Data Analyst – Fresher

Vyapar's interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on SQL queries, data manipulation in Python, and dashboard creation concepts. The final HR round assesses cultural fit and communication skills. Overall difficulty is moderate; thorough preparation on data fundamentals and clear articulation of past projects help candidates succeed.

Vyapar promotes a collaborative work culture where ideas are welcomed and employees are encouraged to take ownership of projects. The company offers structured learning programs, regular mentorship, and a healthy work‑life balance with flexible timings.

Graduates (B.Tech/B.E., B.Sc, B.Com, BBA) from any stream with a minimum of 60% aggregate. Final year students can also apply. No active backlogs at the time of joining. Batch years 2024‑2026 are preferred. Candidates should have a strong analytical mindset and basic knowledge of SQL or Python.

Round 1: Online Aptitude Test → Round 2: Technical Interview (SQL, Python, Data Visualization) → Round 3: HR Interview

Vyapar Apps Pvt. Ltd. is a fast‑growing Indian SaaS startup that empowers small and medium businesses with cloud‑based accounting, inventory, and invoicing solutions. Founded in 2015, the company has expanded its product suite to include point‑of‑sale, e‑commerce integrations, and analytics modules, serving over 1 million merchants across India. With a culture that encourages rapid learning, cross‑functional collaboration, and a strong focus on customer impact, Vyapar has consistently been recognized for its innovative product roadmap and employee‑first policies. The Data Analyst – Fresher role is designed for recent graduates who are passionate about turning raw data into actionable business insights. As a member of the analytics team, you will work closely with product, marketing, and sales stakeholders to ensure data quality, build visual dashboards, and support data‑driven decision making. This position offers a hands‑on environment where you will be mentored by senior analysts and get exposure to real‑world business problems from day one. Key responsibilities include: 1) Collecting and cleaning raw data from multiple sources such as databases, CSV files, and APIs. 2) Transforming data into structured formats suitable for analysis. 3) Performing exploratory data analysis on large datasets to uncover patterns and trends. 4) Designing and maintaining interactive dashboards using Power BI or Tableau. 5) Creating clear visualizations and reports that communicate insights to non‑technical audiences. 6) Supporting product, marketing, and sales teams with ad‑hoc analytical queries. 7) Preparing periodic analytical reports for senior leadership. 8) Presenting findings and recommendations to internal stakeholders. 9) Collaborating with the technology team to ensure data pipelines are reliable. 10) Upholding data integrity and quality standards throughout the lifecycle. The tech stack primarily involves SQL for data extraction, Python (pandas, numpy) for data manipulation, and visualization tools like Power BI/Tableau. As you grow, you can progress to senior analyst, analytics lead, or product analytics manager roles, with opportunities to specialize in machine learning or business intelligence strategy. Joining Vyapar means being part of a vibrant, inclusive team that values continuous learning, offers flexible work‑from‑office arrangements, and provides a clear career trajectory for ambitious freshers.