Responsible to generate models based on business requirements
Should work closely with the data scientist, onshore and offshore team to understand different business scenario, automate and create models in "Python"
Should be able to identify anomalies in data using different statistical tool
Should be able to generate insights from data & share effectively with relevant stakeholders
Suggest model change based on the change in business dynamic & data trends
Responsible to document all the changes made in the models & business requirements
Leverage root causes identified during Problem Resolution process to create new rules to automate emerging issue detection
Observe claim adjudication process & anomalies detection and look for ways to continuously improve it
Support ad-hoc complex analysis
Leverage multiple "Python" tools to conduct more complex warranty analysis
Automate ad-hoc complex analysis proven useful to enable junior analyst to use them on a recurrent basis. Train Junior Analyst on new ad-hoc analysis developed by Analyst Experts.
Explore new root cause analysis methodologies with warranty expert analysts and reliability engineers as a way to continuously improve the warranty analytics team capabilities
Monitor and interpret process KPI's
People Management Responsibilities
Need to be a good team player and lead, involve the team members for smooth day to day operation Guide and mentor Analysts Juniors in their path to become Analysts Experts Accountable for coaching, mentoring and motivating juniors & other team members
Required Candidate profile
Technical Skills
Expert in Python & "R"
Have worked extensively on SQL
Expertise in developing text analytics models, AI & ML
Experience in statistical/predictive modelling techniques like regression, multivariate analysis, forecasting, and reliability models, clustering techniques using python & "R"
Experienced in working on big data platform Hadoop (HIVE, HDFS, PIG)
Expert level capability in use of desktop software (MS Office Suite, with focus on analytical skills in Excel)
Education Qualifications / Experience
Master in Stats / Economics and / or Engineering Grads
Experience in Hi-Tech, Mobile handset, Heavy Equipment industry
Experience in managing after-sales service chain in warranty, reliability and product quality
Work experience of 4-8 years of experience
Job Classification
Industry: KPO, Research, Analytics Functional Area: Analytics & Business Intelligence, Role Category: Analytics & BI Role: Analytics & BI Employement Type: Full time
Education
Under Graduation: B.A in Any Specialization, Statistics, Maths Post Graduation: M.A in Any Specialization, Maths, Statistics, MS/M.Sc(Science) in Statistics, Maths Doctorate: Doctorate Not Required