What you will do:

• Analyze & interpret data and communicate results to clients, often with the aid of
• mathematical/statistical techniques and software.
• This role requires Data exploration, mathematical/statistical modelling, 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 modelling.
• 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 individual contributor.
• Demonstrate excellent teamwork.
• Collaborate with other data analysts to provide development coverage, support, and
• knowledge sharing and mentoring of junior team members.

What makes you a great fit:

• Bachelor's in Computer Science/ Engineering, Statistics, Math or related quantitative degree
• or equivalent work experience.
• Experience with modelling techniques such as clustering, linear & logistic regression, random
• forest etc.
• Must have a passion for data, structured or unstructured.
• 2-6 years of hands-on experience with Python/R and SQL is 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.