Data Analyst (Remote)

Candidates typically face a three‑stage process: an initial timed aptitude test, followed by a technical interview that dives deep into statistics, data visualization tools, and AI benchmarking concepts, and finally an HR round assessing cultural fit and communication. The difficulty is moderate; thorough preparation on statistical methods and clear articulation of past projects greatly improve success chances.

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (focus on statistics, data visualization, AI benchmarking) → Round 3: HR Interview (cultural fit, communication skills)

Hirecrap.com promotes a results‑driven yet flexible work culture where employees are encouraged to experiment and learn. The company offers regular upskilling sessions, mentorship programs, and a balanced approach to remote work, ensuring professional growth without compromising personal time.

Graduates (B.Tech/B.E., B.Sc., MCA) from any stream with a strong foundation in statistics or data analysis. Minimum aggregate 60% (or CGPA 6.0/10). Eligible batch years: 2025, 2026, 2027. No active backlogs at the time of joining. Candidates should have basic knowledge of AI/ML concepts and be comfortable working remotely.

Hirecrap.com is an emerging technology staffing firm that partners with global leaders in the Technology, Information and Internet sectors. With a focus on delivering high‑impact talent solutions, the company has built a reputation for fast, reliable hiring and a culture that encourages continuous learning. Their client portfolio includes multinational AI research labs, cloud service providers, and data‑driven product companies, giving employees exposure to cutting‑edge projects across the AI ecosystem. The organization prides itself on a collaborative environment where analysts, engineers, and product managers work side‑by‑side to solve real‑world problems. The Data Analyst role is a full‑time, remote position that serves as a Subject Matter Expert for Data & Statistical Chart Analysis within AI Benchmarking. As a key member of the analytics team, you will evaluate statistical datasets, interpret complex visualizations, and validate the integrity of benchmarking reports that compare AI model performance across diverse scenarios. Your insights will directly influence how the client measures progress, identifies bottlenecks, and sets future research directions. Key Responsibilities: 1. Evaluate and interpret statistical data and visual representations to assess AI performance benchmarks. 2. Analyze trends, anomalies, and correlations in AI benchmarking datasets. 3. Validate data integrity and consistency across benchmarking reports. 4. Collaborate with cross‑functional teams to refine benchmarking methodologies. 5. Document findings and present insights to stakeholders in clear, non‑technical language. 6. Develop and maintain dashboards that track benchmark metrics over time. 7. Conduct root‑cause analysis for performance deviations and recommend corrective actions. 8. Stay updated with the latest AI evaluation frameworks and incorporate best practices. 9. Assist in preparing technical white‑papers and client presentations. 10. Mentor junior analysts on statistical techniques and visualization tools. Tech Stack: Python (pandas, numpy, matplotlib, seaborn), R, SQL, Tableau/PowerBI, Jupyter notebooks, Git, and familiarity with AI performance metrics such as BLEU, ROUGE, F1‑score, latency, and throughput. Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, Benchmarking Lead, or AI Analytics Manager within 2‑3 years, with opportunities to transition into data science or product analytics roles based on interest and skill development. Why Join Hirecrap.com: The role offers the flexibility of remote work while providing exposure to world‑class AI projects. You will work with a global client base, gain deep expertise in AI benchmarking, and benefit from a supportive culture that values upskilling, mentorship, and work‑life balance. The company’s commitment to merit‑based growth ensures that your contributions are recognized and rewarded.