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Job Description :
Vacancies & Eligibility Criteria:
| Post | Vacancy | Age | Qualification | Pay |
|---|---|---|---|---|
| BIE, Digital, and Emerging Payments | N/A | N/A | Graduate | as per norms |
BASIC QUALIFICATIONS
Bachelor's degree in Computer Science, Engineering, Mathematics, or other business/analytical disciplines or equivalent experience.
5+ years of relevant experience as a business intelligence engineer in the data/BI space.
Proficiency with reporting, dashboarding, and data mining using SQL, reporting tools (e.g. Excel), and data visualization tools (e.g. Quicksight, Tableau, or Qlik)
Proficiency in data modeling and transformation of large-scale data using SQL, Spark, Hive, EMR, or other Big Data technologies
Proficiency in creating reporting data pipelines, designing tables/views, and optimizing queries.
Proficiency in descriptive statistics (i.e. measures of distribution) and familiar with inferential statistics (e.g. hypothesis testing, confidence intervals) and know when such methods are appropriate.
Experience in one or more scripting languages (e.g. Python, R, Shell)
Excellent communication and presentation skills working with multiple peer groups and different levels of management.
PREFERRED QUALIFICATIONS
Master’s degree in BI, Finance, Engineering, Statistics, Computer Science, Mathematics, Finance, or another quantitative area
5+ years of relevant experience business intelligence engineer or equivalent
Experience using AWS technologies such as Redshift, S3, EC2, EMR, and other data warehouse or pipeline products.
Advanced analytical skills, with experience in using statistical methods (e.g. regression, clustering, classification) to solve business problems.
Apply Mode:
Online
How To Apply:
Interested candidates with qualifications may apply online for the concerned posts as per the online application form.
Keeping a print copy for future use is advised.
| Important Link | |
|---|---|
| Apply Online | Click Here |
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