Data Engineer
Senior Data Analyst – Data Management & Governance
Location Address: Hybrid (minimum once a week)
Contract Duration: ASAP until October 31, 2024 with high possibility of extension
Responsibilities:
- Support the Senior Manager on strategic data and innovation initiatives, presentations, and analysis with executive-level visibility for the Treasury Management team.
- Experience working in data management and can provide hands-on support on the implementation according to Data Office playbooks, guidelines, standards, and policies (e.g., documenting initiatives, use cases, data tiering and classification, critical data elements, and business data elements).
- Performs necessary data mapping and lineage activities and documents information flows to support specific business requirements.
- Performs data quality rule creation, and analyzes and communicates results supporting data quality processes.
- Builds the metadata model and business glossary by gathering information from multiple sources: business users, existing data sources, databases, and other relevant documents and systems.
- Participates in knowledge transfer within the team, and business units and provides recommendation opportunities to enhance productivity, effectiveness, and operational efficiency of the business unit and/or team.
- Monitors project progress by tracking activity, resolving problems, publishing progress reports, and recommending actions.
- Work in an Agile mindset to accelerate the delivery of the project.
- Prepares technical reports by collecting, analyzing, and summarizing information and trends.
- Assesses research, analyzes, and documents project needs and outcomes by selecting the appropriate information gathering and/or modeling technique to elicit requirements.
- Champions a data-driven & customer-focused culture to deepen client relationships and foster broader Bank relationships and DO knowledge.
Must-Have Skills:
1. 10+ years of working experience as a Data Analyst with a strong understanding of data concepts (metadata, data mapping, data quality, data modeling, data governance).
2. Hands-on experience working within Data Management and Operations, including proficiency in Data Management Tools (Collibra and IGC preferred) and understanding of data flows within a large enterprise.
3. Working knowledge of Data Management framework and can trace data elements at origination and as they move between systems including any transformations.
4. Working knowledge of data models, data relationships, mapping lineage, and business rules using IGC (Information Governance Console) and universal catalog.
5. Hands-on experience with developing dashboards in PowerBI and Tableau.
Nice-To-Have Skills:
Strong business acumen, data analysis, metadata documentation, and data quality controls skills specifically with respect to analyzing business process controls, sourcing, and provisioning of lineage, identifying data quality issues and proposing remediation steps.• Understanding of Bank’s systems i.e. ALM6, IGC, GC.
• Demonstrated ability to provide evidence to 2nd and 3rd line.
• Understanding or experience with Treasury.
• Cloud platforms and related data services knowledge (e.g., Google Cloud Platform, Microsoft Azure, Amazon Web Services).
Best vs. Average Candidate:
• An average candidate will only have experience with data governance, whereas the ideal candidate will have expertise in both data governance and data analytics.
• Extensive experience with Power BI and Tableau.
• Detail-oriented and ability to work independently.