Data Analyst Jobs

About The Position

Requirements

• Knowledge of Foundational data governance principles and how they contribute to ‘fit for purpose’ data.
• Concepts, principles and practices of internal controls and data management and governance.
• Principles of banking, finance and securities industry operations, and familiarity with accounting and finance related topics.
• General familiarity with risk and control framework of Category IV financial institution.
• Concepts of business analytics and familiarity with business intelligence tools such as Python, Tableau, Qlik, MS Power BI, MS Teams, SharePoint, etc.
• Hands-on expertise in leveraging Domain Specific Languages such as SQL to retrieve, combine and manipulate large data sets.
• Broad understanding of enterprise data management concepts, principles and current industry practices.
• Strong “soft” skills in collaboration, facilitation, coordination, logistics, presentation, marketing, and excellent communication skills (both written and verbal).
• Deep experience delivering data quality improvements and scaling data governance capabilities in a complex, transforming, multi-national banking environment.
• Organizational and planning skills, showing an ability to operate in a multi-geography, matrix organization; managing and where necessary leading activities through cross-functional teams, with the discipline to track delivery of complex deliverables over multiple months.
• Excellent communication skills (both written and verbal), including the ability to present complex concepts and strategies successfully.
• Performing gap analyses, presenting viable options and gaining ‘buy-in’ from key stakeholders.
• Deep analytical skills in tracing data from source to target and documenting the data lineage across multiple data hops.
• Demonstrated strong execution capabilities and entrepreneurial mindset to go above and beyond delivering core responsibilities.
• Ability to Analyze, problem-solve and prioritize
• Understand data models and taxonomies, with deep skills in data quality, lineage, controls and remediation
• General Experience - 6 to 10 years

Nice To Haves

• Experience in using data gap remediation and data quality monitoring tools (particularly Microsoft DevOps (TFS), Ab Initio, Collibra, IBM InfoSphere or Informatica Data Quality) is a plus.
• Familiarity with Federal Reserve Bank (FRB) and/or Office of the Comptroller of the Currency (OCC) regulatory requirements is a plus.

Responsibilities

• Fully understand various data and reporting flows across the Regulatory Reporting areas to identify data sourcing gaps
• Support the identification and documentation efforts for all Enterprise data sets
• Analyze and document the data flows from source to target systems into a Business Requirements document, identifying the data transformations that are required, as well as improvement opportunities for the data flows
• Use Ab Initio tool to load Data Catalogs and required Business Terms and definitions, link Business to Technical Data Elements, categorize criticality of each Data Element, and complete the data lineage from upstream data sources to reports
• Correspond and execute deliverables aligned with principles, policies, frameworks and procedures laid at the firm or business unit or function levels as per the guidance from the Chief Administrative Officer heading up the Business Controls & Risk function.
• Collaborate with appropriate business stakeholders/remediation owners to implement the appropriate data quality controls, help remediate data gap issues and improve processes to prevent future data concerns.
• Ongoing monitoring and maintenance of Enterprise Business Glossaries and Data Dictionaries
• Track, resolve and escalate issues for own projects while keeping relevant stakeholders informed.
• Maintain project deliverables including reporting and tracking status using PowerPoint, Excel, SharePoint, Teams and Microsoft Azure DevOps (TFS) tracking tool.
• Create effective presentations to be used with business audiences of various levels.
• Support day-to-day activities that align to data sourcing, and to optimize metrics and progress reporting processes.
• Produce and articulate meaningful data metrics and KPIs
• Help drive data governance adoption strategy and foster data culture across the organization

Benefits

• medical
• dental
• vision
• life insurance
• critical illness insurance
• accident insurance
• disability benefits
• retirement savings
• paid time off (including vacation, holidays, and sick leave)
• parental leave