The open position is for Customer Loyalty Analytics.
The incumbent will manage and engage client teams to understand, define and develop data-driven solutions to meet the needs of clients primarily in the financial services and insurance domains.
Interface with clients to understand business problems and translate them into analytical problems that can be addressed by data analytics
Develop & conceptualize sophisticated & innovative analytical solutions that integrate diverse information solutions and generate actionable insights
Provide high-end consulting to clients to help them sharpen their business strategy by implementing analytical models that support the realization of business objectives
Manage end to end project delivery with project teams and build client relationship
Lead with limited direction, usually within a complex environment, to drive rigorous, fact-based solutions and insights for clients
Support business development teams in preparing client pitches
Build a team of skilled and motivated analysts/senior analysts to deliver large data-based projects to the financial services clients; outline goals, conduct the performance review and appraisal of the team and coach employees
Be the thought leader in the focus area, the go to person for internal teams, Generate knowledge sharing trends in the team, participate in developing white papers & share new trends in analytics with colleagues, evolve one's own opinion on the concepts
Qualification & Experience
Experience in delivery/account management in a data analytics environment
Strong business acumen and ability to translate data insights into meaningful business recommendations
Demonstrated ability to handle multiple types of data
Technical mastery in tools such as SAS/SPSS/R and Tableau/ Microstrategy/ Spotfire/ Business Objects
Experience with Microsoft Word, Excel (including VBA), PowerPoint applications
Strong interpersonal skills and ability to communicate effectively with clients
Excellent analytical and problem solving skills
Should have worked in the analytics industry for 4-6 years
Exposure to Customer insights research/ analytics would be an added advantage
Ability to mentor and lead teams
Excellent written and verbal communication skills.
Academics: BE/ B.Tech (any discipline) or MS in Statistics/Economics