Data Analyst

StepChange’s interview process typically starts with a timed aptitude test focusing on quantitative, logical and data‑interpretation questions. The technical round includes Python coding, SQL queries and a mini‑case study related to sustainability data. The final HR round assesses cultural fit, communication skills and motivation. Overall difficulty is moderate; thorough preparation of data‑analysis fundamentals and clear articulation of project experiences are key.

Round 1: Online Aptitude Test → Round 2: Technical Interview (coding & case study) → Round 3: HR Interview

StepChange promotes a collaborative environment where ideas are shared openly and employees are encouraged to experiment. The company offers flexible working hours, regular knowledge‑sharing sessions, and a clear path for career advancement, ensuring a healthy work‑life balance.

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.

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.