Business Data Quality Analyst

Are you an analytical professional with a strong focus on data quality?

In this role, you will work closely with various business units within AFG (Asset Finance Group, the leasing arm of Investec) and Investec plc. Your primary responsibility will be to ensure that the data required by the credit modellers is accurate, complete, and fit for purpose. You will systematically analyse large historical datasets to identify and remediate data quality issues based on established business processes.

Key Responsibilities:

As a Business Data Quality Analyst, you will:

• Collaborate with the Credit Modelling Team to understand their data requirements and identify available data sources.
• Conduct thorough gap analyses to identify discrepancies between required and available data.
• Systematically evaluate large historical datasets to identify and remediate data quality issues.
• Develop and implement a framework for assessing data quality dimensions, including accuracy, completeness, consistency, timeliness, and validity.
• Specify and build data validations to proactively identify potential data quality issues.
• Create functional specifications for technical solutions that address identified data quality gaps, ensuring clarity and precision for technical teams.
• Partner with Operations and Tech teams to implement data quality remediation processes and necessary changes to enhance data integrity.
• Maintain and enhance the business glossary and data dictionary, ensuring that definitions and standards are clear and accessible across the organisation.
• Document data quality assessments, methodologies, and remediation processes to create a repository of knowledge for future reference.
• Monitor and report on data quality metrics to track improvements and identify ongoing issues.
• Provide training and support to stakeholders on data quality best practices and the importance of data governance.

Core Skills and Knowledge:

To succeed in this role, you should possess:

• A strong understanding of data governance principles and the application of core data fields.
• Experience in data mapping and familiarity with business glossaries and data dictionaries.
• Proficiency in SQL for data access and analytical evaluation.
• Familiarity with the Azure stack and data warehousing concepts.
• Excellent communication skills, both written and verbal, with the ability to convey technical concepts clearly to non-technical stakeholders.
• Strong analytical and diagnostic skills, with a keen attention to detail and the ability to identify gaps in data quality.

Desirable Attributes:

While not essential, the following attributes would be advantageous:

• Knowledge of the asset finance industry and credit data.
• A collaborative mindset and the ability to work under pressure.
• Initiative and creative problem-solving capabilities.
• Tenacity and self-motivation to drive tasks to completion.