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Generalist early-career Data Analyst title with broad technical requirements increases applicant competition.
Core data analysis skills (SQL, R, Python, modelling) are highly transferable across industries.
Mandatory cover letter, explicit statement requirement, and specific technical skills create high selection rigidity.
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Understand client requirements and synthesize information for actionable insights.
Develop and improve statistical and data models using tools like R, Python, and SQL.
Deliver real-time data-driven insights to support decision making across projects.
0-3 years of experience, preferably from IITs, NITs, BITS, PSG College of Technology, VIT, CBIT, ICFAI, or similar institutions.
Proficiency in SQL, R, Python, Advanced Excel, and VBA (intermediate level).
Hands-on experience in data gathering, data modelling, data migration, and data consolidation.
Application must include a detailed cover letter addressing specific points; applications without cover letter will be rejected.
Candidates with practical exposure to data analytics projects via academics, internships, or jobs.
Comfortable handling multiple industry projects with direct client interaction and project ownership.
Familiarity or interest in business knowledge and applying analytical skills to varied sectors such as BFSI and e-commerce.