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REQUIREMENT_ID_220 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst

Company
Company StepChange
Type
Opportunity Type Internship
Salary
Stipend / Salary β‚Ή8.5–10 LPA
Location
Location Bengaluru
Posted Date
Posted Date Today
Python SQL Data Cleaning Data Visualization Statistics Machine Learning basics Excel Problem Solving Communication
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Aptitude Practice Questions Open Resource β†—
Helps you sharpen quantitative and logical reasoning skills essential for the online test.
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Company Interview Preparation Guide Open Resource β†—
Provides insights into typical interview formats and common questions asked by tech firms.
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StepChange Data Analyst Interview Guide Open Resource β†—
Specific preparation material covering role‑specific topics and sample problems for StepChange.
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Algorithm Practice Problems Open Resource β†—
Offers a wide range of coding challenges to improve problem‑solving speed for technical rounds.

Graduates with a B.Tech/B.E., B.Sc., B.Com, MCA or equivalent in Computer Science, Information Technology, Statistics, Mathematics, Economics or related fields. Minimum 60% aggregate (or CGPA 6.5/10). Final year students of the 2023‑2026 batches are eligible. No active backlogs at the time of joining. Strong analytical mindset and willingness to learn are essential.

1
Round 1: Online Aptitude Test
2
Round 2: Technical Interview (coding & case study)
3
Round 3: HR Interview
StepChange is an emerging technology firm focused on building data‑driven sustainability solutions for enterprises across India. Founded by a group of environmental scientists and software engineers, the company leverages advanced analytics, machine learning and domain expertise to help clients measure, monitor and reduce their carbon footprints. With its headquarters in Bengaluru, StepChange has quickly grown into a vibrant workplace that encourages innovation, cross‑functional collaboration and a strong sense of purpose. The organization prides itself on a flat hierarchy, rapid decision‑making and a culture that rewards curiosity and impact. As a Data Analyst at StepChange, you will be at the heart of the product development lifecycle, turning raw, heterogeneous data into actionable insights that power the company’s sustainability models. You will work closely with data engineers, product managers and domain experts to design pipelines, develop analytical scripts, and present findings to both internal stakeholders and external clients. This role offers a unique blend of technical rigor and real‑world impact, making it an ideal launchpad for fresh graduates eager to apply their analytical skills to a cause that matters. Key Responsibilities: 1. Design, develop, and maintain standalone scripts and automated systems for data cleaning, transformation, and visualization. 2. Build and support end‑to‑end data pipelines that feed the sustainability modeling platform. 3. Conduct exploratory data analysis to uncover patterns, trends, and anomalies relevant to environmental metrics. 4. Apply statistical methods and machine learning algorithms to develop predictive and prescriptive models. 5. Evaluate and benchmark different data extraction techniques, algorithms, and tools for efficiency and accuracy. 6. Collaborate with product teams to translate business requirements into technical specifications. 7. Prepare clear, concise reports and dashboards that communicate insights to non‑technical audiences. 8. Stay updated with emerging technologies in data science, cloud computing, and sustainability analytics. 9. Participate in code reviews and contribute to best‑practice documentation. 10. Assist in research initiatives aimed at enhancing the scientific robustness of the platform. Tech Stack: Python (pandas, NumPy, scikit‑learn), SQL, Tableau/PowerBI, Git, AWS (S3, Lambda, Redshift), Docker, and basic knowledge of GIS tools. Growth Path: Starting as an Analyst, high performers can progress to Senior Analyst, Data Scientist, and eventually Lead Analytics or Product Owner roles, with opportunities to specialize in climate analytics or machine‑learning engineering. Why Join StepChange? You will work on cutting‑edge sustainability projects that have tangible environmental impact, receive mentorship from seasoned data scientists, and enjoy a collaborative, purpose‑driven culture that values continuous learning and work‑life balance.

StepChange 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 🎯
StepChange Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for StepChange 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 (Python, SQL, Data Cleaning, Data Visualization, Statistics, Machine Learning basics, Excel, Problem Solving, Communication) & 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
StepChange 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 StepChange as a Data Analyst?
Preparation Tip: Highlight StepChange's market reputation, recent tech innovations, and how your skills in Python 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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