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Job Detail

Compliance Operations (2-4 Yrs)

Salary 15 Lpa

  • Bangalore
  • 13 Nov 2019


JobRef AMZ13112019006

 Job Description

 Business intelligence engineer would support the analytical requirements of the Compliance Operations team. Candidate will be responsible for conducting deep dive analyses to solve complex business problems.

 He/ she will also be responsible for creating robust reporting frameworks to increase visibility into data and enable data driven decision making. Another key aspect of the job is to unearth insights from data to help the operations team in driving process excellence.

 This position requires excellent statistical and analytical abilities, good knowledge of business intelligence solutions and data engineering practices, and the ability to collaborate with various teams across compliance operations.

 Candidate should be comfortable with ambiguity, capable of working in a fast-paced environment, possess strong attention to detail, and able to collaborate with customers to understand and transform business problems into requirements and deliverables Basic Qualifications •

 Industry experience of working in a Business Intelligence Engineer role. •

 Familiarity with theory and practice of statistics, information retrieval and data mining. •

 Demonstrated capability of extracting, transforming, and cleaning large (multi-TB) data sets. •

 Experience in scripting for automation (e.g. Python, Perl, Ruby). •

  Experience using statistical packages and business intelligence tools such as R, Python etc.

 • Experience in data mining and optimizing database query performance in SQL. •

  Experience in building dashboards and reports to surface business intelligence data. • Strong analytical and excellent problem solving skills.

 • Proven interpersonal, written and verbal skills, capable of presenting your beliefs clearly and compellingly in both verbal and written form to large cross-functional teams of technical and non-technical members.

 • Strong desire to push your ideas into production, overcoming obstacles, in order to benefit to the customers.

• Degree in Computer Science, Information Technology,

  Business Analytics, Mathematics, Statistics or Economics. In lieu of degree, relevant skills and equivalent experience Preferred Qualifications • Degree in Computer Science, Information Technology, Business Analytics, Mathematics, Statistics or Economics.

 In lieu of degree, relevant skills and equivalent experience • Familiar with theory and practice of relevance and machine learning.

Contact Person - Sugandha

Contact No. - 9711120478


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