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JD #2370
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Data Analyst

Nvent

  • Bangalore, IN
  • 6-9 LPA
  • Fresher (0-1 Yrs)
  • Posted Yesterday
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About the role

nVent is a global leader in providing innovative electrical and mechanical solutions for a wide range of industries, including data centers, industrial automation, and building infrastructure. With a strong presence in over 100 countries, the company focuses on delivering high‑performance products that enhance safety, reliability, and efficiency. nVent’s culture encourages continuous learning, cross‑functional collaboration, and a commitment to sustainability, making it an attractive destination for fresh engineering talent. The Data Analyst role at nVent’s Bangalore office is positioned within the Pricing & Commercial Analytics team. As a fresh graduate, you will be responsible for turning raw data into actionable insights that drive pricing strategies, revenue optimization, and market competitiveness. You will work closely with product managers, finance, and sales teams to understand business problems, design analytical solutions, and communicate findings in a clear, business‑focused manner. Key Responsibilities: 1. Collect, clean, and transform large datasets from internal systems and external sources. 2. Develop interactive dashboards and visualizations using Tableau to monitor pricing performance. 3. Write complex SQL queries and Python scripts to extract and analyze data. 4. Deploy analytical models on Snowflake, ensuring scalability and performance. 5. Conduct ad‑hoc analysis to support pricing decisions, discount approvals, and market entry strategies. 6. Collaborate with cross‑functional stakeholders to define metrics, KPIs, and reporting standards. 7. Document analytical processes, data lineage, and business logic for knowledge sharing. 8. Identify data quality issues and propose remediation plans. 9. Stay updated with industry trends, competitive pricing tactics, and emerging analytics tools. 10. Participate in continuous improvement initiatives to enhance data pipelines and reporting efficiency. Tech Stack: Tableau, SQL, Python, Snowflake, Git, Java (optional), Excel, PowerBI (nice to have). Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, Analytics Lead, or Product Analyst roles within 2‑3 years. The company also offers rotational programs across finance, product, and operations, enabling a broad skill set and leadership exposure. Why Join nVent? You will be part of a forward‑thinking organization that values data‑driven decision making. Freshers receive mentorship from seasoned analysts, access to cutting‑edge tools, and opportunities to work on real‑world pricing challenges that directly impact the bottom line. The Bangalore office offers a vibrant work environment, flexible working hours, and a strong emphasis on work‑life balance, making it an ideal place to launch your analytics career.

Eligibility & process

Who can apply

Bachelor’s degree in Computer Science, Engineering, Data Science, Finance, Economics or related field; Minimum 60% aggregate (or CGPA 6.0/10); No active backlogs; Graduation batch 2024‑2026; Freshers eligible; Strong analytical mindset and communication skills required.

Skills & stack

Tableau SQL Python Snowflake Java Git Data Visualization Interpersonal Skills

Selection process

  1. Round 1: Online Aptitude Test
  2. Round 2: Technical Interview (SQL/Python/Case Study)
  3. Round 3: HR Interview

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
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 (Tableau, SQL, Python, Snowflake, Java, Git, Data Visualization, Interpersonal Skills) & 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 Nvent Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
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
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
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
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
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.
Behavioural & HR questions 3
Why do you want to join Nvent as a Data Analyst?
Highlight Nvent's market reputation, recent tech innovations, and how your skills in Tableau directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
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?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Nvent 6-9 LPA
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