Consultant - Analytics - KPO

Role Brief:

- 1-6 years of Advanced analytics/Predictive Modeling using Python/R, SQL and Machine Learning.

Technical and domain expertise-

- Expertise in Python/R plus SQL & advanced analytics/Statistics Techniques such as general linear model, ANOVA, decision trees, linear regression, Bayesian etc

Execution excellence :

- 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.

Job 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.

- Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches

- 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

The Person:

Experience:

- The overall experience of Minimum 2 to 6 years of hands-on experience in running Advanced analytics projects

- High proficiency in concepts and algorithms used in design of experiments.

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

- Expertise in Python/R plus SQL & advanced analytics/Statistics Techniques such as general linear model, ANOVA, decision trees, linear regression, Bayesian etc

- Problem-solving, Project management, and communication skills & Creative thinking

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

Education:

B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent