Job Responsibilities:

• Serve as a business liaison between clients and project teams to help understand user interaction
• Assist project manager in better understanding information gathered about user experience
• Assist in the development of recommendations for redesign of the database
• Assist business clients in developing requirements for future use cases
• Assist team in getting the current deliverable in a timely manner
• Ability to develop/update existing training materials and support the team as they deliver training to end-users
• Strong communication skills in working with a team and providing in time updates to project manager
• Design, develop and deploy both one time and continuous production data analysis processes that include use of different algorithms and analytical techniques like clustering, time series, regression and association logic implemented using different statistical and data mining tools like R, Python and SAP PA
• Designs, develops, tests, implements, modifies and maintains existing and new data models and learning algorithms
• In depth practical knowledge of using different statistical data mining techniques like association, regression, time series, market basket, clustering etc. using R and SAP Predictive Analytics

Qualifications:

• Background in statistics, data analysis or engineering with a focus on big data machine learning algorithms for identifying complex data patterns (clustering, regression, association rules)
• Comfortable working in a fast-paced environment, in which ad-hoc analysis is as important is long term operationalizing of reporting
• Strong background in Python, specifically for data cleansing
• Hadoop Hive and Spark experience, with a focus on multi-million row data sets
• Expert in Tableau visualization and dashboard curation
• Experience with data warehousing and ETL best practices

Note:

• This is an onsite third shift job and the timing of this job is from 6:00 PM to 3:00 AM (Mon to Fri)
• Candidate must be fluent in spoken English.