Data Analyst (Fresher)

Candidates typically face a 30‑minute online aptitude test followed by a 45‑minute technical interview focusing on SQL queries, Python data‑handling, and a mini‑case study. The HR round assesses communication skills and cultural fit. Overall difficulty is moderate; thorough preparation of basics and clear articulation of past projects help candidates succeed.

Nova Tech promotes a collaborative and inclusive work environment where ideas are welcomed from every level. Employees enjoy a balanced work‑life schedule, flexible remote options, and clear growth pathways backed by regular mentorship. The company’s emphasis on continuous learning ensures that analysts stay updated with the latest tools and industry trends.

Graduates with a B.Tech/B.E., B.Sc, B.Com, BCA or MCA degree in Computer Science, Statistics, Mathematics, Economics, or related fields. Minimum aggregate of 60% (or CGPA 6.0/10). No active backlogs at the time of joining. Final year students (2024‑2025 batch) can apply, but must be able to join full‑time after graduation. Candidates should possess a basic understanding of data analysis concepts and a willingness to learn.

Round 1: Online Aptitude Test → Round 2: Technical Interview (SQL & Python fundamentals, case study) → Round 3: HR Interview (fitment and motivation)

Nova Tech is an emerging technology solutions provider that focuses on delivering data‑driven products to clients across retail, finance, and logistics sectors. Founded in 2018, the company has quickly built a reputation for leveraging cutting‑edge analytics platforms to help businesses turn raw data into actionable insights. With a young, energetic workforce and a culture that encourages continuous learning, Nova Tech offers a fertile ground for fresh talent to grow alongside seasoned professionals. The organization operates from multiple hubs across India, but its projects are largely remote‑first, allowing employees to collaborate seamlessly from any location. The Data Analyst role at Nova Tech is designed specifically for recent graduates who are eager to apply their academic knowledge to real‑world problems. As a fresher analyst, you will be part of a dynamic analytics team that supports senior data scientists and business stakeholders. Your day‑to‑day activities will involve gathering data from disparate sources, cleaning and transforming it, and creating visual narratives that help drive strategic decisions. You will also get exposure to predictive modelling, statistical testing, and the latest BI tools, making this position an excellent launchpad for a career in data science. **Key Responsibilities** 1. Assist in collecting, cleaning, and processing large datasets from various internal and external sources. 2. Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies. 3. Develop and maintain interactive dashboards using Tableau or Power BI to communicate insights. 4. Support senior analysts in building predictive models and conducting statistical analyses. 5. Collaborate with cross‑functional teams to translate business requirements into analytical tasks. 6. Document data pipelines, analysis methodologies, and findings for future reference. 7. Learn and apply new analytical tools, libraries, and techniques as projects demand. 8. Participate in team meetings, present progress updates, and contribute ideas during brainstorming sessions. 9. Conduct quality assurance checks on data and analytical outputs to ensure accuracy. 10. Handle ad‑hoc data requests and contribute to special projects as needed. **Tech Stack**: Python (pandas, numpy, matplotlib), SQL, Excel, Tableau/Power BI, Git, Jupyter Notebook, basic statistical packages (R or Python’s statsmodels). **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 3‑5 years, depending on skill acquisition and project impact. **Why Join Nova Tech?** The company invests heavily in employee upskilling through regular workshops, certifications, and mentorship programs. Freshers receive hands‑on exposure to live projects from day one, ensuring a steep learning curve. Moreover, Nova Tech’s flexible work‑from‑home policy, transparent performance appraisal system, and employee‑first culture make it an attractive place for ambitious graduates seeking a solid foothold in the analytics domain.