CompanyFederal Reserve Bank of St. LouisThe Federal Reserve Bank of St. Louis serves as a fiscal agent to the U.S. Department of the Treasury and supports services in partnership with the Treasury. Our Forecasting and Cash Reporting business lines provide analytical and operational support for Treasury’s mission-critical functions.The Federal Reserve Bank of St. Louis is looking for a Senior Data Analyst to work with a diverse team of analysts, engineers and data scientists in an agile team environment. In this role, you will utilize analytical and communication skills to ensure that important business metric reporting is accurate and timely, coordinate activities related to account maintenance operations and assist in monitoring a variety of cloud services.Responsibilities
Create and maintain business intelligence reports supporting the Forecasting and Cash Reporting business lines.
Contribute to weekly, monthly and quarterly certification reviews to support account management controls.
Communicate account changes and test requirements to a broad group of stakeholders within the Federal Reserve and Treasury to ensure daily account reconciliation is successful.
Understand all areas of the Forecasting and Cash Reporting business lines and the value of different perspectives to identify and recommend innovative process solutions.
Critically evaluate business problems to identify how our services or data can create value for our clients.
Help identify data quality issues and recommend the best course of action to address them.
Assist in maturing agile practices and principles to achieve business outcomes through value-added system or process changes.
Qualifications
Bachelor's degree in Business, Finance, Economics, Computer Science, Mathematics or similar field of study or commensurate experience
Strong problem-solving skills with a drive to learn and implement new technologies and techniques
Excellent written and verbal communication skills
3 years of relevant experience with a combination of the following:
Analytical and problem-solving skills with attention to detail and accuracy.
Organizational, time management, and relationship building skills, and ability to work effectively within a team environment
Operate in a collaborative, team-based environment, including taking direction from colleagues and key stakeholders when necessary to improve quality and service
Perform computational and mathematical analyses to complete tasks of varying complexities ranging from descriptive reporting to complex analyses such as anomaly detection, trend evaluation, and modeling
Concentrate on complex material, have good judgment, and correctly apply the results of research and analysis
Present and convey results of analyses to different audiences; experience in data storytelling
Maintain confidentiality and handle sensitive information
Use Microsoft Office Suite (Excel, Word, PowerPoint)
Proficiency in Microsoft Excel
Experience with SQL and at least one analysis tool (e.g., SAS, R, or Python)
Experience analyzing fraud or suspicious activity
AWS Cloud Practitioner Certification or training preferred
Travel (5%)
US Citizen
Candidates with less experience may be considered at a lower grade and pay-rate
Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation TechnologyWork ShiftFirst (United States of America)The Federal Reserve Banks believe that diversity and inclusion among our employees is critical to our success as an organization, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.Always verify and apply to jobs on Federal Reserve System Careers ( https://rb.wd5.myworkdayjobs.com/FRS ) or through verified Federal Reserve Bank social media channels.Privacy Notice (https://www.kansascityfed.org/documents/7797/WorkdayPrivacyNotice.pdf)