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REQUIREMENT_ID_1650 β€’ 3-DAY_ACTIVE_POLICY

Intern - Energy Data Analytics

Company
Company IKEA
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 15,000 per month
Location
Location Bengaluru
Posted Date
Posted Date Yesterday
Data analysis Excel SQL Python Power BI Tableau Energy Management Systems Building Management Systems Statistical modeling Communication Problem solving
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Aptitude Practice Questions Open Resource β†—
Helps you prepare for the online aptitude test commonly used by IKEA for screening candidates.
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Company Interview Preparation Guide Open Resource β†—
Provides insights on typical interview formats and questions asked by large retailers like IKEA.
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General Interview Preparation Resources Open Resource β†—
Covers behavioural and technical interview strategies useful for securing an internship at IKEA.
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Algorithm & Data Structure Problem Set Open Resource β†—
Strengthens coding and problem‑solving skills that may be assessed during the technical round.

Graduates or final‑year students of B.Tech/B.E/M.Tech/M.Sc in Electrical Engineering, Mechanical Engineering, Energy Engineering, Data Science, Computer Science, or related fields. Minimum 60% aggregate (or CGPA 6.5/10). No active backlogs at the time of application. Candidates should be able to join full‑time for the internship duration (typically 3–6 months).

1
Round 1: Online Aptitude Test
2
Round 2: Technical Interview (focus on data analysis, energy concepts, and tools)
3
Round 3: HR Interview (culture fit, motivations, and behavioural questions)
IKEA is a globally recognized retailer known for its democratic design, affordable home furnishings, and a strong commitment to sustainability. In India, IKEA operates several large-format stores and a robust supply chain, aiming to create a better everyday life for millions of customers. The company’s culture emphasizes collaboration, inclusivity, and continuous learning, encouraging employees to bring their authentic selves to work and to experiment with new ideas. With a clear focus on environmental stewardship, IKEA has set ambitious goals to become climate positive, making sustainability a core pillar of its business strategy. The Energy Data Analytics Internship is a unique opportunity for fresh graduates or final‑year students to dive deep into the world of energy management within a retail environment. As an intern, you will work closely with the Sustainability and Facility Management teams to monitor, validate, and analyze energy consumption across multiple stores and facilities. You will gain hands‑on experience with Energy Management Systems (EMS), Building Management Systems (BMS), utility billing data, and smart‑meter feeds, translating raw data into actionable insights that drive cost savings and reduce carbon footprints. **Key Responsibilities** 1. Monitor, validate, and analyze electricity, water, diesel, solar, and utility consumption data. 2. Track energy performance indicators (KPIs) and key metrics across stores and facilities. 3. Analyze utility bills to spot anomalies, wastage, and cost‑saving opportunities. 4. Support the implementation and maintenance of EMS and BMS platforms. 5. Perform trend analysis, benchmarking, and forecasting of energy usage. 6. Calculate Energy Use Intensity (EUI), carbon emissions, and other sustainability metrics. 7. Coordinate with facility teams to investigate unusual consumption patterns. 8. Assist in renewable energy projects, including solar PV performance monitoring. 9. Contribute to energy audits, sustainability initiatives, and regulatory compliance activities. 10. Maintain energy databases ensuring data accuracy and integrity. **Tech Stack & Tools**: Python (pandas, numpy), SQL, Microsoft Excel, Power BI/Tableau for visualization, Energy Management System platforms, Building Management System interfaces, basic statistical modeling tools. **Growth Path**: Successful interns may be considered for full‑time roles such as Energy Analyst, Sustainability Analyst, or Data Analyst within IKEA’s global sustainability function. The experience also builds a strong foundation for careers in energy consulting, renewable energy project management, or corporate sustainability. **Why Join IKEA?**: Working at IKEA offers exposure to a purpose‑driven organization that values diversity, learning, and impact. Interns benefit from mentorship, cross‑functional collaboration, and the chance to contribute to real‑world sustainability projects that affect millions of customers. The inclusive culture, coupled with a clear focus on work‑life balance and personal development, makes IKEA an ideal launchpad for a career in energy analytics and sustainability.

IKEA 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 🎯
IKEA Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for IKEA 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 (Data analysis, Excel, SQL, Python, Power BI, Tableau, Energy Management Systems, Building Management Systems, Statistical modeling, Communication, 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
IKEA 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 IKEA as a Intern - Energy Data Analytics?
Preparation Tip: Highlight IKEA's market reputation, recent tech innovations, and how your skills in Data analysis 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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