Data Analyst / Developer

L&T’s interview process typically starts with a timed online aptitude test, followed by a technical interview that probes SQL query optimisation, Power BI dashboard creation and Python coding. The HR round focuses on cultural fit, communication skills and career aspirations. Candidates who demonstrate clear problem‑solving ability and a willingness to learn tend to succeed.

L&T promotes a collaborative work environment with a strong emphasis on learning and mentorship. Employees enjoy a balanced work‑life schedule, regular up‑skilling programs and clear growth trajectories within the organisation.

Bachelor's degree in Computer Science, Data Science, Engineering, Statistics or related field; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2025‑2027; no active backlogs; strong foundation in SQL, Power BI and Python; good communication skills.

Round 1: Online aptitude test (quantitative, logical reasoning, English) → Round 2: Technical interview (SQL queries, Power BI case study, Python coding) → Round 3: HR interview (fitment, motivation, salary expectations)

Larsen & Toubro (L&T) is one of India’s largest multinational conglomerates, operating across engineering, construction, manufacturing, technology and financial services. With a legacy of more than 80 years, L&T has built a reputation for delivering complex infrastructure projects and cutting‑edge technology solutions. The company’s data‑driven culture is expanding rapidly, and it is investing heavily in analytics, business intelligence and AI to stay ahead in a competitive market. As a fresher-friendly organization, L&T offers structured training, mentorship from senior professionals, and clear career progression pathways for young talent. The Data Analyst / Developer role is designed for recent graduates who have a solid grounding in SQL, Power BI and Python, and are eager to apply these skills to real‑world business problems. You will work closely with senior data scientists, business analysts and domain experts to extract, clean, transform and visualize data, while also getting exposure to basic machine‑learning projects. This position serves as a launchpad for a career in data analytics, business intelligence, or AI engineering within a globally recognized brand. Key Responsibilities: 1. Write, optimise and maintain complex SQL queries for data extraction across SQL Server, MySQL or PostgreSQL databases. 2. Perform data cleaning, transformation, validation and build reusable ETL pipelines. 3. Design and develop interactive Power BI dashboards, data models, DAX calculations and KPI visualisations. 4. Translate business requirements into analytical solutions and ensure data accuracy in reports. 5. Assist in developing and deploying simple machine‑learning models using Python libraries such as Pandas, NumPy, Scikit‑learn, Matplotlib and Seaborn. 6. Conduct exploratory data analysis (EDA) to uncover trends and insights for business stakeholders. 7. Document code, data lineage and analytical processes for reproducibility. 8. Collaborate with cross‑functional teams, attend requirement‑gathering sessions and support senior analysts on ongoing projects. 9. Prepare presentation‑ready reports and decks for senior leadership. 10. Continuously learn emerging tools and best practices in data analytics and AI. Tech Stack: SQL (joins, window functions), Power BI (DAX, data modelling), Python (Pandas, NumPy, Scikit‑learn, Matplotlib, Seaborn), Excel, Git, basic cloud concepts (AWS/Azure). Growth Path: Starting as a Data Analyst / Developer, you can progress to Senior Analyst, Data Engineer, Machine‑Learning Engineer, or Analytics Manager within 2‑4 years, depending on performance and up‑skilling. L&T’s internal learning portals and sponsorship for certifications further accelerate career growth. Why Join L&T? You get to work on high‑impact projects for industry‑leading clients, receive mentorship from seasoned professionals, and be part of a culture that values innovation, continuous learning and work‑life balance. The company’s strong brand, competitive compensation and clear promotion criteria make it an ideal launchpad for a data‑focused career.