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REQUIREMENT_ID_91 โ€ข 3-DAY_ACTIVE_POLICY

DATA ANALYST - JUNIOR EXECUTIVE

Company
Company Sansera
Type
Opportunity Type Internship
Salary
Stipend / Salary 4 LPA
Location
Location Bangalore, Karnataka
Posted Date
Posted Date Today
Power BI Microsoft Excel Data Cleaning Data Visualization Basic DAX Power Query Data Modelling Microsoft Office Analytical Thinking Problem Solving Communication Attention to Detail Team Collaboration Time Management
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Aptitude Practice Questions Open Resource โ†—
Curated aptitude problems to sharpen quantitative and logical reasoning skills needed for the initial screening at Sansera.
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Company Interview Preparation Guide Open Resource โ†—
Comprehensive guide covering typical interview formats, common questions, and preparation tips for roles like Data Analyst at Sansera.
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Comprehensive Interview Prep Resources Open Resource โ†—
A collection of interview experiences, mock questions, and study plans that help candidates perform well in Sansera's technical rounds.
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Algorithm & Data Structure Problem Set Open Resource โ†—
Practice problems to improve problemโ€‘solving abilities, useful for the technical assessment and case studies at Sansera.

Graduates with B.Com, BCA, B.Sc (Computer Science/Statistics/Mathematics) or any equivalent degree with strong analytical skills. Minimum 60% aggregate (or CGPA 6.0/10). Eligible batch years: 2025, 2026, 2027. No active backlogs at the time of joining. Candidates should have basic knowledge of Powerโ€ฏBI and Microsoft Excel.

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Round 1: Online aptitude & logical reasoning test
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Round 2: Technical interview focusing on Powerโ€ฏBI, DAX, data modelling and case studies
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Round 3: HR interview assessing cultural fit, communication and career aspirations
Sansera is a fastโ€‘growing technology and analytics services firm headquartered in Bangalore. With a focus on delivering dataโ€‘driven solutions to clients across retail, finance, and healthcare, the company has built a reputation for innovative thinking and a collaborative culture. Over the past few years, Sansera has expanded its footprint to multiple Indian cities and has been recognized for its employeeโ€‘first policies, continuous learning programs, and a strong emphasis on workโ€‘life balance. The organization encourages fresh talent to take ownership early, offering exposure to realโ€‘world projects that impact business decisions. The role of Junior Data Analyst โ€“ Executive is positioned within the Business Intelligence (BI) team. As a junior member, you will be responsible for turning raw data into actionable insights that help various business units make informed decisions. You will work closely with senior analysts, product managers, and operations teams to understand data requirements, build interactive visualisations, and automate reporting workflows. This position is ideal for recent graduates with a passion for data, a knack for visual storytelling, and a willingness to learn advanced BI tools. **Key Responsibilities** 1. Collect, clean, transform, and analyse data from multiple internal and external sources. 2. Design and develop interactive dashboards and reports using Powerโ€ฏBI. 3. Create and maintain robust Powerโ€ฏBI data models, including writing DAX measures. 4. Automate repetitive reporting tasks using Powerโ€ฏQuery and Powerโ€ฏAutomate where feasible. 5. Perform data validation checks to ensure accuracy, consistency, and reliability of datasets. 6. Collaborate with crossโ€‘functional teams (marketing, finance, operations) to understand analytical needs and deliver tailored solutions. 7. Document data pipelines, reporting logic, and dashboard usage guidelines. 8. Stay updated with the latest BI trends and suggest improvements to existing reporting frameworks. 9. Participate in knowledgeโ€‘sharing sessions and contribute to the teamโ€™s bestโ€‘practice repository. 10. Support senior analysts in adโ€‘hoc analytical requests and deepโ€‘dive investigations. **Tech Stack**: Powerโ€ฏBI, DAX, Powerโ€ฏQuery, Microsoft Excel, Powerโ€ฏAutomate, Powerโ€ฏApps (niceโ€‘toโ€‘have), SAP (niceโ€‘toโ€‘have), SQL basics. **Growth Path**: Starting as a Junior Executive, high performers can progress to Data Analyst, Senior Analyst, BI Lead, and eventually BI Manager or Analytics Consultant within 2โ€‘4 years, depending on skill acquisition and project impact. **Why Join Sansera?** The company offers a vibrant learning environment, mentorship from seasoned BI professionals, exposure to diverse industry domains, and a clear career progression roadmap. Freshers get the chance to work on live client projects from day one, gaining practical experience that accelerates professional growth.

Sansera โ€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC ๐Ÿ“–
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 โ†—
COMPANY GUIDE ๐ŸŽฏ
Sansera Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Sansera and off-campus tech roles.

Open Resource โ†—
MOCK TESTS & PAPERS ๐Ÿ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource โ†—
CODING PRACTICE ๐Ÿ’ป
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource โ†—
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 (Power BI, Microsoft Excel, Data Cleaning, Data Visualization, Basic DAX, Power Query, Data Modelling, Microsoft Office, Analytical Thinking, Problem Solving, Communication, Attention to Detail, Team Collaboration, Time Management) & 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
Sansera 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 โ–ผ
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 โ–ผ
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 โ–ผ
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 โ–ผ
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 โ–ผ
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 Sansera as a DATA ANALYST - JUNIOR EXECUTIVE?
Preparation Tip: Highlight Sansera's market reputation, recent tech innovations, and how your skills in Power BI 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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