Data Analyst
Nvent
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 highβperformance products that enhance safety, reliability, and efficiency. nVentβs culture encourages continuous learning, crossβfunctional collaboration, and a commitment to sustainability, making it an attractive destination for fresh engineering talent.
The Data Analyst role at nVentβs 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, businessβfocused manner.
Key Responsibilities
- Collect, clean, and transform large datasets from internal systems and external sources.
- Develop interactive dashboards and visualizations using Tableau to monitor pricing performance.
- Write complex SQL queries and Python scripts to extract and analyze data.
- Deploy analytical models on Snowflake, ensuring scalability and performance.
- Conduct adβhoc analysis to support pricing decisions, discount approvals, and market entry strategies.
- Collaborate with crossβfunctional stakeholders to define metrics, KPIs, and reporting standards.
- Document analytical processes, data lineage, and business logic for knowledge sharing.
- Identify data quality issues and propose remediation plans.
- Stay updated with industry trends, competitive pricing tactics, and emerging analytics tools.
- 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 2β3 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 forwardβthinking organization that values dataβdriven decision making. Freshers receive mentorship from seasoned analysts, access to cuttingβedge tools, and opportunities to work on realβworld pricing challenges that directly impact the bottom line.
The Bangalore office offers a vibrant work environment, flexible working hours, and a strong emphasis on workβlife balance, making it an ideal place to launch your analytics career.
Eligibility & process
Who can apply
Bachelorβs 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 2024β2026; Freshers eligible; Strong analytical mindset and communication skills required.
Skills & stack
Selection process
- Round 1: Online Aptitude Test
- Round 2: Technical Interview (SQL/Python/Case Study)
- Round 3: HR Interview
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight Nvent's market reputation, recent tech innovations, and how your skills in Tableau directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.