Data Analyst (Remote)

Candidates typically face three rounds: a timed online aptitude test, a technical interview focusing on statistical concepts, data manipulation, and SQL/Python coding, followed by an HR interview assessing cultural fit. The difficulty is moderate; thorough preparation of core analytics topics and clear communication of past projects greatly improve success chances.

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (Data analysis, SQL, Python, statistical concepts) → Round 3: HR Interview (fitment, motivation, salary expectations)

Hirecrap promotes a flexible, remote‑first work culture that values autonomy and continuous learning. Employees enjoy a flat hierarchy, regular knowledge‑sharing sessions, and clear growth opportunities. The company emphasizes work‑life balance through flexible timings and a supportive team environment.

Graduates (B.Tech/B.E., B.Sc., B.Com) in Statistics, Mathematics, Computer Science, Engineering, Economics or related fields with a minimum of 60% aggregate. Freshers from the 2024, 2025 or 2026 graduating batches are eligible. No active backlogs at the time of application. Strong analytical mindset and basic knowledge of statistical concepts are required.

Hirecrap is an emerging technology-driven recruitment platform that focuses on connecting fresh talent with innovative companies across India. Founded by a group of alumni from top engineering institutes, the company has quickly built a reputation for leveraging data analytics and AI to streamline hiring processes. With a lean but dynamic team, Hirecrap encourages a culture of continuous learning, where employees are given ownership of projects and the freedom to experiment with new tools. The organization promotes a remote‑first mindset, allowing its workforce to collaborate across geographies while maintaining a strong sense of community through regular virtual meet‑ups and knowledge‑sharing sessions. As a Data Analyst (Remote) at Hirecrap, you will be at the heart of the decision‑making engine. You will work closely with product managers, engineers, and the AI research team to transform raw data into actionable insights that drive product enhancements and improve candidate matching algorithms. Your day‑to‑day responsibilities will involve extracting, cleaning, and visualizing large datasets, applying statistical techniques to evaluate model performance, and presenting findings in a clear, business‑friendly manner. This role offers a unique blend of analytical rigor and storytelling, making it ideal for fresh graduates who are eager to apply their academic knowledge to real‑world problems. Key Responsibilities: 1. Collect, clean, and preprocess data from multiple sources including databases, APIs, and CSV files. 2. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 3. Develop and maintain dashboards using Tableau or PowerBI for senior leadership. 4. Conduct statistical tests and hypothesis testing to validate product features. 5. Benchmark AI model performance using metrics such as precision, recall, F1‑score, and ROC‑AUC. 6. Prepare concise reports and visual presentations for non‑technical stakeholders. 7. Collaborate with engineering to design data pipelines and ensure data quality. 8. Automate repetitive analysis tasks using Python or R scripts. 9. Stay updated with emerging analytics tools and suggest improvements to existing workflows. 10. Participate in cross‑functional brainstorming sessions to translate business problems into analytical solutions. Tech Stack: SQL, Python (pandas, NumPy, scikit‑learn), R, Excel, Tableau, PowerBI, Git. Growth Path: Junior Data Analyst → Senior Data Analyst → Data Scientist → Analytics Manager → Head of Analytics. Why Join Hirecrap: The role offers full remote flexibility, exposure to cutting‑edge AI models, and the chance to influence hiring technology at scale. Freshers receive mentorship from seasoned data professionals and have access to a library of learning resources to accelerate their career. The company’s performance‑driven culture rewards innovation and provides clear pathways for advancement.