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REQUIREMENT_ID_1801 โ€ข 3-DAY_ACTIVE_POLICY

Technology Stack Analyst

Company
Company WSP
Type
Opportunity Type Internship
Salary
Stipend / Salary 4-6 LPA
Location
Location Noida, Uttar Pradesh, India
Posted Date
Posted Date Today
Excel Power BI Power Apps Power Automate Python Jupyter notebooks data analysis lowโ€‘code development attention to detail problem solving
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Firstโ€‘hand accounts of candidates who have cleared Oracle hiring rounds, useful for preparing your own interview strategy.
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Extensive problem set to sharpen coding and logical reasoning skills, essential for the technical assessment stage.

Graduates with a Bachelorโ€™s degree in Data Analytics, Computer Science, Information Systems, Electronics & Communication, or related engineering streams. Minimum 60% aggregate (or CGPA 6.0/10). Final year students of the 2025 or 2026 batch are eligible. No active backlogs at the time of joining. Internships or project experience in data reporting, Power Platform or Python is preferred.

1
Round 1: Online assessment (aptitude, logical reasoning and basic data interpretation)
2
Round 2: Technical interview (focus on Excel, Power Platform, Python basics and dataโ€‘quality concepts)
3
Round 3: HR interview (fitment, communication and BGV discussion)
WSP is one of the worldโ€™s leading professional services consulting firms, delivering engineering, design and advisory solutions across transportation, infrastructure, environment, power, and resources. With a heritage of more than 70 years, WSP combines local expertise with a global footprint of over 73,000 professionals in 550 offices across 40 countries. In India, WSP operates from Noida, Bengaluru and Mumbai, serving both multinational clients and large domestic projects, and is known for its commitment to sustainable development, innovation and inclusive culture. The Noida office of WSP India is a hub for digital transformation initiatives that support the US Strategic Growth Team. The Technology Stack Analyst role sits at the intersection of data analysis, lowโ€‘code development and emerging machineโ€‘learning workflows. The incumbent will help improve data quality, build automated reporting pipelines, and create internal tools using the Microsoft Power Platform, while gaining exposure to Pythonโ€‘based validation scripts and modelโ€‘driven processes. Key Responsibilities: 1. Build and maintain automated dashboards and reports that surface data gaps, anomalies and completeness metrics across core systems such as Horizon. 2. Design repeatable reporting pipelines that track data accuracy, coverage and timeliness, using Power BI and lowโ€‘code scheduling tools. 3. Translate business requirements into triggerโ€‘based reporting workflows and scheduled outputs. 4. Identify, flag and document data quality issues, duplicates and missing records; drive dataโ€‘cleansing initiatives through targeted reports. 5. Support the creation and enhancement of internal tools on Power Apps and Power Automate, ensuring they meet user needs and are wellโ€‘documented. 6. Perform QA testing on new dashboards, automation scripts and lowโ€‘code solutions before production rollout. 7. Execute simple Python notebooks or scripts for data validation, transformation and basic analytics. 8. Conduct exploratory data analysis to highlight trends, outliers and gaps that inform business decisions. 9. Collaborate with technology stack leadership and US business lines to align reporting logic with evolving data requirements. 10. Participate in knowledgeโ€‘sharing sessions and contribute to continuous improvement of the reporting ecosystem. Tech Stack: Power BI, Power Apps, Power Automate, Microsoft Excel, Python, Jupyter notebooks, lowโ€‘code scripting, basic SQL (optional). Growth Path: Starting as a Technology Stack Analyst, high performers can progress to Senior Analyst, then to Consultant or Business Analyst roles, eventually moving into Managerial or Solution Architect positions within WSPโ€™s digital and data practice. Why Join WSP: You will work on highโ€‘impact projects for global clients, gain handsโ€‘on experience with cuttingโ€‘edge lowโ€‘code and dataโ€‘science tools, and benefit from a culture that values diversity, continuous learning and sustainable outcomes. The hybrid work model offers flexibility while keeping you connected to a vibrant, collaborative team.

WSP 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
WSP Interview Preparation Corner

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

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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 (Excel, Power BI, Power Apps, Power Automate, Python, Jupyter notebooks, data analysis, lowโ€‘code development, attention to detail, 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
WSP 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 WSP as a Technology Stack Analyst?
Preparation Tip: Highlight WSP's market reputation, recent tech innovations, and how your skills in 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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