- Project Management
S/He will be expected to deliver an analytics engagement at client location independently, or work with a team. 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 Engagement manager & will have an opportunity to work with consultants/ Sr. Consultants across various projects/work streams
Position expectations in detail:
Solve business problems & develop business solution: Use problem solving methodologies to propose creative solutions to solve business problem. Recommend design and develop state-of-the-art data driven analysis using statistical & advanced analytics methodologies to solve business problems. Demonstrate strong coding skills. Develop models & recommend insights, as needed. Identify and eliminate possible obstacles and identify alternative creative solution.
Big data engineering: Responsible for evaluating, developing, maintaining and testing big data solutions. Perform big data pre-processing & reporting workflows including collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into business insights.
Project management: Lead a client facing workstream independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, perform failure or risk analysis of the project, analyze 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. Also, participate in other activities which make Fractal an employer of choice.
Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem solving, project management, client relationship management & team work skills. Conduct regular reviews with team members.
Skills & Qualifications:
4+ years of hands on experience in data analytics/ data engineering 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 SQL /R/SAS & 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 tolls such as Hadoop, Hive, Impala and Python
Graduate in Computer Science, Mathematics, Operational research, Information Science, Engineering, Statistics. (MS or MBA preferred)
Certification in any R, SAS, SQL, Visualization Tools, Machine Learning, Bayesian and/or Regression etc. (Preferred)