Data Analyst Developer

The typical interview process includes a technical screening call, followed by a hands‑on data analysis and Python coding test, and concludes with an HR interview. The technical rounds focus on SQL query writing, Power BI scenario questions, and basic machine‑learning concepts. Candidates should be ready to discuss past projects and demonstrate analytical thinking.

L&T Energy Hydrocarbon - OffshoreHazira Mfg Complex offers a dynamic work environment that emphasizes innovation, continuous learning, and teamwork. Employees benefit from structured growth paths, mentorship from senior engineers, and a balanced work‑life approach supported by flexible policies.

Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. Post Graduate Diploma in Information Technology & Management (PGDITM) is also acceptable. Minimum 1‑3 years of relevant experience. No specific percentage requirement mentioned; typical campus criteria apply (60%+ aggregate). Backlog policy follows L&T standards (no active backlogs at time of joining).

Round 1: Technical Screening → Round 2: Data Analysis & Python Coding Test → Round 3: HR Interview

L&T Energy Hydrocarbon - OffshoreHazira Mfg Complex is a leading player in the energy and hydrocarbon industry, operating in the offshore manufacturing complex in Hazira, Gujarat. The company is part of the Larsen & Toubro Group, a renowned conglomerate with a significant presence in various sectors including engineering, construction, and technology. This role as a Data Analyst/Developer offers an exciting opportunity to work with cutting‑edge technologies and contribute to business growth through data‑driven insights. The ideal candidate will be responsible for extracting, transforming, analyzing, and visualizing data while supporting basic machine learning use cases. This role is ideal for candidates looking to grow their skills in data analytics and applied AI in a business environment. Key Responsibilities: - Write, optimize, and maintain SQL queries for data extraction and reporting. - Perform data cleaning, transformation, and validation. - Work with relational databases (e.g., SQL Server, MySQL, PostgreSQL). - Assist in building data pipelines and ETL processes. - Develop interactive dashboards and reports using Power BI. - Create data models, DAX calculations, and KPIs. - Translate business requirements into insightful visualizations. - Ensure data accuracy and consistency in reports. - Assist in developing and deploying basic machine learning models. - Use Python libraries such as Pandas, NumPy, Scikit‑learn, Matplotlib, Seaborn. - Perform exploratory data analysis (EDA). - Support predictive analytics and automation use cases. - Document and maintain code for reproducibility. - Work with business stakeholders to understand data requirements. - Support senior data scientists or analysts in ongoing projects. - Prepare reports, presentations, and documentation. - Continuously learn and adopt new tools and technologies. The role requires strong analytical and problem‑solving abilities, good communication and presentation skills, and the ability to work independently and in a team. The company offers a dynamic work environment with opportunities for growth and learning. L&T Energy Hydrocarbon - OffshoreHazira Mfg Complex is known for its commitment to innovation and excellence. By joining this team, you will have the chance to work on challenging projects, develop your skills, and contribute to the company's success. The tech stack for this role includes SQL, Power BI, Python, and AI/ML. The growth path involves opportunities to work on advanced data analytics projects, develop machine learning models, and eventually lead data‑driven initiatives. Why join this company? L&T Energy Hydrocarbon - OffshoreHazira Mfg Complex offers a stimulating work environment, opportunities for professional growth, and a chance to be part of a leading organization in the energy and hydrocarbon sector.