About the Role
The individual in this role will ensure data accuracy, perform advanced processing tasks, and support large-scale data projects using technical expertise and attention to detail.
Responsibilities
- Process and validate incoming datasets from multiple sources
- Apply quality control measures to ensure data integrity
- Transform raw data into structured formats for analysis
- Identify and resolve data inconsistencies or anomalies
- Collaborate with project teams to meet deliverable timelines
- Maintain documentation for data processing workflows
- Support automation initiatives for repetitive data tasks
- Monitor data pipelines for performance and accuracy
- Troubleshoot technical issues during data ingestion
- Ensure compliance with data handling protocols
- Work with cross-functional teams to clarify data requirements
- Prepare datasets for statistical analysis and reporting
- Implement data security best practices
- Optimize processing methods for efficiency and scalability
- Respond to data-related inquiries from internal stakeholders
- Stay current with data processing tools and techniques
- Participate in testing new data systems and platforms
- Assist in the development of data validation rules
- Track processing metrics and report on performance
- Escalate critical data issues to appropriate teams
- Support audit readiness for data processes
- Ensure adherence to project-specific data standards
- Coordinate with technical teams on system integrations
- Maintain version control for processed datasets
- Contribute to process improvement initiatives
Compensation
Competitive salary and benefits package offered
Work Arrangement
Hybrid work model with flexible scheduling options
Team
Collaborative data operations team within a global insights organization
About the Role
This position plays a key role in ensuring the reliability and usability of data used in research and client reporting. The candidate will work across departments to deliver high-quality datasets on schedule.
What We Value
We prioritize precision, accountability, and innovation in all data handling activities. Candidates should demonstrate a consistent track record of managing complex data with minimal supervision.
Not available for this position
