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REQUIREMENT_ID_1482 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst – Off Campus Hiring

Company
Company Mhtechin
Type
Opportunity Type Internship
Salary
Stipend / Salary 4.5 LPA
Location
Location Pune, Maharashtra
Posted Date
Posted Date Today
SQL Advanced Excel Python or R Tableau/Power BI/Looker Statistics Data Cleaning Data Visualization A/B Testing Communication Problem Solving
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Aptitude Practice Questions Open Resource β†—
Curated set of quantitative and logical reasoning problems to sharpen the aptitude skills required for the initial assessment.
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Company Interview Preparation Guide Open Resource β†—
Comprehensive guide covering typical interview formats, common questions, and best‑practice answers for data analyst roles.
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Comprehensive Interview Prep Resources Open Resource β†—
Extensive collection of interview tips, mock questions, and experience stories to help candidates prepare for technical and HR rounds.
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Algorithm and Data Structure Problem Sets Open Resource β†—
Large repository of coding problems to practice Python/SQL coding challenges often asked in technical interviews.

Graduation Year: 2025 or 2026. Degrees accepted: B.E./B.Tech, B.Sc, M.Sc, M.Tech, MBA (Analytics) or equivalent. Branches: Computer Science, Statistics, Mathematics, Data Science, Economics, or related fields. Minimum aggregate: 60% (or CGPA 6.0). No active backlogs at the time of joining. Must have strong command of English (written & verbal).

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Round 1: Online Application
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Round 2: Aptitude & SQL/Python Assessment
3
Round 3: Technical Interview (problem solving & case study)
4
Round 4: HR/Managerial Round
MHTECHIN is a fast‑growing technology solutions provider headquartered in Pune, known for delivering innovative products across finance, retail, and healthcare domains. The company prides itself on a data‑centric culture where analytics drives product decisions, operational efficiency, and market expansion. With a strong focus on continuous learning, MHTECHIN invests heavily in upskilling its workforce through mentorship programs, internal hackathons, and collaborations with leading academic institutions. The Data Analyst – Off Campus Hiring 2026 role is designed for fresh graduates who are eager to translate raw data into actionable business insights. As part of a collaborative analytics team, you will work closely with product managers, marketers, finance professionals, and operations leaders to build data pipelines, visual dashboards, and predictive models that influence strategic decisions. This position offers a hybrid work model, allowing you to split your time between the vibrant Pune office and remote work, fostering both teamwork and flexibility. Key Responsibilities: 1. Collect, clean, and transform large, complex data sets from multiple internal and external sources. 2. Build and maintain interactive dashboards and visualizations using Tableau, Power BI, or Looker. 3. Conduct exploratory data analysis (EDA) to identify trends, anomalies, and growth opportunities. 4. Design, execute, and evaluate A/B tests, performing statistical analysis to derive actionable insights. 5. Develop predictive reports and basic forecasting models to support business planning. 6. Collaborate with cross‑functional teams to translate business questions into analytical solutions. 7. Ensure data quality, accuracy, and security across pipelines and reporting layers. 8. Document analytical findings and present recommendations clearly to both technical and non‑technical stakeholders. 9. Assist in the creation of data models and support ETL processes using tools like dbt or Airflow. 10. Stay updated with emerging analytics tools and best practices to continuously improve the analytics workflow. Tech Stack: SQL, Advanced Excel, Python (pandas, numpy), Tableau/Powerβ€―BI/Looker, BigQuery or Snowflake, dbt, Airflow, basic statistical packages (R or Python’s statsmodels). Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, then to Data Scientist or Analytics Manager within 2‑4 years, with opportunities to lead cross‑functional analytics projects and mentor new hires. Why Join MHTECHIN: The company offers a competitive salary with performance bonuses, a supportive mentorship ecosystem, exposure to diverse industry projects, and a clear roadmap for career advancement. The hybrid work culture promotes work‑life balance while encouraging collaboration and innovation.

Mhtechin β€” QA & Automation Testing 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 🎯
Mhtechin Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Mhtechin 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 (SQL, Advanced Excel, Python or R, Tableau/Power BI/Looker, Statistics, Data Cleaning, Data Visualization, A/B Testing, Communication, Problem Solving) & 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
Mhtechin Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between Implicit Wait, Explicit Wait, and Fluent Wait in Selenium? Answer β–Ό
Model Answer: Implicit Wait sets a global timeout for all element lookups. Explicit Wait pauses execution until a specific ExpectedCondition (e.g. elementToBeClickable) is met. Fluent Wait allows defining polling frequency and ignoring specific exceptions like NoSuchElementException.
Explain the Page Object Model (POM) and its advantages in Test Automation. Answer β–Ό
Model Answer: POM is a design pattern that creates an object repository for web UI elements. It separates test scripts from page locators, reducing code duplication and making maintenance easy when UI elements change.
How do you handle dynamic WebElements whose ID changes on page reload? Answer β–Ό
Model Answer: Use dynamic XPath methods like contains(), starts-with(), text(), or XPath axes (ancestor, following-sibling, parent) instead of brittle absolute paths.
What is the difference between @BeforeMethod and @BeforeClass in TestNG? Answer β–Ό
Model Answer: @BeforeClass runs once before the first test method in the current class, while @BeforeMethod executes before each individual test method.
How do you validate REST API response codes and JSON payload using Postman / RestAssured? Answer β–Ό
Model Answer: In RestAssured: given().when().get('/endpoint').then().assertThat().statusCode(200).body('status', equalTo('ACTIVE')).
Why do you want to join Mhtechin as a Data Analyst – Off Campus Hiring?
Preparation Tip: Highlight Mhtechin's market reputation, recent tech innovations, and how your skills in SQL 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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