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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