Advanced Data Analyst

The interview process at CAES by Honeywell typically starts with a timed online aptitude test, followed by a technical interview that probes SQL query writing, Power BI dashboard creation, and a mini‑case study to assess problem‑solving and business acumen. The final HR round focuses on cultural fit, communication skills, and motivation. Candidates report a moderate difficulty level, with emphasis on practical knowledge rather than obscure theory.

CAES by Honeywell fosters a collaborative environment where engineers and analysts work side‑by‑side on high‑impact projects. The company emphasizes continuous learning, offering regular tech talks and mentorship programs, while maintaining a balanced hybrid work model that supports both professional growth and personal well‑being.

Bachelor’s or Master’s degree in Data Analytics, Computer Science, Engineering or related discipline; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2026; no active backlogs at the time of joining; strong analytical mindset and willingness to learn.

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (SQL, Power BI, case study, AI prompting) → Round 3: HR Interview

Honeywell is a global technology leader that helps organizations solve the world’s most complex challenges across aerospace, building automation, energy, safety and industrial automation. Through its Honeywell Forge platform, the company delivers data‑driven, intelligent solutions that make operations smarter, safer and more sustainable. CAES (Connected Advanced Engineering Services) by Honeywell, a specialised business unit, focuses on building end‑to‑end analytics platforms for large enterprises, enabling them to turn massive data streams into actionable insights. CAES prides itself on a culture of innovation, collaboration and continuous learning. Employees work in cross‑functional teams, get exposure to cutting‑edge AI tools, and are encouraged to experiment with new technologies while adhering to strict data‑governance standards. The hybrid work model offers flexibility, allowing analysts to work from the vibrant Bangalore hub as well as from home, fostering a healthy work‑life balance. The Advanced Data Analyst role is designed for fresh graduates who are passionate about turning raw data into strategic business value. As a trusted analytics partner, you will collaborate closely with business stakeholders, understand their pain points, and deliver scalable, high‑quality dashboards and reports. You will be responsible for the entire analytics lifecycle – from data extraction, cleansing, and modeling to visualization, deployment, and post‑implementation support. The role also involves leveraging AI prompting tools to accelerate solution development and ensure consistency across deliverables. Key Responsibilities: 1. Design, develop, and maintain interactive Power BI dashboards that translate complex data into clear business insights. 2. Write efficient SQL queries and build robust data models to support analytical needs. 3. Perform data cleaning, transformation, and integration using best‑practice data‑engineering techniques. 4. Implement data‑quality checks and governance frameworks to guarantee accuracy and reliability. 5. Engage with stakeholders to gather requirements, present findings, and refine solutions based on feedback. 6. Utilize AI‑driven prompting tools to automate repetitive analytics tasks and speed up delivery. 7. Identify process inefficiencies and propose improvements to enhance analytics delivery speed and quality. 8. Support change‑management initiatives by preparing documentation, training users, and monitoring adoption. 9. Collaborate with data‑engineers and data‑scientists to ensure seamless data pipeline integration. 10. Stay updated with emerging analytics technologies and recommend innovative approaches to solve business problems. Tech Stack: Power BI, SQL, Azure Data Warehouse, Python (for data manipulation), AI prompting platforms, Git for version control, and standard office productivity tools. Growth Path: Starting as an Advanced Data Analyst, you can progress to Senior Analyst, Analytics Lead, and eventually into Data Science or Product Management roles within Honeywell’s global analytics ecosystem. Why Join CAES by Honeywell? You will work with a world‑renowned brand, gain exposure to industry‑leading AI and data‑visualisation tools, and contribute to projects that have a tangible impact on critical sectors such as aerospace, energy and smart cities. The hybrid model, strong mentorship, and clear career progression make this an ideal launchpad for a data‑driven career.