The Role & Requirements

We are looking for a Data quality Analyst to further use the regulatory data to drive product decisions. Working with cross-functional teams composed of product managers, designers, and engineers, you’ll apply your expertise to deliver customer insights and help shape the products we deliver to our customers. You will leverage rich user data using cutting-edge technology to see your insights turned into real products.

Key Responsibilities

• Performing statistical tests on large datasets to determine data quality and integrity.
• Evaluating system performance and design, as well as its effect on data quality.
• Collaborating with AI and Data Engineers to improve data collection and storage processes.
• Running data queries to identify quality issues and data exceptions, as well as cleaning data.
• Gathering data from primary or secondary data sources to identify and interpret trends.
• Reporting data analysis findings to management to inform business decisions and prioritize information system needs.
• Documenting processes and maintaining data records.
• Adhering to best practices in data analysis and collection.
• Keeping abreast of developments and trends in data quality analysis.

Required Experience/Skills

• Data Quality analysis experience is a must (root-cause analysis, data slicing )
• Designing, building and executing data quality plans for complex data management solutions built on modern data processing frameworks.
• Understanding the data lineage and preparing validation cases to verify the data during every stage of the data processing journey.
• Planning, designing and conducting validations of the data related implementations to achieve an acceptable result.
• Develop datasets creation scripts for verification of data at extraction, transformation and loading phases by verifying the data mapping & transformation rules.
• Support AI and Product Management teams by contributing to the development of the data validation strategy focusing on building the regression suite.
• Document issues and communicate with data engineers to resolve issues and ensure quality standards.
• Consistent and efficient approach to capturing business requirements and translating them into functional, non-functional, and semantic specifications
• Data Profiling, Data Modeling and Data Validation Testing experience a plus
• 1 to 3+ years of proven experience.
• Excellent presentation, communication (oral & written) in English, and relationship building skills, across all levels of management and customer interaction
• Ability to work with team members across the globe and across departments.