Major Field of Study:Computer Science, or related quantitative field
Required Training:N
Required Training Month:
Required Field of Training:
Required Experience :N
Required Expreience Months :
Accept Alternate Field of Study:N
Accept Alternate Major:
Alternate Combination of Education/ Experience:Y
Required Alternate Level of Education :Bachelor's
Other Alternate Level of Education:
Acceptable Years of Experience:5
Accept Foreign Educationa:Y
Acceptable Alternate Occupation:Y
Acceptable Alternate Occupation Month:24
Accept Alternate Job Title:data modeling and data analysis experience, or related experience
Normal Requirements of Job Opportunity:N
Required Foreign Language:N
Specific Skills:Experience with multiple variants of Structured Query Language SQL, including Oracle, Teradata, and Sybase. Experience working with big data sets using Hive or Impala. Experience building, automating, and scheduling reports using Tableau, Alteryx and Control M. Experience combining data from multiple sources using data wrangling tools including Alteryx. Experience ingesting data to HDFS using Sqoop and building big data sandbox for analytics and reporting. Experience designing data infrastructure in big data environment based on business requirements for consumption in Tableau dashboards. Experience performing statistical analysis using methods including ANOVA, and patterntrend analysis. Experience providing data warehouse design and architecture recommendations to IT partners based on analytic and reporting requirements. Experience performing SQL performance tuning and code review. Experience scheduling and automating data refreshes for dashboards using Autosys and ControlM. Employer will accept any amount of professional experience with the required skills.br br Continued from Sections H.4, H.8, and H.10. Minimum education required Masters degree or equivalent in Computer Science, or related quantitative field.br br Minimum experience required 2 years of data modeling and data analysis experience, or related experience.br br Alternate minimum education and experience required Bachelors degree or equivalent in Computer Science, or related quantitative field and 5 years of data modeling and data analysis experience, or related experience.
Combination Occupation :N
Offered to Applied Foreign Worker:Y
ForeignWorker Live on Premises :N
Live in Domestic Service Worker:N
Employment Contract :
Professional Occupation :Y
College/ University Teacher:N
Competitive Process:
Basic Recruitment Process :
Teacher Select Date:
Teacher Publish Journal Name:
Additional Recruitment Information:
Job Oder Start Date:2020-11-17
Job Oder End Date:2020-12-21
Sunday Edition Newspaper:Y
First Newspaper Name:The Columbus Dispatch
First Advertisement Start Date:2021-01-17
Second Newspaper Name:The Columbus Dispatch
Second Advertisement Type:Newspaper
Second Ad Start Date:2021-01-24
Job Fair From Date:
Job Fair to Date:
On Campus Recruiting from Date:
On Campus Recruiting to Date:
Employer Website from Date:2021-01-15
Employer Website to Date:2021-02-01
Pro. Org. Ad from Date:
Pro.Org. Ad to Date:
Job Search Website from Date:2021-01-18
Job Search Website to Date:2021-01-25
Private Employment Firm from Date:
Pricate Employment Firm to Date:
Employee Referral Program from Date:
Employee Referral Program to Date:
Campus Placement from Date:
Campus Placement to Date:
Local Ethnic Newspaper from Date:2021-01-22
Local Ethnic Newspaper to Date:2021-01-22
Radio/TV Ad from Date:
Radio/TV Ad to Date:
Employer Received the Payment:N
Payment Details:
Bargaining Representative Notified:N/A
Posted Notice at Worksite:Y
Layoff in Past Six Months:N
US Worker Considered:
Country of Citizenship:INDIA
Foreign Worker Birth Country:INDIA
Class of Admission :H-1B
Employee Info
Foreign Worker Education:Master's
Foreign Worker Education Other:
Foreign Worker Major:COMPUTER SCIENCE
Year of Compelted Education:2008
Foreign Worker Istitution of Eduation:FRANKLIN UNIVERSITY
Foreign Worker Education Instution Address Line 1:201 S. GRANT AVE.
Foreign Worker Education Institution Address Line 2: