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REQUIREMENT_ID_1604 β€’ 3-DAY_ACTIVE_POLICY

Remote Data Analyst – Marathi Speaker

Company
Company Peroptyx
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary β‚Ή3.6–7 LPA
Location
Location Remote – India
Posted Date
Posted Date Oct 06, 2026
Data Analysis Geographic Information Systems (GIS) Excel SQL Attention to Detail Marathi Language Proficiency Communication Time Management Problem Solving
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Aptitude and Reasoning Practice Open Resource β†—
Helps sharpen logical thinking and problem‑solving skills essential for data validation tasks.
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Interview Preparation Guide Open Resource β†—
Provides strategies for tackling technical and behavioral questions during the hiring process.
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Peroptyx Data Analyst Interview Insights Open Resource β†—
Offers insights into the specific interview format and common questions for this role.
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Coding and Problem Solving Practice Open Resource β†—
Enhances coding proficiency and algorithmic thinking useful for technical assessments.

Bachelor’s degree in any discipline with a minimum of 60% marks, no backlogs, fresher eligible, and proficiency in Marathi language required.

1
Round 1: Online Screening
2
Round 2: Technical Assessment
3
Round 3: HR Interview
Peroptyx is a forward‑thinking technology company that specializes in digital mapping and location intelligence solutions. With a mission to provide accurate, real‑time map data for businesses and consumers alike, the company has rapidly expanded its product portfolio to include advanced navigation, geospatial analytics, and AI‑driven mapping services. Operating from a fully remote model, Peroptyx empowers its employees to work from anywhere in India, fostering a culture of flexibility, autonomy, and continuous learning. The Remote Data Analyst – Marathi Speaker role is tailored for fresh graduates who are passionate about data quality and possess strong Marathi language skills. As a data analyst, you will be the first line of defense in ensuring that the map data delivered to end users is accurate, reliable, and up‑to‑date. Your day‑to‑day responsibilities will include validating business listings, checking opening hours, verifying navigation routes, and measuring distance accuracy. You will also conduct research to identify gaps in the data and propose improvements, thereby directly enhancing the user experience. Key responsibilities include: 1. Providing ground truth for mapping data specific to your region. 2. Reviewing digital mapping application data for accuracy. 3. Validating navigation routes for safety and correctness. 4. Verifying business names and operating hours. 5. Checking distance accuracy between points. 6. Enhancing user experience through precise map data. 7. Planning work around a flexible schedule, including weekends or late evenings. 8. Performing research to validate and improve mapping data. 9. Collaborating with cross‑functional teams to resolve data discrepancies. 10. Documenting findings and suggesting process improvements. The tech stack you will work with includes GIS tools, Excel, SQL databases, and basic scripting for data validation. Growth opportunities are abundant: you can progress to Senior Data Analyst, Lead Data Analyst, or even product management roles within the mapping domain. Why join Peroptyx? The company offers a competitive salary range, a fully remote work environment, flexible hours, and a supportive team that values innovation and personal growth. If you are a fresher looking to kick‑start a career in data analysis with a focus on geospatial intelligence, this role provides the perfect platform to learn, contribute, and advance.

Peroptyx 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 🎯
Peroptyx Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Peroptyx 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 (Data Analysis, Geographic Information Systems (GIS), Excel, SQL, Attention to Detail, Marathi Language Proficiency, Communication, Time Management, 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
Peroptyx 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 Peroptyx as a Remote Data Analyst – Marathi Speaker?
Preparation Tip: Highlight Peroptyx's market reputation, recent tech innovations, and how your skills in Data Analysis 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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