Data Integrity Analyst

Markaaz

Markaaz is on the lookout for a Data Integrity Analyst who will be instrumental in leveraging data for insightful business growth. The selected candidate will join a team dedicated to ensuring high data quality and accuracy, playing a pivotal role in analytical operations and data management improvements.

In this role you can expect to have the responsibilities:

• Develop and maintain processes for data validation ensuring accuracy and consistency.
• Identify and resolve data anomalies by investigating discrepancies and inconsistencies.
• Define and document metrics for data quality benchmarks and track performance.
• Collaborate with engineering, product management, and operations teams for data quality enhancements.
• Perform root cause analysis on data discrepancies and suggest long-term solutions.
• Monitor and improve supplier data quality performance and provide feedback.
• Create data documentation guidelines and best practices.
• Fulfill additional duties as assigned.

This role comes with the following benefits:

• Predominantly remote work environment.

This role requires you to have:

• 2+ years' experience in a Data Analyst role.
• Proficiency in Python, PowerBI, SQL, and database management.
• Strong analytical skills for large dataset management.
• Excellent communication and presentation skills.
• Attention to detail and problem-solving abilities.
• Ability to work independently and manage multiple projects.
• Fluent in English.

You would benefit from having:

• Knowledge of machine learning and predictive modeling.
• Experience with data frameworks like Hadoop and Spark.
• Familiarity with data quality tools such as Greatexpectations.io or Monte Carlo.
• Understanding of development processes and engineering standards.

Eligible candidates must legally be able to work in the United States and be willing to undergo background checks. This position supports candidates with disabilities, providing accommodations as per the Americans With Disabilities Act, provided it does not cause undue hardship.