About NielsenIQ
is a global leader in consumer intelligence and analytics, helping brands and retailers understand market dynamics, shopper behavior, and category performance. NielsenIQ’s data and analytics platforms are widely used by enterprises worldwide to make strategic decisions, forecast trends, and optimize operations. The Data Operation Analyst IV role plays a critical part in driving data quality, operational efficiency, and analytical insights across data pipelines.
Role Overview – Data Operation Analyst IV
- Position: Data Operation Analyst IV
- Company: NielsenIQ
- Location: (India – Location as per job portal, typically Pune or Bengaluru — usually indicated on the NielsenIQ careers page)
- Experience Level: Mid-level professionals / Experienced
- Qualification: Bachelor’s / Master’s Degree in Data Analytics, Business, STEM or related fields
- Employment Type: Full-time
- Domain: Data Operations / Data Management / Analytics Support
This role is ideal for individuals who enjoy working with data quality processes, operational workflows, and supporting analytics environments that power enterprise decision-making.
Purpose of the Role
The primary purpose of the Data Operation Analyst IV role at NielsenIQ is to ensure data accuracy, completeness, and operational readiness of datasets, dashboards, and reports used by internal teams and external clients. Analysts in this position work on large-scale data operations, handling complex datasets, quality validations, and performance optimization.
This role bridges the gap between raw data and meaningful insights by maintaining high data quality standards.
Key Responsibilities
As a Data Operation Analyst IV, your responsibilities typically include:
- Managing and validating large datasets across multiple sources
- Monitoring data quality, integrity, and consistency
- Investigating data discrepancies and implementing corrective actions
- Supporting automation and improvement of data pipelines
- Performing root cause analysis for recurring data issues
- Collaborating with technical and business teams to clarify data requirements
- Generating reports, dashboards, and performance summaries
- Documenting operational procedures, fixes, and quality assessments
- Supporting data migrations and ETL process enhancements
- Ensuring compliance with data governance standards
These responsibilities ensure that data outputs are trustworthy and aligned with business needs.
Technical Skills Required
To succeed in this role, candidates are expected to demonstrate:
- Strong understanding of data structures and data models
- SQL proficiency for querying, manipulation, and validation
- Experience with data visualization tools (Power BI, Tableau, etc.)
- Familiarity with ETL processes and data pipelines
- Ability to interpret and troubleshoot issues in large datasets
- Knowledge of automation tools and scripting (advantageous)
- Strong Excel and analytical tool proficiency
Hands-on experience with enterprise data workflows is highly beneficial.
Professional and Soft Skills
In addition to technical skills, NielsenIQ looks for professionals who demonstrate:
- Analytical and logical thinking
- Strong communication skills for cross-team coordination
- Ability to manage multiple tasks and deadlines
- Attention to detail and accuracy
- Problem-solving mindset
- Collaboration and teamwork orientation
- Adaptability to changing data environments
These skills help ensure effective collaboration and quality outcomes.
Role Views – Day-to-Day Experience
A typical day for a Data Operation Analyst IV may include:
- Identifying and resolving data quality issues
- Running SQL queries to extract and validate data
- Updating dashboards and operational reports
- Communicating with internal and client stakeholders
- Documenting data checks and corrective actions
- Assisting data engineers with enhancements to pipelines
- Supporting weekly/monthly operational reporting cycles
- Participating in team reviews and data quality audits
This daily exposure helps sharpen both analytical and operational expertise.
Who Should Apply
This role is suitable for:
- Mid-level professionals with strong data operations experience
- Analysts who enjoy ensuring data accuracy and quality
- Candidates with solid SQL and analytical tool proficiency
- Professionals seeking roles supporting enterprise analytics
- Individuals who thrive in collaborative data environments
A background in analytics, data science, or business intelligence strengthens your candidacy.
Work Culture and Environment
NielsenIQ fosters a collaborative, data-driven, and client-centric culture. Teams work in agile structures with a strong focus on quality, innovation, and continuous improvement. Analysts interact with cross-functional teams, learning from data engineers, product owners, and business stakeholders, thereby expanding their domain knowledge.
Training & Skill Development
Data Operation Analysts at NielsenIQ typically benefit from:
- Structured onboarding to tools, systems, and processes
- Exposure to enterprise data workflows and platforms
- Mentorship from experienced data professionals
- Opportunities to upskill in SQL, ETL, automation, and BI tools
- Participation in internal knowledge-sharing and learning programs
This environment supports continuous professional growth.
Career Growth and Progression
Starting as a Data Operation Analyst IV, professionals can grow into roles such as:
- Senior Data Analyst
- Data Quality Lead
- Data Operations Manager
- Business Intelligence Specialist
- Data Engineering or Analytics Consultant
Career progression depends on expertise, impact on data quality outcomes, and leadership contributions.
Why This Role Matters
- Ensures trusted data for enterprise decisions
- Maintains high-quality operational workflows
- Supports analytics, forecasting, and client reporting
- Improves data readiness and performance
- Enables strategic insights and operational excellence
Data operations are essential for modern data-driven businesses.
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Final Career Insight
The NielsenIQ Data Operation Analyst IV role is a strategic opportunity for data professionals seeking to specialize in data quality, operations, and enterprise analytics support. With strong technical foundations, collaboration with global teams, and exposure to advanced data workflows, this position offers a solid platform for long-term career growth in analytics, operations, and data leadership.
