Back
Tier-1 brand, metro location, popular mid-level title, broad skillset requirements drive high competition.
Core analytics, BI, and SQL/Python skills are highly transferable across industries.
Explicit 2–4 year requirement plus broad technical toolset makes shortlisting moderately strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Analyze, interpret, and present data to support decision-making and provide insights to the organization.
Participate in the investigation, design, development, and implementation of data science projects to generate new insights and products.
Develop algorithms, perform data experimentation, support data-driven applications, and participate in data quality governance framework design.
Bachelor's degree or equivalent competence in Mathematics, Statistics, Economics, Computer Science, or related discipline.
2-4 years of work experience preferably in data analytics, database management, statistical analysis, or related field; advanced degree with little or no experience also acceptable.
Proficiency in programming languages such as SQL, Python, R, SAS, or similar is preferred.
Work Experience Required: 2-4 years preferably in related fields; advanced degree with less experience acceptable.
Experienced working independently on moderate scope data analysis problems, applying professional judgment within established guidelines.
Skilled in advanced data analysis techniques, data visualization (Power BI, Tableau), and data science toolsets.
Comfortable collaborating within a team of data science engineers and cross-functional internal/external partners to deliver insights and validated experiments.