Back
Popular early-career data analyst role at a known financial services firm in Gurgaon creates high competition.
Technical analytics, Python and visualization skills are broadly transferable across industries, lowering background sensitivity.
Explicit degree requirement, 1–3 years experience, and mandatory Python/SAS and analytics skills increase shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own ad-hoc business analytics and reporting, collaborating with internal analytics teams and business partners to translate business requirements into actionable data solutions.
Develop predictive models and execute reports for program tracking, model validation, and business insights as needed.
Coordinate and communicate analytic results and recommendations across US and internal teams ensuring quality standards.
Bachelor's degree in Engineering (BE/BTech) or Master's in Economics, Mathematics, Operations Research, or PG in Data Science/ML from reputed institute.
1-3 years of analytics work experience.
Strong Python/SAS programming and data manipulation skills, with proficiency in MS Excel, PowerPoint, and Word.
Willingness to learn SAS; ability to work onsite at least 3 days per week, working hours 2:00 PM to 10:30 PM.
Experience working in client-centric, matrixed environments requiring coordination across US and internal business units.
Strong analytical and quantitative skills with ability to translate complex data insights into business understanding.
Familiarity with predictive modeling, machine learning, and BI tools like Power BI or Tableau is preferred but not mandatory.