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REQUIREMENT_ID_45 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst – Fresher

Company
Company jobsmind.in
Type
Opportunity Type Internship
Salary
Stipend / Salary β‚Ή3.5–6 LPA
Location
Location Bengaluru, Karnataka
Posted Date
Posted Date Today
Excel SQL Power BI Tableau Python R ETL Data Cleaning Business Analytics Data Visualization
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Aptitude Practice Questions & Mock Tests Open Resource β†—
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
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Company-Specific Interview Preparation Corner Open Resource β†—
Detailed interview experiences, exam formats, and previous test questions for jobsmind.in and tech roles.
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Technical Placement Cheat Sheets & Question Bank Open Resource β†—
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
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Algorithm, DSA & Live Code Debugger Practice Open Resource β†—
Hands-on problem sets to improve coding speed and step-by-step memory debugging.

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.

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.

jobsmind.in β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
jobsmind.in Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for jobsmind.in and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Excel, SQL, Power BI, Tableau, Python, R, ETL, Data Cleaning, Business Analytics, Data Visualization) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
jobsmind.in Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join jobsmind.in as a Data Analyst – Fresher?
Preparation Tip: Highlight jobsmind.in's market reputation, recent tech innovations, and how your skills in Excel directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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