
Eligibility Criteria
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 2024β2026 are preferred. Candidates should have a strong analytical mindset and basic knowledge of SQL or Python.

Job Description & Key Responsibilities
Vyapar Apps Pvt. Ltd. is a fastβgrowing Indian SaaS startup that empowers small and medium businesses with cloudβbased accounting, inventory, and invoicing solutions. Founded in 2015, the company has expanded its product suite to include pointβofβsale, eβcommerce integrations, and analytics modules, serving over 1 million merchants across India. With a culture that encourages rapid learning, crossβfunctional collaboration, and a strong focus on customer impact, Vyapar has consistently been recognized for its innovative product roadmap and employeeβfirst policies.
The Data Analyst β 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 dataβdriven decision making. This position offers a handsβon environment where you will be mentored by senior analysts and get exposure to realβworld 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 nonβtechnical audiences. 6) Supporting product, marketing, and sales teams with adβhoc 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 workβfromβoffice arrangements, and provides a clear career trajectory for ambitious freshers.