Data Analyst (Fresher)

Clovity's interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on SQL queries, data cleaning, and case‑study discussions. The final HR round assesses cultural fit and communication. Overall difficulty is moderate; thorough preparation on SQL and data visualization tools greatly improves chances.

Clovity promotes a collaborative and merit‑based culture where ideas are welcomed from all levels. Employees enjoy a balanced work‑life schedule, flexible timings, and regular knowledge‑sharing sessions that foster rapid skill growth.

Bachelor's or Master's degree in any discipline (preferably Computer Science, Statistics, Mathematics, Economics, Commerce or Engineering). Minimum aggregate of 60% (or CGPA 6.0/10). Fresh graduates from the 2024, 2025 or 2026 batch are eligible. No active backlogs at the time of joining; a maximum of one backlog cleared at the time of graduation is permissible.

Round 1: Online aptitude test (logical reasoning, quantitative, verbal) → Round 2: Technical interview (SQL queries, data manipulation, case studies) → Round 3: HR interview (fitment, communication, career goals)

Clovity is an emerging data‑driven technology firm headquartered in India that helps enterprises turn raw data into actionable insights. Founded by a group of analytics enthusiasts, the company has quickly built a portfolio of clients across retail, finance, and logistics, delivering end‑to‑end solutions ranging from data warehousing to advanced visual analytics. The work culture at Clovity emphasizes continuous learning, cross‑functional collaboration, and a flat hierarchy that encourages fresh ideas from every team member. With a strong focus on innovation, Clovity invests heavily in upskilling its talent through internal workshops, certifications, and mentorship programs, making it an attractive destination for recent graduates looking to launch a career in data analytics. The Data Analyst (Fresher) role is designed for candidates who are passionate about extracting meaning from large datasets and presenting insights that drive business decisions. As a junior analyst, you will work closely with senior data scientists, product managers, and business stakeholders to understand problem statements, gather relevant data, and deliver clear, data‑backed recommendations. This position offers a solid foundation in the full analytics lifecycle, from data extraction and cleaning to visualization and storytelling. Key Responsibilities: 1. Understand day‑to‑day business challenges that can be addressed through data analysis. 2. Gather, clean, and preprocess data from multiple internal and external sources. 3. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 4. Write efficient SQL queries to retrieve and manipulate data from relational databases. 5. Develop interactive dashboards and visualizations using tools such as Tableau or Power BI. 6. Prepare concise reports and presentations that translate complex findings into actionable business insights. 7. Support ad‑hoc analytical requests from various departments on short notice. 8. Collaborate with senior analysts to design and implement KPI tracking mechanisms. 9. Document analytical processes, assumptions, and data lineage for future reference. 10. Continuously monitor data quality and suggest improvements to data collection pipelines. Tech Stack: SQL, Python (pandas, numpy), Excel, Tableau/Power BI, Git, basic statistics. Growth Path: Starting as a Junior Data Analyst, high performers can progress to Data Analyst, Senior Analyst, and eventually to Data Scientist or Analytics Manager within 2‑4 years, depending on skill development and project impact. Why Join Clovity? You will be part of a fast‑growing startup that values data‑driven decision making, offers hands‑on exposure to real‑world business problems, and provides a clear roadmap for career advancement. The supportive environment, coupled with mentorship from industry experts, ensures that you will acquire the technical and soft skills needed to excel in the analytics domain.