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The Data Management Consultant will drive the implementation of Data Quality Management practices to define, monitor and measure data against business expectations throughout its life cycle. The role will primarily work on projects, collaborating closely with other members of a small, high-performing team, partnering with Data Stewards and Owners, and working with other IT and business stakeholder groups as required to ensure the accuracy of business rules and evolve practices to effectively maintain the health of critical data assets.
Responsibilities
Data Profiling – Develop and execute quality profiling rules and dashboards using different tools like IBM Cognos, SAP Data Services, SAP Information Steward, MS SQL, Power BI, Ataccama, SAS, Excel etc
Support Activities – Provide support when necessary for reporting, dashboard, and other data governance activities
Validation and Troubleshooting – Ensure that quality rules and lineage are accurately built using validation tools and understanding SAP and EDW tables, dimensional models, or documentation to further define rules.
Develop data quality reports from the EDW and / or SAP to validate rules and provide details of records with poor data, troubleshoot variances when results do not match
Execute tasks required to service the business from a data quality perspective
Provide data quality management expertise to business and IT on best practices
Develop data quality rules based on Data Steward direction utilizing existing technology
Facilitate the investigation into root cause of data quality issues by working with Stewardship and IT teams
Coordinate and lead the execution of tasks required to service the business from a data quality perspective
Deliver data management and governance reporting and metrics for tracking levels and progress
Develop and maintain Data Governance and Quality Dashboards within IBM Cognos, SAP Information Steward
Track the status and progress of data quality rule creation
Provide guidance to Stewards, users and business / IT stakeholders to help understand metrics, logic, and technical know-how
Contribute to the development of data quality management best practices, standards, guidelines and processes
Requirements
3+ years of related Data Management experience
Hands-on experience performing data quality checks on large volumes of data stored in relational databases.
5+ years of SQL experience
Regulated financial services experience is preferred
SAP and IBM software experience an asset
Data systems / tools and related software for information profiling, quality and metadata management, ideally SAP suites, IBM Cognos or Ataccama
Strong understanding of data quality standards, policies, processes, and procedures
Knowledge of risk management practices and techniques
Excellent oral, written and interpersonal communication skills
Proven analytical and problem solving skills
Ability to function independently
Highly organized and extremely detail oriented with continuous attention to detail and the ability to understand highly technical conversations related to data tables, fields, formats, functions, variables, etc. quality
Experience with data management technology
Business and data requirements analysis and documentation
Working knowledge of implementing data quality dimensions
This is a minimum 6 month contract position, with a possible extension located in downtown Toronto.