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Strong brand, mid-level generalist title, metro location, and broad skillset drive high applicant competition.
Core SQL/Python analytics skills transfer across industries, though financial domain knowledge is moderately valuable.
Explicit 3-5 years requirement plus mandatory SQL, Python, degree and tooling increases shortlisting strictness.
Lead and deliver complex ad-hoc business analytics and reporting to support varied business objectives.
Collaborate with internal analytics teams and business partners to define requirements and translate them into actionable solutions including predictive models.
Develop and execute reports for program tracking, model validation, and communicate insights and recommendations effectively to stakeholders.
Bachelor's degree in Engineering (BE/BTECH) from a reputed institute.
3-5 years of professional experience in analytics.
Strong skills in SQL, Python programming, and data manipulation.
Proficiency in MS Excel, PowerPoint, Word; knowledge of tools like PowerBI and/or AWS Athena.
Experienced in handling multi-project environments with strong quantitative and programming skills focused on analytics and problem solving.
Capable of engaging with business counterparts to ensure solutions fit business needs and are ready for deployment.
Comfortable working in a hybrid in-office model with flexible hours (2 PM to 10:30 PM shift).