Desired Skills, Competencies & Experience:
· Educational Qualification:
B. Tech/B. Sc (Statistics, Mathematics, Economics) from Tier-1 college OR
M. Sc (Statistics, Mathematics, Economics)
MBA (with specialization in Analytics/Data Science and B. Tech)
· Familiarity in
Data Analysis Techniques: Common discrete and continuous distributions, Bivariate distributions, Conditional probability, Random variables, expectation, variance, central limit theory etc.
Understanding of Machine Learning Modeling technologies like linear regressions, Logistic regression etc
Structured programming language - such as R, python & SQL.
Data Analysis Tools: Data manipulation using packages like Pandas, Matplotlib, Dash
· BI Tools: PowerBI / Tableau / R Shiny
· Excellent written and verbal communication skills
The analyst will: - Work on programmatically integrating multiple data sources, - Clean and aggregate data for analysis and modeling - Perform exploratory and hypothesis driven analysis, data quality checks, define independent and outcome variables. - Visualize data and load the visualizations on the appropriate platform. - Present insights and visualization to clients.