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REQUIREMENT_ID_263 β€’ 3-DAY_ACTIVE_POLICY

BI & Analytics Engineer

Company
Company Expoundtechnivo
Type
Opportunity Type Internship
Salary
Stipend / Salary 4 LPA
Location
Location Mumbai, Maharashtra
Posted Date
Posted Date Today
Power BI Tableau SAP Analytics Cloud Metabase SQL Data Modeling ETL Data Visualization Business Analytics Problem Solving
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Aptitude Practice Questions Open Resource β†—
Helps you prepare for the online aptitude test commonly used by Expound Technivo for screening candidates.
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Company Interview Preparation Guide Open Resource β†—
Provides insights into typical interview patterns and questions asked by Indian tech firms, useful for the technical round.
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Interview Preparation Resources Open Resource β†—
Offers curated notes and mock interview questions to boost confidence before the HR discussion.
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Algorithm and Data Structure Problems Open Resource β†—
Strengthens problem‑solving skills essential for technical assessments involving SQL and data manipulation.

Bachelor's degree in Computer Science, Information Technology, Electronics, or any related engineering discipline; Minimum 60% aggregate (or CGPA 6.0/10); Fresh graduates of 2024‑2026 batches; No active backlogs at the time of joining; Strong analytical mindset and willingness to learn BI tools.

1
Round 1: Online Aptitude Test
2
Round 2: Technical Interview (SQL, BI tool concepts, case study)
3
Round 3: HR Interview
Expound Technivo is a fast‑growing Indian IT services firm that began in 2018 as a group of technology enthusiasts. Over the past few years the company has built a strong reputation as a SAP Gold Partner, delivering end‑to‑end digital transformation projects for clients across sectors such as oil & gas, manufacturing, healthcare, media, and retail. With a workforce of more than 250 SAP specialists, Expound Technivo blends deep domain expertise with modern cloud platforms like AWS, Azure, and SAP Business Technology Platform (BTP) to help enterprises migrate, upgrade, and innovate on the cloud. The firm’s culture is rooted in creativity, diversity, and collaboration, encouraging employees to experiment with new tools and frameworks while delivering real business value. The BI & Analytics Engineer role sits at the heart of Expound Technivo’s data‑driven initiatives. As a fresher, you will work closely with senior consultants and business analysts to turn raw data into actionable insights for both internal stakeholders and external clients. You will be responsible for gathering data from heterogeneous sources, cleaning and modeling it, and building interactive visualisations that drive strategic decisions. The position offers exposure to a suite of industry‑leading tools such as Power BI, Tableau, SAP Analytics Cloud (SAC), Metabase, and SQL‑based data warehouses, making it an ideal launchpad for a career in business intelligence. **Key Responsibilities** 1. Extract, clean, and transform data from ERP, CRM, and third‑party systems using SQL and ETL best practices. 2. Design and develop interactive dashboards and reports in Power BI, Tableau, SAC, and Metabase. 3. Automate data pipelines to ensure timely refresh of analytical datasets. 4. Collaborate with product and consulting teams to capture reporting requirements and translate them into technical specifications. 5. Conduct exploratory data analysis to uncover trends, anomalies, and growth opportunities. 6. Optimize data models for performance and scalability. 7. Prepare documentation and user guides for dashboard consumers. 8. Participate in code reviews and knowledge‑sharing sessions within the analytics community. 9. Stay updated with emerging BI tools and cloud‑based analytics services. 10. Support ad‑hoc analytical requests from senior leadership. **Tech Stack**: SQL, Power BI, Tableau, SAP Analytics Cloud, Metabase, Azure/AWS, basic Python for data manipulation, Git for version control. **Growth Path**: Starting as a BI & Analytics Engineer, high performers can progress to Senior Analyst, Analytics Lead, and eventually to Solution Architect or Product Manager roles, with opportunities to specialize in SAP analytics, cloud data engineering, or data science. **Why Join Expound Technivo?** The company offers a vibrant learning environment, mentorship from seasoned SAP and cloud experts, and a clear roadmap for career advancement. Freshers gain hands‑on experience on real client projects, exposure to cutting‑edge cloud technologies, and the chance to contribute to transformative digital initiatives across diverse industries.

Expoundtechnivo 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 🎯
Expoundtechnivo Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Expoundtechnivo 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 (Power BI, Tableau, SAP Analytics Cloud, Metabase, SQL, Data Modeling, ETL, Data Visualization, Business Analytics, 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
Expoundtechnivo 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 Expoundtechnivo as a BI & Analytics Engineer?
Preparation Tip: Highlight Expoundtechnivo'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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