Advanced Data Analyst

The interview process typically starts with a timed online assessment focusing on aptitude, SQL queries and basic data‑manipulation tasks. Successful candidates move to a technical interview where they solve case‑based problems, discuss past projects and may be asked to write simple Python scripts. The final HR round evaluates cultural fit, communication skills and salary expectations. Overall difficulty is moderate, and thorough preparation of SQL fundamentals and business‑case analysis greatly improves chances.

Round 1: Online Assessment (aptitude + SQL/Excel) → Round 2: Technical Interview (scenario‑based questions, case studies, coding) → Round 3: HR Interview (fit, motivation, compensation discussion)

Oracle (the hiring platform) is renowned for a collaborative work environment that encourages continuous learning and innovation. Employees benefit from clear career ladders, regular skill‑upgradation programs and a healthy work‑life balance supported by flexible timings and remote‑work options where applicable.

B.Tech/B.E./MCA/BS in Computer Science, Information Technology, Electronics, Mechanical or related streams; 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.

Honeywell, a global leader in aerospace, building technologies, performance materials and safety solutions, has a strong presence in India with cutting‑edge research labs, manufacturing units and a vibrant services ecosystem. The company’s Indian operations are known for fostering innovation, encouraging cross‑functional collaboration and delivering technology‑driven solutions to customers worldwide. As part of its Digital Transformation journey, Honeywell invests heavily in data‑centric products and services, creating a fertile ground for fresh talent to contribute to real‑world business impact. The Advanced Data Analyst role is designed for recent graduates who are eager to translate raw data into actionable insights. Reporting to the Business Intelligence Lead, the analyst will partner with product managers, operations heads and technology teams to build end‑to‑end analytics solutions. The position blends technical rigor with business acumen, ensuring that dashboards, reports and predictive models are not only accurate but also aligned with strategic objectives. Key responsibilities include: 1. Gather and understand business requirements from multiple stakeholders. 2. Design, develop and maintain interactive dashboards using Tableau or Power BI. 3. Write complex SQL queries and stored procedures to extract, transform and load data from Oracle, MySQL and cloud data lakes. 4. Perform data cleansing, validation and quality checks to ensure reliability of insights. 5. Build statistical models in Python/R for trend analysis and forecasting. 6. Document data lineage, metadata and reporting standards. 7. Conduct ad‑hoc analysis to support decision‑making across functions. 8. Train end‑users on self‑service analytics tools and best practices. 9. Monitor performance of deployed solutions and implement enhancements. 10. Contribute to continuous improvement of the analytics framework and governance. The tech stack revolves around SQL, Python, Tableau/Power BI, Excel, ETL tools like Informatica or Azure Data Factory, and version‑control systems such as Git. Successful analysts can expect a clear growth path: Analyst → Senior Analyst → Analytics Lead → Manager → Director of Business Intelligence. Honeywell’s culture of mentorship, global exposure and a focus on sustainability makes it an attractive place for fresh talent. Joining now offers the chance to work on high‑impact projects, receive structured training, and build a network across a multinational organization, all while enjoying a competitive compensation package and a supportive work‑life balance.