Details:

- Analyze & interpret data and communicate results to clients, often with the aid of mathematical/statistical techniques and software.

- Data exploration, mathematical/statistical modeling, data analysis, and hypothesis testing. 
- Design, development, and deployment of Predictive models and frameworks. 
- Complex statistical concepts are explained in a way that clients can understand and advice on strategy. 
- Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation and predictive modeling. 
- Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need. 
- Design and build dashboards and other visualizations in BI tools. 
- Should be able to handle assigned tasks in the capacity of the individual contributor. 
- Demonstrate excellent teamwork. 
- Collaborate with other data analysts to provide development coverage, support, and knowledge sharing and mentoring of junior team members. 
Education & Experience Required:

- Bachelor's in Computer Science/ Engineering, Statistics, Math or related quantitative degree or equivalent work experience. 
- Experience with modeling techniques such as clustering, linear & logistic regression, random forest etc. 
- Must have a passion for data, structured or unstructured. 
- 2-7 years of hands-on experience with R/Python and SQL is a must. 
- Should have sound experience in data mining and data analysis. 
- Excellent critical thinking, verbal and written communications skills. 
- Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment. 
- Good presentation skills.

Min. Qualification:

ug

Skills Required:

clustering, data mining, linear regression, logistic regression, python, r, random forest, sql, statistical modeling