NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. 

Acts as point-of contact between Stat Ops Operations and internal client services / clients to manage E2E operational queries and support to clients. Delivers outputs based on client specifications on time and at expected quality as well as engaging with stakeholders.

Skill Set Required:

• SQL (Medium level exp). MS office. Excel Macro. Unix shell scripting. Python (Beginner). Ability to enforce SLA across teams.
• Shell scripting (execution level). Python (Beginner). PLSQL (Beginner/Nice-to-have). Postgres sql, oracle sql, Microsoft sql.  Awk/ nawk. SQLPLUS utilities (beginner). Analyst (Medium)
• SQL (Expert level exp). MS office. Excel Macro. Analytical ability
• Shell scripting  Python PLSQL . Postgres sql, oracle sql, Microsoft sql.  Awk/nawk. SQLPLUS utilities. Automation/ PowerBI . Data engineer

●      Bachelor of Commerce/Science/ Computer Science/ Business Information Systems or IT

●      Required Language(s) : English, additional language skills preferred

About NielsenIQ 

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.