Data Analyst

Superwork's interview process starts with a timed aptitude test, followed by a technical interview that focuses on Python scripting, SQL queries and data‑analysis scenarios. The final HR round assesses cultural fit and communication skills. Candidates should practice data‑manipulation tasks and review core analytics concepts to succeed.

Superwork promotes a results‑oriented remote culture where autonomy and accountability go hand‑in‑hand. Employees enjoy flexible timings, regular virtual team‑building activities, and clear pathways for skill advancement, ensuring a healthy work‑life balance.

Graduates (B.Tech/B.E, B.Sc, B.Com, MCA, MSc) from any stream with minimum 60% aggregate (or CGPA 6.0/10). Must belong to the 2023, 2024, or 2025 batch. No active backlogs at the time of joining. Strong analytical mindset and willingness to learn are essential.

Round 1: Timed online aptitude test (logical reasoning, quantitative aptitude, basic English) → Round 2: Technical interview (Python scripting, SQL queries, data‑analysis concepts) → Round 3: HR interview (cultural fit, communication skills, salary expectations)

Superwork is an emerging technology‑driven firm that focuses on delivering data‑centric solutions to clients across e‑commerce, fintech, and logistics sectors. Founded by a group of analytics enthusiasts, the company has quickly built a reputation for leveraging modern data pipelines to drive actionable insights. With a fully remote workforce, Superwork encourages a culture of autonomy, continuous learning, and merit‑based growth, making it an attractive destination for fresh talent looking to start their analytics career. As a Data Analyst (Fresher) at Superwork, you will be at the heart of the data‑value chain. You will work closely with senior analysts and product managers to transform raw, heterogeneous data into clean, consumable formats, and then translate those datasets into visual stories that influence business decisions. The role offers exposure to end‑to‑end analytics workflows, from data ingestion to dashboard delivery, and provides a solid foundation for moving into advanced analytics or data‑science tracks. Key Responsibilities: 1. Collect, clean, and preprocess raw data from multiple sources using Python and SQL. 2. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 3. Develop interactive dashboards and visualizations using Power BI and Tableau. 4. Generate periodic reports in MS‑Excel, highlighting key performance indicators for stakeholders. 5. Assist senior analysts in building predictive models and basic machine‑learning pipelines. 6. Document data workflows, transformation logic, and analytical findings. 7. Participate in daily stand‑ups and sprint planning sessions within the agile framework. 8. Continuously learn and apply new data‑analysis techniques, tools, and best practices. 9. Support the data‑quality team in identifying and rectifying data integrity issues. 10. Contribute to knowledge‑base articles and internal training sessions for peer learning. Tech Stack: Python (pandas, NumPy), SQL (MySQL/PostgreSQL), Power BI, Tableau, MS‑Excel, Git, basic machine‑learning libraries (scikit‑learn). The environment is cloud‑friendly, with data stored in AWS S3 and processed via AWS Athena. Growth Path: Starting as a junior analyst, you can progress to Senior Analyst, Analytics Lead, and eventually into Data‑Science or Product Analytics roles, depending on performance and up‑skilling. Superwork supports certifications (e.g., Power BI, Tableau) and offers internal mentorship programs. Why Join Superwork? The company offers a competitive entry‑level salary (7.25‑8 LPA), a fully remote setup that respects work‑life balance, and a clear roadmap for skill development. Fresh graduates get the chance to work on real‑world projects from day one, collaborate with experienced professionals, and build a portfolio that stands out in the Indian job market.