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REQUIREMENT_ID_271 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst – Business

Company
Company QuickHire
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 3.5 LPA
Location
Location Remote
Posted Date
Posted Date Today
SQL Tableau Power BI Data Visualization Statistical Analysis Excel Python Data Cleaning
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Aptitude Practice Questions Open Resource β†—
Curated set of quantitative and logical problems to sharpen reasoning skills needed for the initial screening at linkedin.com.
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Company Interview Preparation Guide Open Resource β†—
Comprehensive guide covering typical interview formats and frequently asked questions for roles at linkedin.com.
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Comprehensive Interview Prep Resource Open Resource β†—
A collection of interview experiences, tips, and mock questions to help candidates perform confidently at linkedin.com.
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Coding Problem Set Open Resource β†—
Extensive list of algorithmic problems to practice coding and data manipulation skills relevant for technical rounds at linkedin.com.

Graduates with B.Tech/B.E, B.Sc, B.Com, BCA or MCA in any stream; minimum 60% aggregate (or CGPA 6.5/10); batch years 2025, 2026 or 2027; no active backlogs at the time of joining; strong analytical aptitude and willingness to learn.

1
Round 1: Online Aptitude & Logical Reasoning Test
2
Round 2: Technical Interview (SQL, Data Visualization, Case Study)
3
Round 3: HR Interview (fitment, communication, career goals)
Qwik Hire Staffing is a fast‑growing staffing solutions firm that partners with technology‑driven enterprises across India. Founded in 2015, the company has built a reputation for delivering niche talent in data, analytics, and digital domains. With a network of over 10,000 professionals, Qwik Hire focuses on matching fresh graduates with roles that accelerate their career growth while helping client organizations meet critical business objectives. The firm prides itself on a culture of continuous learning, mentorship, and a performance‑driven environment that encourages employees to take ownership of their projects. The Business Data Analyst role is a full‑time, remote position that will serve one of Qwik Hire’s marquee clients – a leading e‑commerce and logistics platform. The analyst will be responsible for turning raw, high‑volume data into actionable insights that drive product development, marketing strategies, and operational efficiencies. This is an ideal opportunity for recent graduates with a strong analytical mindset, who are eager to work in a data‑centric environment and make a tangible impact on business decisions. **Key Responsibilities** 1. Collect, clean, and preprocess large structured and unstructured datasets from multiple sources. 2. Perform statistical analyses to identify trends, correlations, and anomalies. 3. Design, develop, and maintain interactive dashboards using Tableau or Power BI to visualize key performance indicators. 4. Generate regular and ad‑hoc reports that translate complex data findings into clear business recommendations. 5. Collaborate with product, marketing, and operations teams to define data requirements and ensure alignment with strategic goals. 6. Conduct data validation and quality checks to guarantee accuracy and consistency across reports. 7. Automate repetitive data extraction and reporting tasks using SQL scripts and basic Python. 8. Present insights to senior stakeholders through concise storytelling and visual aids. 9. Stay updated with emerging analytics tools and best practices to continuously improve analytical workflows. 10. Document analytical processes, data dictionaries, and reporting standards for future reference. **Tech Stack**: SQL, Tableau / Power BI, Excel, Python (pandas, numpy), statistical packages (R or Python), Git for version control. **Growth Path**: Successful analysts can progress to Senior Analyst, Analytics Lead, or specialize in Data Engineering or Business Intelligence within 2‑3 years, with opportunities to lead cross‑functional projects and mentor new hires. **Why Join**: The role offers exposure to real‑world business problems, a supportive remote work environment, and a clear career trajectory. Qwik Hire’s partnership model ensures that analysts receive mentorship from both the staffing firm and the client’s senior leadership, fostering rapid skill development and professional visibility.

QuickHire 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 🎯
QuickHire Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for QuickHire 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, Tableau, Power BI, Data Visualization, Statistical Analysis, Excel, Python, Data Cleaning) & 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
QuickHire 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 QuickHire as a Data Analyst – Business?
Preparation Tip: Highlight QuickHire'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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