Responsibilities
- Collaborate across teams to implement data governance policies for data ingestion and operational processes.
- Manage data sets to the defined rules and controls. Develop / implement new rules and controls as needed. Remediate data issues.
Address quality issues surfaced in the data set, engage vendors and stakeholders where necessary.
- Define data policies and controls for new data requirements.
- Analyze and document data methodologies and data feed structures related to internal and external data sources.
- Provide Data Ownership and subject matter expertise for reference data and aggregate data.
- Provide data quality metrics for guidance on Enterprise data sets.
- Establish working relationship with key stakeholders and manage stakeholder expectations.
- Provide thought leadership and participate in projects that enhance / improve data life cycles, processes, quality, and governance.
- Identify and document data quality problems and opportunities to improve data quality controls via data profiling and advanced analysis.
- Document, assess, influence, and synthesize business requirements to develop and advance data platform and stewardship capabilities.
- Translate complex business requirements into focused technical requirements and data solutions.
- Conduct detailed UAT against complex requirements and data structures. Work closely with developers to resolve issues discovered via testing and develop solutions to address logic / design deficiencies.
Key Qualifications / Skills :
- Extensive hands-on experience analyzing and interpreting investment data with strong knowledge of the Investment Management industry
- 10+ years of Investment Management experience.
- Comprehensive data analysis skills with ability to detect anomalies, patterns, and data quality issues.
- Strong SQL skills experience with Snowflake is a plus.
- Excellent communication skills including the ability to communicate effectively in both formal and informal contexts tailored for the audience.
- Knowledge of Data Governance & Data Quality and the relevant tools.
- Hands-on experience in project management
- Ability to manage enterprise scale data projects.
Preferred Skills :
- Experience working with BI reporting tools like Tableau or Power BI is preferred.
- Knowledge in coding, Python is a plus.
- Familiar with agile process and JIRA
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