Data Analyst II - Data Processing

Description

Our Technical Survey Data Analysts are responsible for data programming survey questionnaires based on the materials provided by the Brand Impact Research Team, using specific software, such as Quantum and SPSS. This position combines survey development (from questionnaires), quality assurance, and direct communication with internal stakeholders and partners.  This role will include liaising with project managers and researchers to understand their requirements, programming survey data checks according to their specifications, and resolving any issues encountered during the data processing stage. 

Primary Role Responsibilities:

• Converting the data spec form into tabs  and performing data checks for the survey programs using Quantum , SPSS, DisplayR or other tool 

• 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 data processing 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 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 processing, ensuring seamless workflow and efficiency.

• Collaborate with team members to contribute to overall project success

Necessary Skills:

• Ability to create macros,tabs(weighted and unweighted) ,perform survey DC’s using tools such as Quantum,SPSS etc

• 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 definitely 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.

• Ability to work across diverse clients and industries

General Qualifications: 

• 2-4+ years experience in data processing 

• Bachelor’s Degree/ B.Tech/BE in Computer Science/Engineering or any IT-related fields 

• Python 2.7 (or other languages), XML, HTML, JavaScript, and CSS “OR” have strong problem-solving skills with the ability to learn things quickly in a challenging environment and think outside the box

• Ability to grasp new concepts easily

• Stats background a plus

• Technical proficiency in Office/Google Suite of software solutions

• Excellent verbal and written communication skills

• Ability to work independently in a fast-paced environment

• Basic knowledge of Decipher or other survey programming platforms

• Experience with data tabulation tools like Dimensions, Quantum, SPSS, etc. a plus

• The position involves night shifts and weekend work.

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.