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)
Didn’t find the job appropriate? Report this Job