Job Description :

Key expectations are:
Expertise in SQL
Business Intelligence / Reporting
Business requirements understanding, communication
Python
 
 
Must Have Skills (Top 3 technical skills only) *
 
     •    5+ years analytics experience. Experience in payment/financial services or in Data Engineering is a plus.
•    Experience with statistical packages (SAS or R), SQL and reporting tools like Qlikview and Tableau.
•    Experience with Google Cloud migration and with BigQuery.
•    Bachelor’s/Master’s degree preferably in a quantitative field (engineering/accounting/statistics
Detailed Job Description:
     •    Successful candidates will possess exceptional business judgment, strong analytic skills, superb communication skills and be obsessed by data quality. They must have a passion for living in the data and be comfortable rolling up their sleeves to get into the details of the analysis, as well as being able to synthesize and provide high-level thought leadership.
•    Proven track-record of building/maintaining a data pipeline from application instrumentation to data visualization. 
•    Proven track-record of utilizing a data-driven approach to solve ambiguous business problems and delivering business and operational impact directly and through others.
•    Requires strong technical and analytical skills to translate complex transactional data into valuable and insightful information.
•     
Top 3 responsibilities you would expect the Subcon to shoulder and execute*:    •    Successful candidates will possess exceptional business judgment, strong analytic skills, superb communication skills and be obsessed by data quality. They must have a passion for living in the data and be comfortable rolling up their sleeves to get into the details of the analysis, as well as being able to synthesize and provide high-level thought leadership.
•    Proven track-record of building/maintaining a data pipeline from application instrumentation to data visualization. 
•    Proven track-record of utilizing a data-driven approach to solve ambiguous business problems and delivering business and operational impact directly and through others.
•    Requires strong technical and analytical skills to translate complex transactional data into valuable and insightful information.

             

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