Microsave Consulting - Assistant Manager - Data & Innovation

Experience :

- 1-3 years of experience in using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets,

- Experience in quanitative research,

- Experience working with data mining, and creating data architectures,

- Knowledge of a variety of machine learning techniques (clustering, decision tree, random forests, artificial neural networks, etc.) and their real-world advantages/drawbacks,

- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

- Exposure and experience in data visualization skills on R, Tableau, Power BI to build dashboards,

- Excellent written and verbal communication skills for coordinating across teams,

- A drive to learn and master new technologies and techniques in the field of research and analytics,

Essential Skills:

- Should have strong data analytics skills, should be proficient in statistical analysis software: preferably R, knowledge of data visualization software (Tableau/Power BI), should have experience in predictive modeling and machine learning (should have supervised and unsupervised techniques like regression, decision tree, random forest, clustering).

- Should have knowledge about dashboards and credit scoring tools.

Qualification

- Degree in B.Tech/BA/BCom/MBA from a reputed university,

- Other relevant professional qualifications in line with areas of specialization.