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REQUIREMENT_ID_278 β€’ 3-DAY_ACTIVE_POLICY

Walk-In Any Fresher's/Expr-Data Analyst/Reporting Associate Analyst

Company
Company Featured Tech Partner
Type
Opportunity Type Internship
Salary
Stipend / Salary 2.5-5 LPA
Location
Location Bengaluru, Kolkata, Hyderabad, Navi Mumbai, Pune, Ahmedabad, Chennai, Surat, Delhi/NCR
Posted Date
Posted Date Today
Python SQL Power BI Tableau Advanced Excel Web Scraping Data Visualization Data Mining MIS Reporting Data Extraction Data Validation Jupyter Notebook
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Aptitude Practice Questions Open Resource β†—
Curated aptitude questions to sharpen logical reasoning and quantitative skills required for the first interview round at Naukri.com.
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Technical Interview Preparation Guide Open Resource β†—
Comprehensive guide covering data‑analysis concepts, coding challenges, and common technical questions asked by Naukri.com recruiters.
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Interview Experience and Tips Open Resource β†—
Real candidate experiences and actionable tips to help you navigate the interview process at Naukri.com effectively.
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Coding Practice Problems Open Resource β†—
A collection of algorithmic problems to improve problem‑solving speed and accuracy, useful for technical assessments at Naukri.com.

Any graduate (UG) from 2019‑2025 in BCA, B.Tech/B.E., B.Sc Computer Science, B.Com, B.A, BBA, BMS, BFA, MCA, M.Tech, MBA or any other relevant discipline. Minimum aggregate of 60% (or CGPA 6.0/10). No active backlogs at the time of joining. Candidates should have basic knowledge of data analysis tools and a strong willingness to learn.

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Round 1: Aptitude & Logical Reasoning
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Round 2: Technical Assessment (Python/SQL/Excel/Case Study)
3
Round 3: HR Interview (fitment & communication)
Wisdom Bridge Consultants is partnering with a leading software product company that has carved a niche in delivering data‑driven solutions to Fortune‑500 clients across India and abroad. The organization prides itself on a culture of continuous learning, rapid innovation, and a flat hierarchy that encourages fresh ideas from every employee. With a robust portfolio ranging from enterprise analytics platforms to AI‑enabled reporting tools, the company has consistently been recognized for its customer‑centric approach and strong growth trajectory. As a Data Analyst / Reporting Associate Analyst, you will be at the heart of the business intelligence engine, turning raw data into actionable insights that drive strategic decisions. The role is ideal for recent graduates or early‑career professionals who are passionate about data, possess a strong analytical mindset, and are eager to work in a fast‑paced, collaborative environment. You will work closely with senior analysts, product managers, and cross‑functional teams to understand business requirements, design data pipelines, and deliver visual dashboards that tell compelling stories. **Key Responsibilities** 1. Gather, clean, and validate data from multiple internal and external sources ensuring accuracy and completeness. 2. Develop and maintain daily, weekly, and monthly performance reports using advanced Excel, Power BI, or Tableau. 3. Perform exploratory data analysis to identify trends, anomalies, and opportunities for process improvement. 4. Build automated web‑scraping solutions using BeautifulSoup, Selenium, or Webscrapper.io to ingest unstructured data. 5. Write efficient SQL queries for data extraction, transformation, and loading (ETL) tasks. 6. Create interactive dashboards and visualizations that enable stakeholders to monitor KPIs in real time. 7. Document data workflows, data dictionaries, and reporting standards for knowledge sharing. 8. Collaborate with the data engineering team to optimize data pipelines and improve data latency. 9. Participate in ad‑hoc analysis projects and present findings to senior leadership. 10. Continuously upskill by exploring new tools, techniques, and industry best practices. **Tech Stack**: Python (pandas, NumPy, Jupyter), SQL (MySQL/PostgreSQL), Power BI, Tableau, Advanced MS Excel (PivotTables, VLOOKUP, macros), Web Scraping tools (BeautifulSoup, Selenium), Git for version control. **Growth Path**: Starting as an Analyst, high performers can progress to Senior Analyst, then to Data Scientist or Business Intelligence Lead within 2‑3 years, with opportunities to lead cross‑functional projects and mentor new hires. **Why Join?** The company offers a competitive salary, a five‑day work week, exposure to cutting‑edge analytics technologies, and a clear career roadmap. The walk‑in format provides a hassle‑free recruitment experience, and the supportive culture ensures that fresh talent can quickly make an impact while learning from seasoned professionals.

Featured Tech Partner 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 🎯
Featured Tech Partner Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Featured Tech Partner 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 (Python, SQL, Power BI, Tableau, Advanced Excel, Web Scraping, Data Visualization, Data Mining, MIS Reporting, Data Extraction, Data Validation, Jupyter Notebook) & 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
Featured Tech Partner 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 Featured Tech Partner as a Walk-In Any Fresher's/Expr-Data Analyst/Reporting Associate Analyst?
Preparation Tip: Highlight Featured Tech Partner's market reputation, recent tech innovations, and how your skills in Python 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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