Data Quality Analyst

Job Title: Data Quality Analyst
Location: Remote – Latin America (Colombia preferred)
Type of Contract: Full-Time | Contractor
Salary Range: Market Rates
Language Requirements: English – Professional Fluency

We are seeking a skilled Data Quality Analyst with strong experience in data governance, SQL, and enterprise systems like Salesforce to join our growing team. You will play a key role in ensuring the accuracy, consistency, and reliability of critical business data across multiple domains. Your work will directly impact data-driven decision-making, operational efficiency, and overall business performance.

Key Responsibilities

• Perform in-depth data profiling and analysis to identify data quality issues, anomalies, and inconsistencies
• Develop and implement data quality rules, checks, and monitoring frameworks
• Automate data quality validations and reporting processes to improve scalability and efficiency
• Build and maintain dashboards and reports to track data health and quality metrics over time
• Investigate root causes of data issues and collaborate with cross-functional teams to implement remediation plans
• Create and manage Jira tickets to track issues through resolution with clear documentation and RCA
• Act as a data quality advocate, promoting best practices and continuous improvement across the organization

Must-Have Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, or related field
• 5+ years of experience as a Data Quality Analyst or similar role
• Strong SQL skills for data querying, analysis, and manipulation
• Hands-on experience with Salesforce (SFDC) and enterprise systems like Workday
• Experience working with data warehouses (Snowflake preferred)
• Solid understanding of data management principles and database technologies
• Strong analytical, problem-solving, and communication skills with the ability to explain technical concepts to non-technical stakeholders

Preferred Qualifications

• Experience with Quote-to-Cash (Q2C) processes
• Familiarity with data quality and governance tools such as Collibra or Monte Carlo
• Experience with scripting languages such as Python for automation and analysis
• Knowledge of various data domains (e.g., billing, contracts, financial data)
• Certification in data management or data quality (e.g., CDMP)
• Experience leveraging AI/LLMs to improve data analysis and anomaly detection