Data Analyst II - Data Processing
Nielsen · Mumbai Metropolitan Region
- On site
- Full-time
- $75,000 / year
- Mumbai Metropolitan Region
Job highlights
- Program survey data using Quantum and SPSS.
- Perform quality assurance and data checks.
- Collaborate with internal stakeholders and clients.
- Troubleshoot and resolve data processing issues.
- Work night shifts and weekends as needed.
About the role
Data Analyst II - Data Processing
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 tools.
- Performing rigorous quality assurance checks on survey programs to ensure error-free results and meet client expectations.
- Working with client services and research teams to ensure 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; cleansing data, merging data, and creating cross-tabulation tables.
- The position involves night shifts and weekend work. Adapting to this schedule is a crucial aspect of the role.
- Supporting all operational tasks undertaken by the team outside of survey and data processing, ensuring seamless workflow and efficiency.
- Collaborating with team members to contribute to overall project success.
Necessary Skills
- Ability to create macros, tabs (weighted and unweighted), and perform survey DCs using tools such as Quantum, SPSS, etc.
- Excellent critical thinking and the desire to seek solutions for novel situations.
- Attention to detail – quality, and accuracy in all work and interactions.
- A self-motivated, curious learner with the ability to work collaboratively and a 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.
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.
Key skills/competency
- Data Processing
- Survey Programming
- Quantum
- SPSS
- Data Quality Assurance
- Cross-tabulation
- Python
- SQL
- Critical Thinking
- Problem-Solving
Skills & topics
- Data Analyst
- Data Processing
- Survey Programming
- Quantum
- SPSS
- Data Quality Assurance
- Python
- Cross-tabulation
- Technical Survey Data Analyst
- Nielsen
How to get hired
- Tailor your resume: Highlight experience with data processing tools like Quantum, SPSS, and Python, emphasizing your 2-4 years of experience and relevant degree.
- Showcase technical skills: Detail your proficiency in programming languages (Python, XML, HTML, JavaScript, CSS) and data tabulation tools.
- Emphasize problem-solving: Demonstrate your critical thinking, analytical skills, and ability to troubleshoot complex data issues.
- Highlight soft skills: Showcase your communication, collaboration, and adaptability, especially your willingness to work night shifts and weekends.
- Apply strategically: Submit your application through official Nielsen channels and be prepared to discuss your experience in detail during interviews.
Technical preparation
Master Quantum and SPSS survey programming.,Practice Python scripting for data manipulation.,Review XML, HTML, JavaScript, and CSS basics.,Familiarize with data tabulation principles.
Behavioral questions
Describe a complex data issue you resolved.,How do you ensure accuracy in your work?,How do you handle tight deadlines and pressure?,Share an example of adapting to change.
Frequently asked questions
- What are the primary responsibilities of a Data Analyst at Nielsen?
- As a Data Analyst at Nielsen, you will be responsible for programming survey questionnaires using specific software like Quantum and SPSS, performing quality assurance checks, and communicating with internal stakeholders and clients to resolve data processing issues. This includes data cleansing, merging, and creating cross-tabulations. You should also be prepared for night shifts and weekend work.
- What technical skills are essential for this Data Analyst role at Nielsen?
- Essential technical skills include proficiency in data processing tools such as Quantum, SPSS, and DisplayR, along with experience in creating macros and tabs. Programming experience with Python, XML, HTML, JavaScript, and CSS is highly valued, as is technical proficiency in Office/Google Suite. A background in statistics and familiarity with Decipher or other survey programming platforms are a plus.
- What qualifications are required for the Data Analyst position at Nielsen?
- Nielsen requires candidates to have 2-4 years of experience in data processing and a Bachelor’s Degree in Computer Science, Engineering, or an IT-related field. Strong problem-solving skills, quick learning ability, excellent communication, and the capacity to work independently in a fast-paced environment are also crucial. Experience with data tabulation tools is beneficial.
- Does the Data Analyst role at Nielsen involve shift work?
- Yes, the position explicitly involves night shifts and weekend work. Adapting to this schedule is considered a crucial aspect of the role, so candidates should be prepared for and comfortable with such arrangements.
- How can I ensure my application stands out for the Data Analyst II role at Nielsen?
- To make your application stand out for the Data Analyst II position at Nielsen, focus on clearly articulating your experience with specific data processing tools like Quantum and SPSS. Highlight your problem-solving abilities, attention to detail, and any programming experience. Demonstrating your adaptability to non-standard work hours (night shifts/weekends) will also be beneficial.
- What is the typical career progression for a Data Analyst at Nielsen?
- While specific career paths vary, a Data Analyst role at Nielsen can lead to more specialized roles within data science, advanced analytics, or project management. With consistent performance and skill development, opportunities may arise for promotion to Senior Data Analyst or similar positions within the technical survey data team.