Data Analyst – Fresher

Candidates typically face a three‑stage process: an online aptitude test, a technical round that includes SQL queries, Excel case studies, and a dashboard creation task, followed by an HR discussion. The difficulty is moderate, focusing on practical problem‑solving rather than deep theoretical knowledge. Preparing with real‑world data scenarios and reviewing basic statistics helps boost confidence.

Jobsmind.in fosters a collaborative, fast‑paced environment where employees are encouraged to share ideas and take initiative. The platform emphasizes continuous learning, offering regular upskilling sessions and a balanced work‑life approach. Growth opportunities are abundant, with clear pathways for advancement based on performance and skill development.

Bachelor’s degree in Engineering, Statistics, Computer Science, Mathematics, Economics or related discipline; minimum 60% aggregate (or equivalent CGPA); recent graduate (graduated within the last 12 months); completed internship in Data Analytics or a similar role; no active backlogs at the time of application.

Round 1: Online aptitude & logical reasoning test → Round 2: Technical assessment covering SQL queries, Excel case study, and a mini dashboard task → Round 3: Technical interview focusing on data cleaning, ETL concepts, and Python/R basics → Round 4: HR interview assessing communication, cultural fit, and availability.

Simply Vyapar Apps Private Limited, the tech arm behind the popular Vyapar suite, is a fast‑growing SaaS company that helps millions of small businesses manage their finances, inventory and sales. Headquartered in Bengaluru, Vyapar has built a reputation for delivering intuitive, mobile‑first solutions that simplify day‑to‑day operations for merchants across India. The company’s culture emphasizes data‑driven decision making, rapid product iteration, and a collaborative environment where fresh talent is encouraged to take ownership and experiment. The Data Analyst – Fresher role is designed for recent graduates who have completed an internship in data analytics and are eager to transition into a full‑time analytical career. Reporting to the Business Intelligence team, the analyst will work closely with Product, Marketing, and Sales units to turn raw business data into actionable insights. Daily responsibilities include cleaning and transforming datasets, building interactive dashboards, and presenting findings that influence product roadmaps and go‑to‑market strategies. This position offers a unique blend of technical work and business exposure, making it an ideal launchpad for a career in analytics. Key Responsibilities: 1. Collect, clean, and validate raw data from multiple sources. 2. Perform ETL operations to prepare data for analysis. 3. Conduct exploratory data analysis to uncover trends and patterns. 4. Develop and maintain interactive dashboards using Power BI or Tableau. 5. Create visualizations and reports that communicate insights to cross‑functional teams. 6. Support Product, Marketing, and Sales teams with data‑driven recommendations. 7. Document data pipelines, data dictionaries, and analytical methodologies. 8. Participate in regular data quality audits and suggest improvements. 9. Assist the technology team in integrating new data sources. 10. Continuously learn and apply new analytical techniques and tools. Tech Stack: Excel, SQL, Power BI/Tableau, Python or R, ETL concepts, Google Analytics. The role also offers exposure to cloud data warehouses and basic statistical modeling. Growth Path: Starting as a Fresher Analyst, high performers can progress to Senior Analyst, BI Lead, or Product Analyst roles within 2‑3 years. The company encourages upskilling through internal workshops, certifications, and mentorship programs. Why Join Vyapar? You will be part of a product‑centric organization that values data as a strategic asset. The role provides hands‑on experience with real business problems, mentorship from seasoned analysts, and a clear trajectory for career advancement. Additionally, the Bengaluru office offers a vibrant tech ecosystem, flexible working hours, and a supportive team culture that celebrates learning and innovation.