Junior Data Analyst

Candidates typically face a three‑stage process. The first stage is a timed aptitude test covering quantitative, logical and verbal abilities. The technical round dives deep into SQL, Python/R, and data‑visualisation scenarios, often with a mini‑case study. The final HR round assesses communication skills, cultural fit and motivation. Preparing with SQL fundamentals and dashboard tools greatly improves performance.

Hypersonix promotes a collaborative, data‑driven culture where employees are encouraged to experiment with emerging AI technologies. The company offers flexible remote work, regular knowledge‑sharing sessions, and clear career progression paths, ensuring a good work‑life balance.

Graduates (B.Tech/B.E, MCA, M.Sc) in Computer Science, Information Technology, Electronics, Statistics, Mathematics or related streams. Minimum 60% aggregate in the qualifying degree. Eligible batches: 2024, 2025, 2026. No active backlogs. Freshers are welcome.

Round 1: Online Aptitude Test (Logical Reasoning, Quantitative, Verbal) → Round 2: Technical Interview (SQL queries, Python/R coding, data‑visualisation case study) → Round 3: HR Interview (fitment, communication, salary expectations)

Hypersonix is a fast‑growing Indian analytics and AI solutions provider that helps enterprises build data‑driven products. Founded by a team of seasoned data scientists and engineers, the company focuses on end‑to‑end data pipelines, advanced analytics, and machine‑learning services for clients across retail, e‑commerce, and logistics. With a culture that encourages experimentation and continuous learning, Hypersonix has quickly become a preferred destination for fresh talent looking to work on real‑world data problems while enjoying the flexibility of remote work. The Junior Data Analyst role is designed for recent graduates who are passionate about turning raw data into actionable insights. Reporting to the Implementation team, you will collaborate with customers, data engineers, and data scientists to develop data warehouses, build analytical dashboards, and surface machine‑learning outcomes in a clear, business‑focused manner. This position offers exposure to the full analytics lifecycle—from data ingestion and profiling to visualization and insight delivery—making it an ideal launchpad for a career in data analytics or data science. Key Responsibilities: 1. Translate business requirements into analytical deliverables such as interactive dashboards and insight reports. 2. Perform data exploration, profiling, and assist the data engineering team in designing robust data models. 3. Mentor and train junior analysts, fostering a knowledge‑sharing environment. 4. Coordinate with data engineering and data science teams to validate data against client control totals and perform analytical QA on model outputs. 5. Capture client requirements from BRDs and work closely with product managers to refine them. 6. Review analytical outputs, synthesize findings, and present actionable insights to customers. 7. Leverage domain knowledge to build intelligent dashboards that drive strategic decisions. 8. Independently manage project timelines, budgets, and scope while seeking support when needed. 9. Maintain strong verbal and written communication to convey complex technical concepts to non‑technical stakeholders. 10. Stay updated with emerging BI tools and AI/ML concepts to continuously improve solution quality. Tech Stack: SQL, Python or R for data extraction and analysis, BI tools such as Tableau/Power BI, data‑warehouse concepts (Snowflake, Redshift), basic statistical modelling, and version‑control (Git). Growth Path: Junior Data Analyst → Data Analyst → Senior Data Analyst → Data Scientist / Analytics Lead, with opportunities to specialize in machine learning, data engineering, or product analytics. Why Join Hypersonix: The company offers a fully remote work model, exposure to cutting‑edge AI projects, mentorship from senior data scientists, and a clear career progression roadmap. Employees benefit from regular learning sessions, hackathons, and a supportive culture that values innovation and work‑life balance.