Associate Data Analyst

Candidates typically undergo a three‑round interview process: an initial technical round focusing on SQL and ETL concepts, a second round with a senior analyst or manager to assess problem‑solving and domain knowledge, and a final HR round. The technical questions are moderate in difficulty, often involving real‑world data scenarios and scenario‑based problem solving. Preparation tips include practicing SQL queries, reviewing ETL concepts, and brushing up on data governance principles.

Ecolab fosters an inclusive and collaborative work environment where diverse perspectives are valued. Employees enjoy a healthy work‑life balance, continuous learning opportunities, and a culture that rewards innovation and teamwork.

Bachelor’s degree in any discipline with a minimum of 60% marks. Candidates should be from the 2024 batch or earlier. No backlog policy; candidates with a single backlog are acceptable if the overall percentage meets the requirement.

Round 1: Technical (SQL, Python, ETL) → Round 2: HR → Round 3: Managerial

Ecolab, a global leader in water, hygiene, and energy technologies, has been transforming industrial and consumer processes for over a century. With a presence in more than 170 countries, the company is renowned for its commitment to sustainability, innovation, and operational excellence. In India, Ecolab’s Pune hub serves as a critical node for data-driven decision making, supporting a wide array of clients across manufacturing, food & beverage, hospitality, and healthcare sectors. The Associate Data Analyst role is an entry‑level position designed for fresh graduates or early‑career professionals who are passionate about turning raw data into actionable insights. The role involves collaborating with cross‑functional teams to design, develop, and maintain data pipelines, ensuring data quality and governance standards are upheld. You will work closely with senior analysts and data scientists to support business intelligence initiatives, generate reports, and provide data‑driven recommendations that influence product development and operational efficiency. Key responsibilities include: 1. Designing and writing SQL queries to extract, transform, and load data from source systems. 2. Building and maintaining ELT/ETL pipelines using tools such as Azure Data Factory or Informatica. 3. Performing data quality checks, profiling, and validation to ensure accuracy and consistency. 4. Documenting data models, data dictionaries, and data lineage for audit and compliance. 5. Collaborating with business stakeholders to gather data requirements and translate them into technical specifications. 6. Creating dashboards and visualizations using Power BI or Tableau to communicate insights. 7. Monitoring data pipelines and troubleshooting performance issues. 8. Participating in data governance initiatives, including data security and privacy compliance. 9. Conducting exploratory data analysis to identify trends and patterns. 10. Supporting ad‑hoc analytical queries and reporting needs. Tech stack: SQL, Python, Azure Data Factory (or equivalent ETL tools), Power BI/Tableau, data governance frameworks. Growth path: Starting as an Associate Data Analyst, you can progress to Senior Data Analyst, then to Data Analyst Lead, and eventually to roles such as Data Engineer or Data Science Lead, depending on skill development and business exposure. Why join Ecolab? The company offers a collaborative culture that values continuous learning, provides mentorship from seasoned professionals, and encourages cross‑functional projects. Employees benefit from global exposure, competitive compensation, and a strong focus on sustainability and innovation. The Pune office is known for its supportive environment, flexible work arrangements, and opportunities to work on high‑impact projects that drive real business outcomes.