Data Integrity Specialist

Experience:

About the Role:

We are seeking a sharp, detail-oriented professional to manage and enhance the

accuracy of critical datasets used for analysis and reporting.

This role combines analytical thinking with operational execution — ensuring that information across

systems is current, consistent, and insight-ready.

You’ll work closely with research and product teams, using both manual and

automated methods to update, validate, and interpret key data points.

Key Responsibilities:

• Maintain and update core datasets with accuracy and accountability.
• Review data inconsistencies and take corrective action based on clear logic and contextual judgment.
• Collaborate with internal teams to verify and enrich information from multiple trusted sources.
• Support data audits, ensuring compliance with quality benchmarks and version control standards.
• Identify recurring data issues and propose process improvements or automation ideas.

Requirements:

• Bachelor’s degree in any field with strong analytical or logical skills.
• 1–2 years of experience in data operations, MIS, or data research roles.
• Proficiency with Data sets and comfort working with large data volumes.
• Strong observation, reasoning, and decision-making ability — especially when data requires contextual interpretation.
• Exposure to Python, SQL, or automation tools is a plus.

What We Offer:

• Opportunity to work with structured and unstructured data that directly feeds into decision systems.
• A dynamic, growth-focused environment where precision and ownership matter more than routine.
• Exposure to cross-functional projects, data tools, and automation pipelines.

*Depending on the candidate's skills and performance, there may be an opportunity to transition to a hybrid work model in the future. This decision will be made at the company's discretion.