It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

JOB DESCRIPTION:

-Expertise in Python plus SQL & advanced analytics/Statistics Techniques such as general linear model etc

-Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.

RESPONSIBILITIES:

-Solve business problems & develop a business solution:  Use problem-solving methodologies to propose creative solutions to solve a business problem. Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems. Develop models & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis.   Identify and eliminate possible obstacles and identify an alternative creative solution.

-Project management:  Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.

-Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence.

-Firm building: Contribute to firm growth by participating and conducting training sessions.

-Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management

PREFERRED QUALIFICATIONS: •

-The overall experience of Minimum 5.6 to 10 years with at least 3 to 8 years of hands-on experience in running analytics projects

-Expert-level proficiency in statistical/ML predictive techniques such as regression

-Project Management, Stakeholder Management, Crisis handling

-Expertise in Python plus SQL & advanced analytics/Statistics Techniques such as general linear model, etc.

-Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality, and database management

-Team handling, Problem-solving, Project management, and communication skills and Creative thinking

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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