Technology Stack Analyst

Round 1: Online assessment (aptitude, logical reasoning and basic data interpretation) → Round 2: Technical interview (focus on Excel, Power Platform, Python basics and data‑quality concepts) → Round 3: HR interview (fitment, communication and BGV discussion)

WSP promotes a collaborative and inclusive environment where engineers and analysts are encouraged to experiment and share knowledge. Employees enjoy a balanced hybrid work model, regular learning sessions and clear career progression pathways, making it a supportive place for fresh talent to grow.

The interview process at WSP via the Oracle portal usually starts with a timed online assessment covering quantitative aptitude and basic data‑interpretation. Successful candidates move to a technical interview where interviewers probe your knowledge of Excel, Power BI, Power Platform and Python, often through scenario‑based questions. The final HR round focuses on cultural fit, communication skills and clarification of background verification requirements.

Graduates with a Bachelor’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.

WSP is one of the world’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, low‑code development and emerging machine‑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 Python‑based validation scripts and model‑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 low‑code scheduling tools. 3. Translate business requirements into trigger‑based reporting workflows and scheduled outputs. 4. Identify, flag and document data quality issues, duplicates and missing records; drive data‑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 well‑documented. 6. Perform QA testing on new dashboards, automation scripts and low‑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 knowledge‑sharing sessions and contribute to continuous improvement of the reporting ecosystem. Tech Stack: Power BI, Power Apps, Power Automate, Microsoft Excel, Python, Jupyter notebooks, low‑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 WSP’s digital and data practice. Why Join WSP: You will work on high‑impact projects for global clients, gain hands‑on experience with cutting‑edge low‑code and data‑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.