BIG Data - Mumbai
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Financial Services and Insurance

Overall Experience: 

2 - 6 years of proven experience in Analytics and/or Business 
Intelligence with 2+ years of relevant experience in Operations 
& Customer experience analytics 
The analysts should be able to blend different data sets 
(financial, operational and behavioral data) to generate 
actionable insights 
The analysts is expected to do threshold analysis, significance 
testing and build predictive analysis on NPS data 
The analyst needs to provide a joined-up view & meaningful 
insights on key customer issues on a regular basis using data 
engineering and data science 
Analyze the data to identify customer pain points, process 
bottlenecks and triggers for intervention before things go wrong 
Ability to work with stakeholders across all levels, understand 
business objectives and make sure any analysis and findings are 
aligned to those business objectives 
 
Day-to-day responsibilities: 
Deliver complex regular and ad-hoc analysis: Lead on complex 
analysis requests comes from various business areas to provide 
insight on specific areas of interest on a regular as well as 
ad-hoc basis. Requests will need to be scoped out, estimated, 
delivered with valuable insights and the relationship with the 
UK stakeholder managed throughout the delivery of the project.  
 Maintain existing analytics assets within the team: Maintain 
the Qlikview/SAS/SPSS based models within the team and 
enhance them over time.  
Develop re-usable analytics assets: Develop analytics models 
and tools that are re-usable that become assets for the 
organization and help deliver strategic objectives around 
developing analytics capability in the organization. 

 

Build quick prototypes (using Qliview/R/Hyphen/Hadoop): 
Provide quick PoCs to the business to validate any specific 
hypotheses and providing quick insights within a very short span 
of time  

 
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