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REQUIREMENT_ID_123 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst

Company
Company Hubli Analytics
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary β‚Ή24,000–₹42,000/month
Location
Location Hubli, Karnataka (Remote)
Posted Date
Posted Date Yesterday
MS Excel SQL Data Cleaning Data Analysis Reporting Dashboard Creation Analytical Thinking Communication
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Aptitude Practice Questions Open Resource β†—
Provides a wide range of quantitative and logical problems to sharpen the analytical skills needed for the initial screening test.
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Company Interview Preparation Guide Open Resource β†—
Offers insights into typical interview patterns and common questions asked by Indian companies, helping candidates prepare effectively.
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Hubli Analytics Data Analyst Interview Guide Open Resource β†—
Specific preparation material covering role‑specific topics, sample questions, and tips tailored for Hubli Analytics data analyst positions.
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Algorithm & Data Structure Problem Set Open Resource β†—
A collection of coding problems to practice logical reasoning and problem‑solving, useful for technical interview rounds.

Graduate (any stream) with a minimum of 60% aggregate; comfortable with numbers and data handling; batch year 2025‑2026 preferred; no active backlogs at the time of joining; strong communication skills in English.

1
Round 1: Online aptitude test
2
Round 2: Technical interview (Excel & SQL basics, case study)
3
Round 3: HR interview (cultural fit and expectations)
Hubli Analytics is an emerging data‑driven solutions provider based in Hubli, Karnataka. The company focuses on delivering actionable insights to small and medium enterprises across India, helping them make informed decisions through robust reporting, dashboard creation, and predictive analytics. With a small but highly motivated team, Hubli Analytics encourages a culture of continuous learning, where fresh talent gets exposure to real‑world projects from day one. The organization values transparency, collaboration, and a healthy work‑life balance, offering flexible remote work options to attract the best minds from across the country. As a Data Analyst at Hubli Analytics, you will be the backbone of the data pipeline, turning raw data into meaningful narratives that drive business strategy. This role is ideal for recent graduates who are comfortable with numbers, possess a keen eye for detail, and are eager to develop their analytical skill set in a supportive environment. You will work closely with senior analysts, product managers, and client teams to understand data requirements, clean and transform datasets, and present findings in clear, visual formats. Key Responsibilities: 1. Gather, clean, and preprocess data from multiple sources to ensure accuracy and consistency. 2. Develop and maintain interactive dashboards using Excel and other visualization tools. 3. Generate periodic and ad‑hoc reports that highlight key performance indicators. 4. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 5. Translate analytical insights into actionable recommendations for stakeholders. 6. Collaborate with cross‑functional teams to define data requirements and deliver solutions. 7. Document data workflows, methodologies, and reporting standards. 8. Continuously monitor data quality and suggest improvements to data collection processes. 9. Stay updated with industry best practices and emerging analytical techniques. 10. Assist in training junior team members on basic data handling and reporting tools. Tech Stack: MS Excel (advanced functions, pivot tables, Power Query), SQL (basic querying), data visualization tools (Excel charts, Power BI basics), and basic statistical concepts. While SQL is a plus, the role emphasizes strong Excel proficiency. Growth Path: Starting as a junior analyst, you can progress to Senior Data Analyst, then to Analytics Lead or Product Analyst roles within 2‑3 years, based on performance and skill development. The company encourages certifications in data analytics and offers mentorship programs to accelerate career growth. Why Join Hubli Analytics? You will gain hands‑on experience with real client data, work in a flexible remote setting, and be part of a fast‑growing startup that values your ideas. The part‑time nature of the role allows you to balance studies or other commitments while building a solid foundation for a data‑analytics career.

Hubli Analytics 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 🎯
Hubli Analytics Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Hubli Analytics 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 (MS Excel, SQL, Data Cleaning, Data Analysis, Reporting, Dashboard Creation, Analytical Thinking, 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
Hubli Analytics 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 Hubli Analytics as a Data Analyst?
Preparation Tip: Highlight Hubli Analytics's market reputation, recent tech innovations, and how your skills in MS 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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