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REQUIREMENT_ID_263 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst – Trainee / Junior Executive

Company
Company Sansera
Type
Opportunity Type Internship
Salary
Stipend / Salary β‚Ή4 LPA
Location
Location Bengaluru, Karnataka
Posted Date
Posted Date Sep 12, 2026
SQL Python Data Visualization Statistics Excel Analytical Thinking Problem Solving Communication Attention to Detail
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Aptitude Practice Questions Open Resource β†—
Comprehensive aptitude problems to sharpen logical reasoning and quantitative skills essential for the initial screening at Sansera.
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Company Interview Preparation Guide Open Resource β†—
Curated interview questions and answers that help candidates understand typical queries asked by engineering firms like Sansera.
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Comprehensive Interview Prep Resources Open Resource β†—
A collection of interview experiences, tips, and mock questions useful for tackling technical and HR rounds at Sansera.
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Algorithm & Data Structure Problem Set Open Resource β†—
Practice coding problems to improve problem‑solving speed and accuracy, valuable for technical assessments at Sansera.

Graduates with B.Tech/B.E., B.Sc., B.Com, MCA, or MBA in Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields. Minimum aggregate of 60% (or CGPA 6.0/10). Final year students of 2025, 2026, or 2027 batches are eligible. No active backlogs at the time of joining; maximum one backlog allowed at the time of application, which must be cleared before the joining date.

1
Round 1: Online Aptitude & Logical Reasoning Test
2
Round 2: Technical Interview (SQL/Python & Data Analysis concepts)
3
Round 3: HR Interview (fitment, communication & career aspirations)
Sansera Engineering Limited is a leading engineering solutions provider in India, known for its strong focus on innovation, sustainability, and client‑centric services. Established over two decades ago, the company has built a robust portfolio across sectors such as infrastructure, energy, and manufacturing, delivering end‑to‑end engineering, procurement, and construction (EPC) solutions. With a workforce of more than 2,000 professionals, Sansera emphasizes continuous learning, collaborative problem‑solving, and a culture that rewards merit and creativity. The organization’s commitment to digital transformation has led to the creation of dedicated analytics teams that turn complex data into actionable insights for both internal stakeholders and external clients. The Data Analyst – Trainee / Junior Executive role is designed for fresh graduates who are eager to start their career in data analytics within a dynamic engineering environment. As a junior member of the analytics team, you will work closely with senior analysts, project managers, and domain experts to collect, clean, and interpret data that drives strategic decisions. This position offers hands‑on exposure to real‑world projects, allowing you to apply statistical techniques, develop visual dashboards, and contribute to data‑driven process improvements across the company’s operations. Key Responsibilities: 1. Gather, cleanse, and validate data from multiple sources including ERP systems, IoT sensors, and spreadsheets. 2. Perform exploratory data analysis to identify trends, patterns, and anomalies. 3. Develop and maintain interactive dashboards using tools like Power BI or Tableau. 4. Create standard and ad‑hoc reports for senior management and project teams. 5. Assist in building predictive models using statistical methods and machine‑learning algorithms. 6. Document data pipelines, analytical methodologies, and findings in clear, concise formats. 7. Collaborate with cross‑functional teams to understand business requirements and translate them into analytical solutions. 8. Ensure data quality and compliance with company data‑governance policies. 9. Participate in knowledge‑sharing sessions and continuous‑learning workshops. 10. Support the automation of repetitive reporting tasks through scripting and macro development. Tech Stack: SQL, Python (pandas, numpy, scikit‑learn), Power BI/Tableau, Excel, Git, basic knowledge of cloud platforms (AWS/Azure). Growth Path: Starting as a trainee, high performers can progress to Data Analyst, Senior Analyst, and eventually to Analytics Lead or Data Science roles within 2‑4 years, with opportunities to lead critical projects and mentor new hires. Why Join Sansera? The company offers a vibrant work environment where fresh talent is nurtured through structured training, mentorship, and exposure to large‑scale engineering projects. Competitive compensation, a clear career ladder, and a culture that values innovation make Sansera an ideal launchpad for aspiring data professionals.

Sansera 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 🎯
Sansera Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Sansera 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, Data Visualization, Statistics, Excel, Analytical Thinking, Problem Solving, Communication, Attention to Detail) & 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 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 Sansera as a Data Analyst – Trainee / Junior Executive?
Preparation Tip: Highlight Sansera'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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