Data Analyst - Power BI

Candidates typically face a three‑stage process: an online aptitude test, a technical interview focusing on Power BI dashboard creation, Python data manipulation, and SQL queries, followed by an HR round assessing communication, cultural fit, and career aspirations. The difficulty is moderate; thorough preparation on data visualization concepts and hands‑on Power BI projects greatly helps.

Renaissance Academy of Wisdom promotes a collaborative, learning‑first culture where employees are encouraged to experiment and share knowledge. The organization offers clear growth pathways, regular skill‑upgradation workshops, and a healthy work‑life balance with flexible timings.

Bachelor's degree in Statistics, Mathematics, Computer Science, Information Technology or any quantitative discipline; minimum 60% aggregate; batch year 2025‑2027; 0‑3 years of relevant experience; no active backlogs at the time of joining; strong analytical mindset and willingness to learn.

Round 1: Online aptitude & logical reasoning test → Round 2: Technical interview (Power BI, Python, SQL, case studies) → Round 3: HR interview (fit, communication, career goals)

Renaissance Academy of Wisdom is a fast‑growing educational institution that designs and delivers cutting‑edge learning programs across India. With a mission to empower students and professionals through skill‑based curricula, the academy has built a reputation for academic excellence, industry collaborations, and a strong focus on outcomes. The organization operates in multiple cities, fostering a culture of continuous learning, innovation, and social impact. Employees enjoy a collaborative environment where ideas are encouraged, and personal growth is supported through regular training, mentorship, and exposure to real‑world projects. The Data Analyst – Power BI role is a cornerstone of the academy’s data‑driven decision‑making engine. Reporting to the Head of Analytics, you will translate raw data from marketing, sales, curriculum, and operations into clear, actionable insights. Your work will directly influence program design, marketing spend, student acquisition strategies, and overall operational efficiency. You will be responsible for building interactive dashboards, automating data pipelines, and presenting findings to both technical and non‑technical stakeholders. Key Responsibilities: 1. Collect, clean, and integrate data from databases, spreadsheets, CRM, LMS, and web analytics tools. 2. Design, develop, and maintain Power BI dashboards that visualize KPIs such as enrollment trends, revenue per program, student satisfaction, and marketing ROI. 3. Perform statistical analysis and data mining to uncover patterns that guide program enhancements and marketing campaigns. 4. Write Python scripts to automate data extraction, transformation, and loading (ETL) processes, reducing manual effort by at least 30%. 5. Conduct ad‑hoc analysis for cross‑functional teams, answering business questions with clear visual and written reports. 6. Ensure data quality through validation checks, anomaly detection, and regular audits. 7. Collaborate with stakeholders to gather requirements, translate them into analytical solutions, and iterate based on feedback. 8. Present insights and recommendations in concise decks or live sessions, tailoring communication to audience expertise. 9. Document data models, dashboard logic, and standard operating procedures for future reference. 10. Stay updated with the latest features in Power BI, Python libraries, and analytics best practices. Tech Stack: Power BI, Python (pandas, numpy, matplotlib), SQL, Excel (advanced), Git for version control, and basic knowledge of cloud storage (Google Drive, AWS S3). Growth Path: Starting as a Data Analyst, you can progress to Senior Analyst, Analytics Lead, and eventually Head of Business Intelligence, with opportunities to lead cross‑functional data projects and influence strategic direction. Why Join: You will work in an impact‑driven environment where your analyses shape educational outcomes for thousands of learners. The academy offers continuous learning programs, a supportive mentorship culture, competitive compensation, and the chance to grow alongside a visionary team. Overall, this role blends technical rigor with business acumen, making it an ideal launchpad for ambitious freshers eager to build a career in data analytics.