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Senior Consultant, Modeling

Role Definition:

S/He will be expected to deliver an analytics engagement at client location independently. This will include problem-solving, hypothesis testing, advanced analysis, creating models & solutions and compelling visualizations to make the solutions scalable and easily understood.  The Senior consultant will collaboratively work along with senior engagement managers & lead a team of analysts and data scientists. 

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

Skills & Qualifications:

  • Overall experience  of 5 to 6 yrs with at least 3 to 4 years of hands-on experience in running data analytics projects
  • Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality, and database management
  • Expertise in  Python/R plus SQL & advanced analytics/Statistics Techniques such as general linear model, ANOVA, decision trees, linear regression, Bayesian etc
  • Knowledge of any one visualization tool such as Tableau, Spotfire or equivalent
  • Problem-solving, Project management, and communication skills & Creative thinking
  • High learning orientation & agility
  • Attention to detail
  • Project management skills
  • Experience in processing and synthesizing large data sets
  • Ability to think on his/her feet and engage with both the business and analytical community
  • Ability to adapt with ambiguity in cross-functional environment
  • Good to have: Experience Big data tools such as Hadoop, Hive, Impala, and Python
  • Graduate in Computer Science, Mathematics, Operational research, Information Science, Engineering, Statistics. (MS or MBA preferred)
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