Back
Remote posting, generalist Data Analyst title, and reputable employer increase applicant competition.
Core data skills are transferable, but financial domain knowledge moderately increases fit sensitivity.
Explicit 1-3 years plus mandatory SQL/Python/Tableau and cloud skills create moderate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Support EDAI Advisor Analytics team by executing data science initiatives and end-to-end project delivery involving business stakeholders in the US and India.
Collect, clean, analyze large datasets using SQL and Python, and create impactful dashboards with Tableau or Power BI to communicate key metrics.
Assist in building and maintaining predictive models, perform exploratory data analysis, and experiment with Large Language Models (LLMs) to support GenAI initiatives.
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related fields; Master’s preferred.
1-3 years of experience in data analysis via internships, academic projects, or coursework.
Proficient in SQL and Python (including Pandas and NumPy); experience with Tableau or Power BI for dashboard creation.
Familiarity with machine learning basics, LLMs, cloud platforms (AWS, Azure, or GCP), and version control systems like Git.
Experience collaborating with cross-functional teams including business leaders and technology partners across multiple geographies (US and India).
Comfortable working in a client-centric environment requiring in-office presence at least three days a week with flexible timings (2:00pm-10:30pm IST).
Strong foundation in data science fundamentals with a practical approach to applying machine learning and emerging AI technologies like LLMs in financial services context.