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REQUIREMENT_ID_195 β€’ 3-DAY_ACTIVE_POLICY

Advanced Data Analyst

Company
Company Ibqbjb
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary β‚Ή6–8 LPA
Location
Location Bangalore, Karnataka
Posted Date
Posted Date Yesterday
SQL Python Tableau Power BI Data Visualization Statistical Analysis ETL concepts Excel Problem Solving Communication
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Comprehensive Placement Papers Collection Open Resource β†—
Curated set of past placement papers to practice quantitative, logical and technical questions relevant for data analyst roles.
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Interview Experience and Process Guide Open Resource β†—
First‑hand accounts of the recruitment journey, helping candidates understand each round and prepare effectively.
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Preparation Roadmap for Analyst Interviews Open Resource β†—
Step‑by‑step study plan covering core concepts, mock tests and tips to ace data‑analytics interviews.
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Algorithm Practice Platform Open Resource β†—
Extensive problem set to sharpen coding and problem‑solving skills, essential for technical assessments.

B.Tech/B.E./MCA/BS in Computer Science, Information Technology, Electronics, Mechanical or related streams; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2026; no active backlogs at the time of joining; strong analytical mindset and willingness to learn.

1
Round 1: Online Assessment (aptitude + SQL/Excel)
2
Round 2: Technical Interview (scenario‑based questions, case studies, coding)
3
Round 3: HR Interview (fit, motivation, compensation discussion)
Honeywell, a global leader in aerospace, building technologies, performance materials and safety solutions, has a strong presence in India with cutting‑edge research labs, manufacturing units and a vibrant services ecosystem. The company’s Indian operations are known for fostering innovation, encouraging cross‑functional collaboration and delivering technology‑driven solutions to customers worldwide. As part of its Digital Transformation journey, Honeywell invests heavily in data‑centric products and services, creating a fertile ground for fresh talent to contribute to real‑world business impact. The Advanced Data Analyst role is designed for recent graduates who are eager to translate raw data into actionable insights. Reporting to the Business Intelligence Lead, the analyst will partner with product managers, operations heads and technology teams to build end‑to‑end analytics solutions. The position blends technical rigor with business acumen, ensuring that dashboards, reports and predictive models are not only accurate but also aligned with strategic objectives. Key responsibilities include: 1. Gather and understand business requirements from multiple stakeholders. 2. Design, develop and maintain interactive dashboards using Tableau or Powerβ€―BI. 3. Write complex SQL queries and stored procedures to extract, transform and load data from Oracle, MySQL and cloud data lakes. 4. Perform data cleansing, validation and quality checks to ensure reliability of insights. 5. Build statistical models in Python/R for trend analysis and forecasting. 6. Document data lineage, metadata and reporting standards. 7. Conduct ad‑hoc analysis to support decision‑making across functions. 8. Train end‑users on self‑service analytics tools and best practices. 9. Monitor performance of deployed solutions and implement enhancements. 10. Contribute to continuous improvement of the analytics framework and governance. The tech stack revolves around SQL, Python, Tableau/Powerβ€―BI, Excel, ETL tools like Informatica or Azure Data Factory, and version‑control systems such as Git. Successful analysts can expect a clear growth path: Analyst β†’ Senior Analyst β†’ Analytics Lead β†’ Manager β†’ Director of Business Intelligence. Honeywell’s culture of mentorship, global exposure and a focus on sustainability makes it an attractive place for fresh talent. Joining now offers the chance to work on high‑impact projects, receive structured training, and build a network across a multinational organization, all while enjoying a competitive compensation package and a supportive work‑life balance.

Ibqbjb 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 🎯
Ibqbjb Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Ibqbjb 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, Python, Tableau, Power BI, Data Visualization, Statistical Analysis, ETL concepts, Excel, Problem Solving, Communication) & 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
Ibqbjb 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 Ibqbjb as a Advanced Data Analyst?
Preparation Tip: Highlight Ibqbjb'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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