Data Management/Quality Manager
1 month ago
DATA QUALITY MANAGER:
Our client is a global FTSE 250 company with a great reputation for delivery to their client base across a broad range of services. The role involves supporting the Product Owner in maintaining data quality and integrity across various systems and processes. This includes assisting in system improvements and establishing a connection between in-house software and Power BI. The position aims to ensure cohesion and quality assurance between in-house software and Power BI development, emphasizing proper governance and effective Change Control.
Whilst the role is remote, you will be required to travel 2-3 times a quarter to Cheshire.
Create and manage Data Quality Syntax Models for in-house software and PowerBI to promptly identify and resolve errors and trends.
Monitor API and ETL errors for data integrity between in-house software, PowerBI, and third-party systems.
Conduct comprehensive Data Quality Analysis, covering completeness, validity, timeliness, volume, and trends.
Collaborate with the product owner, acting as a subject matter expert to devise solutions for data quality issues.
Lead data cleansing initiatives to enhance overall data accuracy and provide training on best practices.
Review development stories, establishing and managing quality metrics for timely development.
Support stakeholders in resolving data integrity risks identified via Power BI and address system process issues.
Utilize Appian for data capture solutions, identify process capabilities, and lead improvements based on root causes.
Ensure proper logging and tracking of projects and risks, conducting impact assessments on Data Quality for change decisions.
Facilitate Bi-Weekly BAT and UAT testing, owning and updating the BAT Master User tracker.
Experience supporting business-led data governance and conducting successful data quality improvement initiatives.
Experience in the creation and adoption of data governance frameworks, tools, and products (including data quality concepts and principles).
Comprehensive knowledge in DQM tools and techniques and Microsoft Power BI, Appian would be advantageous.
Knowledge of database management systems (DBMS) and SQL is desirable but not essential.
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