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Statistics & Data Management Analyst I – Division of Information Technology - R024599

Primary Location : DC-Washington

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Employee Status : Regular

Overtime Status : Exempt

Job Type : Standard

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Relocation Provided: : Yes

Compensation Grade Low: : FR PAY GRADE 23

Compensation Grade High: : FR PAY GRADE 25

Minimum Salary: : $78,800.00

Maximum Salary: : $125000.00

Posting Date : Jul 25, 2024

Minimum Education
Bachelor's degree or equivalent experience


Minimum Experience
1

 

Summary
Participates in ensuring the conformity, consistency, completeness, accuracy, validation, and timeliness of financial, banking structure, survey, and business data using a foundational knowledge of banking, economics, finance, accounting, and data management concepts. Supports data collection, transformation, evaluation, implementation, analysis, availability, and management of data and data management systems and tools. With extensive guidance, communicates with customers, project team members, project sponsors, and/or stakeholders to gather project information, requirements, and/or ensure customer satisfaction.


Duties and Responsibilities

• With extensive guidance, performs data analysis to ensure the quality (conformity, consistency, completeness, accuracy, and timeliness) of financial data, banking structure data, survey data, contextual information data, and business data used for monetary, supervisory, research, and organizational decision-making purposes.

• Participates in providing data support services to end users, which includes data quality assurance activities (conformity, consistency, completeness, accuracy, and timeliness) and troubleshooting and researching data-related questions. Participates in relevant internal task forces and committees that impact data management support.

• Shadows more senior staff to learn how to develop business requirements and report requirements for programmers to use in developing applications or automated programs to support analytical work, collect and make data accessible, and allow for the release of public information. With extensive guidance, ensures key security, regulatory, and policy requirements are adhered to with own work.

• Applies foundational level knowledge of the Board’s statistics requirements to ensure Reserve Banks’ adherence to policies, procedures, and best practices of data management services and status reporting. Participates in projects to establish or strengthen the data management program, data governance framework, methodologies, and data quality program.

• Shadows more senior staff to learn how to conduct product owner tasks such as monitoring product schedules and keeping stakeholders informed on the development and maintenance of systems, tools and platforms supporting operational capabilities.

• Shadows more senior staff to learn how to document test cases and identify issues in systems used to facilitate data management work.

• Supports gathering and analyzing data on the current business architecture and processes to identify root causes of issues, trends, patterns, and opportunities that impact the business line and stakeholders; reviews existing business processes and establishes metrics to improve processes.

• Conducts research on reporting requirements and guidance based on foundational knowledge of financial markets and institutions, and regulatory/monetary/structure data reporting for use by Board, Reserve Bank staff, and reporting institutions.

• Participates in developing metrics (e.g., on services, staff utilization, and performance) and creating documentation (e.g., strategic plan, policies, procedures, reports, charters, evaluations) for the national Statistics business line.

