LdAnlyst, Fin Plan&Analy

Job Description

Finance Chief Data Office is a newly formed team to establish the data governance framework across Finance. The team partners with the Data Strategy and Digital groups to execute the data disciplines. We supports data consumers to drive data quality across Finance functions, including accounting, regulatory and financial reporting, CFO teams and corporate treasury. We aim to provide transparency of our data asset and actively manage the asset to contribute to the fulfilment of regulatory requirements and creation of operational efficiency. The CDO function plays a critical role in the transformation of the organization by connecting data, technology, processes and controls.

Description

Data Modeling is one of the core capabilities of the Finance CDO team to support an efficient and effective Finance wide Data Strategy. The Senior Data Modeler is a critical role in translating business needs into the information required to deliver solutions. The role will be a key leader across multiple projects working with Data Architects in understanding architectural directions, gathering and analyzing business requirements, and developing the appropriate data structures. In addition, the role will have significant influence in Finance Data as a Service initiatives. This position will play a key role in the transition from traditional reporting to a more dynamic, real-time analytics environment ensuring a foundation to deliver information to internal consumers at all levels in the organization.

This staff position is expected to work with large amount of information (structured and unstructured), interact with various stakeholders (technical and non-technical) in order to come up with the Finance level data model:

• Define the types of metadata that will be captured and shared, including business, technical, and operational metadata that impacts Finance
• Consult, facilitate understanding and translate data requirements into logical, physical and semantic layer models across the analytical data environment
• Ensure data structures are designed for flexibility to support future business needs
• Profile and analyze source system data to determine data relationships, design constructs, consistency and quality.
• Enable and guide analytics user community in the understanding, location and selection of appropriate data sources to achieve key business goals
• Ensure that data designs follow architectural best practices and appropriate business rules
• Create and maintain critical data documentation and metadata that allows data to be understood and leveraged as a shared asset.
• Analyze and evaluate data definition and modeling environment providing key recommendations for improvement. Assist in defining data modeling standards, and foundational best practices

The staff member will be expected to cultivate relationships with staff or contractors in: Technology, Data Strategy, Data Operations, Finance and Corporate Treasury to ensure efficient identification, collection, and use of data along with the management of the associated data governances processes.

Job Grade: I

Qualifications

• Bachelor’s degree or the equivalent combination of education and experience is required.
• Degree in math, engineering, statistics, computational finance or economics preferred.
• Four to six years of total work experience preferred.
• Experience with finance data set and process: Balance Sheet, P&L, Consolidations, Client Product Profitability, liquidity analytics and reporting, interest rate risk management, asset-liability management, regulatory reporting, is strongly preferred.
• Knowledge of the structuring of data environments and applications that use big data processes is a preferred.
• Some experience with Business Intelligence data management and visualization applications specific to Hadoop big

BNY Mellon is an Equal Employment Opportunity Employer.

For further information, and to apply, please visit our website via the “Apply” button below.