A detailed job descriptionA Bachelors or Master’s degree in Engineering/ Computer Science or any other equivalent discipline with MBA, and 3+ years of Analytics or IT industry experience Technical:
1. Experience with SQL and data warehousing (e.g. Teradata/Oracle/DB2)
2. Experience using tools in BI, ETL, Reporting /Visualization/Dashboards
3. Programming experience in languages like Java, C, C++, with the understanding of object-oriented programming strongly desired
4. Experience with multiple Operating systems (e.g., MSDOS, Linux/Unix), and Unix scripting strongly desired
5. Experience with data handling using SAS, R or Python desired
6. Exposure to Bigdata based analytical solutions and hands-on experience with data lakes/ data cleansing/ data management
Skills - List as many as possibleArea of professional exposure (functional/technical skills) :
1. Experience with SQL and data warehousing (e.g.
Teradata/Oracle/DB2)
2.Experience using tools in BI, ETL,
Reporting /Visualization/Dashboards
3. Programming experience in languages like Java, C,
C++, with the understanding of object-oriented
programming strongly desired
4. Experience with multiple Operating systems (e.g.,
MSDOS, Linux/Unix), and Unix scripting strongly
desired
5. Experience with data handling using SAS, R or
Python desired
6.Exposure to Bigdata based analytical solutions and
hands-on experience with data lakes/ data cleansing/
data management
Good Analysis and problem-solving skills.
• Ability to get Insights from Data, provide visualization, and story-telling.
• Flexibility to explore and work with newer technologies and tools.
• Ability to learn quickly, adapt, and set direction when faced with ambiguous scenarios.
• Excellent collaborative communication and Team skills.
Bachelors
"• B.E. • B.Tech. • M.Sc • MBA • MCA"
Global Data Insights and Analytics,
Auto/Auto Ancillary