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Senior Data Analyst I - Survey Programming
The Nielsen Company
Mumbai, IND
Full-time
Mid · 4+ years experience
Onsite
Discovered 3 weeks ago
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Primary Role Responsibilities
- Turning a questionnaire document into an online survey using Decipher
- Performing rigorous quality assurance checks on survey programs to ensure that they are error-free and meet client expectations
- Working with the client services and research teams to ensure that client expectations are met and exceeded
- Communicating with internal stakeholders to obtain clarifications and/or resolve survey programming issues
- Troubleshooting and resolving issues with programmed surveys while they are in the field
- Reviewing collected data for outliers, skip logic issues, or inconsistencies
- Cleanse data, data merging, and create cross-tabulation tables
- The position involves regular night shifts and weekend work. Adapting to this schedule is a crucial aspect of the role.
- Support all operational tasks undertaken by the team outside of survey and data programming, ensuring seamless workflow and efficiency.
- Collaborate with team members to contribute to overall project success
Necessary Skills
- Excellent critical thinking and the desire to seek solutions for novel situations as they arise
- Attention to detail – quality, and accuracy in all work and interactions
- A self-motivated, curious learner with the ability to work collaboratively and willingness to lean in – need to jump in quickly, adapt and work in a collaborative team environment, managing multiple projects at once
- Agile and open-minded, resilient with an enthusiasm for problem-solving.
- Quick learner with a logical mindset and analytical thinking who is passionate about technology
- Excellent communication and interpersonal skills. Friendly, motivated, dynamic, ambitious, and a team player!
- Strong project management skills - being organized, taking ownership, using initiative & being proactive
- Some programming experience, ideally understanding Object-Oriented Programming, loops, recursion, data structures, and algorithms.
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