Duties and Responsibilities
·         With extensive guidance, performs data analysis to ensure the quality (conformity, consistency, completeness, accuracy, and timeliness) of financial data, banking structure data, survey data, contextual information data, and business data used for monetary, supervisory, research, and organizational decision-making purposes.
·         Participates in providing data support services to end users, which includes data quality assurance activities (conformity, consistency, completeness, accuracy, and timeliness) and troubleshooting and researching datarelated questions. Participates in relevant internal task forces and committees that impact data management support.
·         Shadows more senior staff to learn how to develop business requirements and report requirements for programmers to use in developing applications or automated programs to support analytical work, collect and make data accessible, and allow for the release of public information. With extensive guidance, ensures key security, regulatory, and policy requirements are adhered to with own work.
·         Applies foundational level knowledge of the Board’s statistics requirements to ensure Reserve Banks’ adherence to policies, procedures, and best practices of data management services and status reporting. Participates in projects to establish or strengthen the data management program, data governance framework, methodologies, and data quality program.
·         Shadows more senior staff to learn how to conduct product owner tasks such as monitoring product schedules and keeping stakeholders informed on the development and maintenance of systems, tools and platforms supporting operational capabilities.
·         Shadows more senior staff to learn how to document test cases and identify issues in systems used to facilitate data management work.
·         Supports gathering and analyzing data on the current business architecture and processes to identify root causes of issues, trends, patterns, and opportunities that impact the business line and stakeholders; reviews existing business processes and establishes metrics to improve processes.
·         Conducts research on reporting requirements and guidance based on foundational knowledge of financial markets and institutions, and regulatory/monetary/structure data reporting for use by Board, Reserve Bank staff, and reporting institutions.
·         Participates in developing metrics (e.g., on services, staff utilization, and performance) and creating documentation (e.g., strategic plan, policies, procedures, reports, charters, evaluations) for the national Statistics business line.
FR – 23 Minimum Qualifications:
Requires a bachelor’s degree in business, economics, finance, mathematics, computer science, information technology, or related field and one year of experience. Must have novice to foundational knowledge in the following areas: systems automation, project coordination, financial analysis, data flow management, data collection, consulting, business process improvement, risk management, technical writing, technical communication, presentation skills, and administration. Must be able to work effectively with more senior staff. Must be able to support more senior staff with one or more of the following: data analysis; conducting research in areas relevant to division or Board needs; and/or developing and implementing data collection and analysis tools.
FR – 24 Minimum Qualifications:
Requires a bachelor’s degree in business, economics, finance, mathematics, computer science, information technology, or related field and three years of experience. Must have foundational to intermediate knowledge in the following areas: systems automation, project coordination, financial analysis, data flow management, data collection, consulting, business process improvement, risk management, technical writing, technical communication, presentation skills, and administration. Must be able to work effectively with more senior staff. Must be able to support more senior staff with one or more of the following: data analysis; conducting research in areas relevant to division or Board needs; and/or developing and implementing data collection and analysis tools.
FR – 25 Minimum Qualifications:
Requires a bachelor’s degree in business, economics, finance, mathematics, computer science, information technology, or related field and four years of experience. Must have intermediate knowledge in the following areas: systems automation, project coordination, financial analysis, data flow management, data collection, consulting, business process improvement, risk management, technical writing, technical communication, presentation skills, and administration. Must be able to work effectively with more senior staff. Must be able to assist more senior staff with one or more of the following: data analysis; conducting research in areas relevant to division or Board needs; and/or developing and implementing data collection and analysis tools.
This position is for the IT Monetary and Research Reports unit within Board IT Statistics whose main responsibility is supporting a varied portfolio of data collections used for monetary and fiscal policy. The IT Monetary and Research Reports unit is part of the Federal Reserve’s Statistics Function – a national business line that collects financial, banking structure, survey, and business data and provides data management services to ensure information is fit for use.  New employees may participate in a local Board IT Statistics rotation program that would provide the employee an in-depth engagement with all Board IT Statistics units to develop their knowledge and expertise of the Statistics business line. A new employee’s exposure and engagement within Board IT Statistics would ensure a thorough knowledge and understanding of Board Statistics’ processes and procedures for providing services to stakeholders, performing program management support, and directing the national business line.
The Statistics & Data Management Analyst is responsible for performing financial and structure data analysis for financial institution reported data. The analyst is responsible for implementing new data collections and managing changes to existing data collections, which includes developing quality assurance checks and methodologies, drafting business operational procedures, providing written business requirements for automation tools and testing the business requirements, and recommending improvements/ enhancements to the data collection and/or data collection processes. Thorough understanding of information processing issues and environments (e.g., distributed and web), and good knowledge of various software such as SAS, SQL, Tableau, Python, R, and Microsoft Excel are desirable.  Thorough understanding of analytical techniques involved in financial data analysis such as ratio analysis, peer analysis, trend analysis, and statistical modeling is desired. Maintaining awareness of evolving information processing technologies and financial industry trends through professional publications and outside contacts is required.
This position is hybrid, requiring a combination of telework and in-office presence in Washington, DC.