell promotes a collaborative and inclusive environment where innovation is encouraged. Employees enjoy a balanced work‑life schedule with opportunities for continuous learning, mentorship, and clear growth pathways within the global Honeywell ecosystem.

The interview process at CAES by Honeywell typically starts with a timed online aptitude test, followed by a technical interview that probes SQL, Power BI, and data modeling abilities. The final HR round assesses cultural fit and communication skills. Candidates should practice real‑world analytics scenarios and be ready to discuss past projects or academic work.

Bachelor's or Master's degree in Data Analytics, Computer Science, Engineering or related discipline; Minimum 60% aggregate (or CGPA 6.0/10); Fresh graduates of 2026 batch; No active backlogs at the time of joining; Strong analytical mindset and willingness to learn.

Honeywell is a global technology leader that helps organizations solve some of the world’s most complex challenges in automation, aviation, energy transition, and industrial operations. Through its Honeywell Forge platform, the company delivers data‑driven, intelligent solutions that make businesses smarter, safer and more sustainable. CAES (Honeywell Connected Enterprise Solutions) is the arm that brings together analytics, cloud, and IoT capabilities to drive digital transformation across multiple industry verticals. With a strong focus on innovation, continuous learning, and a culture of collaboration, Honeywell consistently ranks among the top employers for engineers and data professionals in India. The role of Advanced Data Analyst at CAES by Honeywell is designed for fresh graduates who are eager to translate raw data into actionable insights that influence strategic decisions. As a trusted analytics partner, you will work closely with business units, GBS shared services, and technology teams to design, develop, and maintain dashboards, reports, and data models. You will leverage AI‑prompting tools to accelerate solution delivery, ensure data quality, and support change management initiatives. This hybrid position offers a blend of on‑site collaboration at the Bangalore campus and remote work flexibility, enabling you to grow in a dynamic, fast‑paced environment. Key Responsibilities: 1. Design and develop interactive Power BI dashboards that visualize key performance indicators for various business functions. 2. Write complex SQL queries, perform data modeling, and create scalable data sets for analytics consumption. 3. Clean, transform, and integrate data from multiple sources ensuring high data quality and governance. 4. Collaborate with stakeholders to gather requirements, translate business needs into technical specifications, and ensure alignment on deliverables. 5. Apply AI prompting tools to automate repetitive analytics tasks and improve solution efficiency. 6. Conduct data validation, implement quality checks, and maintain documentation for data lineage. 7. Identify process inefficiencies in the analytics workflow and propose automation or optimization solutions. 8. Support change management by preparing user guides, conducting training sessions, and gathering feedback post‑deployment. 9. Participate in cross‑functional meetings to provide data‑driven recommendations for business strategy. 10. Stay updated with emerging analytics technologies and suggest adoption where beneficial. Tech Stack: SQL, Power BI, Azure Data Factory, Python (for AI prompting), Data Warehousing concepts, Git for version control, and collaboration tools like JIRA and Confluence. Growth Path: Starting as an Advanced Data Analyst, you can progress to Senior Analyst, Analytics Lead, and eventually to Analytics Manager or Data Strategy roles, with opportunities to specialize in AI‑enabled analytics or data engineering. Why Join Honeywell: You will be part of a world‑renowned organization that invests heavily in employee development, offers exposure to cutting‑edge technologies, and provides a clear career trajectory. The hybrid work model, supportive culture, and emphasis on innovation make Honeywell an ideal launchpad for aspiring data professionals.