Senior data analyst leading race and social - identity data strategy for Ottawa Police Service. Producing equity analyses, dashboards, and insights to improve policing and community safety.
LP
Data Consultant- Data Lineage/Risk
Posted via LinkedIn Recruiter (not a company profile)
Posted 7 months ago
About the role
- Data Consultant role focusing on data lineage and risk management for a financial client. Analyze, document data lineage, evaluate controls, and ensure compliance with US/Canadian regulations.
Responsibilities
- In this position, you will support large-scale data management standards implementation within a leading financial organization, focusing on assessing risk and compliance (US/CAN). You will analyze, document, and communicate data lineage processes across complex datasets, engaging with diverse stakeholders to ensure standards are met, all within a remote work environment. Responsibilities: Conduct data lineage analysis and produce comprehensive documentation for risk reporting datasets. Collaborate with report owners and stakeholders to prioritize key metrics and critical data elements. Perform data supply chain analysis to trace underlying data systems and transformations. Evaluate data controls, risk, and compliance requirements related to US and Canadian regulations. Work across technical and non-technical teams, including risk, compliance, and data governance professionals. Communicate findings effectively to senior stakeholders and report progress. Support the execution of enterprise data management standards and process improvements. Assist in the testing and validation of data control processes. Participate in Agile and Waterfall project environments, contributing to team deliverables.
Requirements
- Desired Skill-Set: 8+ years of experience working with large datasets in financial or risk management environments. Strong expertise in data lineage analysis and documentation. Proficiency in SQL or similar end-user query tools. Excellent MS Office skills, especially Excel, Visio, and Access. Demonstrated ability to communicate complex data concepts clearly to senior management. Solid understanding of data controls, data governance, and risk reporting processes. Experience working in Agile or Waterfall project methodologies. Ability to manage multiple priorities in a fast-paced environment. Nice to Have: Experience with Alteryx or SAS. Knowledge of data controls and data governance frameworks. Data control testing experience. Familiarity with risk reporting within financial institutions. Exposure to enterprise data management standards and processes.
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