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
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 :
Over all 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 data base management
Expertise in Python / R & 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 synthesising 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 tolls such as Hadoop, Hive, Impala and Python
Graduate in Computer Science, Mathematics, Operational research, Information Science, Engineering, Statistics. (MS or MBA preferred)