Data Analytics Developer Associate or Data Analytics Developer at Federal Reserve Bank (FRB) in Cleveland, Ohio

Job Description:

Company

Federal Reserve Bank of Cleveland

The Federal Reserve Bank of Cleveland is part of the nation’s central bank and we’ve provided many opportunities for professional growth during our history.

For twenty-four years in a row, we’ve been named “One of Northeast Ohio’s Best Places to Work” by North Coast 99. This prestigious award honors organizations with outstanding employment practices, including compensation, benefits, training, recruitment, retention, community services, and employee communications.

Our People Make the Difference! The Federal Reserve Bank of Cleveland is seeking innovative thinkers with vision to build the framework that will carry the Bank into the future.

Follow us on LinkedIn, Twitter, Instagram, and our YouTube channel – Cleveland Fed

This role is based in Cleveland, Ohio, and is a hybrid work arrangement - individuals may be required to work some days in the Federal Reserve Bank of Cleveland while working the other days from home.

Organizational Expectations:

In this role you will be responsible for the analysis, design, development, maintenance, and support of analytic tools such as dashboards and data visualizations for customers across a variety of technology platforms and/or business lines in the Federal Reserve System. You will join the Data Analytics team within the bank’s Information Technology function and work within a scrum team to deliver analytics solutions using Agile and product-oriented practices. While the team is strongly supported by a product management function, as a developer you will have many opportunities to interact with a diverse set of stakeholders across the Bank and to bring a consultative mindset to those discussions. We want to help you grow into a seasoned expert in data analytics through a blend of collaborative and independent assignments. Our ideal candidate thrives in a learning culture, demonstrates curiosity, and digs deep to understand the “why” behind an ask.

General Responsibilities:

• Provide technical direction, planning and coordination of various data analytics and data engineering assignments.




• Code, debug, test, deploy, support and document data pipelines, data storage solutions, and data visualization tools.




• Analyze customer business needs and recommend and implement data solutions to increase process automation, user experience, and launch of new products and services.




• Provide ongoing technical support to customers, including support for migrations of basic data analytical tools and visualizations into various environments. Provide dashboard and technical support during all phases of the application lifecycle.




• Design, prototype, and develop data analytics and visualization tools.




• Support the creation and implementation of data management practices that enable effective data governance for our stakeholders.




• Incorporate security and other relevant bank and system controls into solutions. Comply with information security, data protection, and audit requirements.




• Adhere to bank and system software development methodologies and standards – recommend changes to processes where applicable.




• Promote innovation by staying current on industry trends in data analytics and data management.

Education and Experience:

• Data Analytics Developer Associate: Bachelor's degree with no prior professional work experience or Associate's Degree with 3+ years of professional work experience.




• Data Analytics Developer: Bachelor's degree with 3+ years of related work experience or Associate's Degree with 5+ years of professional work experience.

Knowledge and Skills:

• Analytical and critical thinking skills to connect data and technology to business needs




• Ability to perform basic to moderately complex independent research




• Ability to document technical designs and business logic in clear written and visual forms.




• Experience with Agile development methodologies




• Proficient with data architecture design and development including a thorough understanding of SQL, data relationships, and data analysis




• Experience applying intermediate coding concepts, with Python and SQL experience preferred




• Experience with data science, machine learning, or artificial intelligence tools and techniques




• Experience creating data visualizations and communicating with data. Exposure to popular visualization tools such as Tableau or PowerBI is helpful




• Experience working with cloud technologies or cloud data platforms, such as Databricks or Starburst, is helpful




• Familiarity managing code and artifacts using a source control system such as git




• Understanding of data management practices

Physical Demands and General Working Conditions:

Traditional office environment: Employees typically sit most of the day, work with a computer and may answer/respond to phone calls. Physical movement consists of walking for meetings, breaks, etc. Ability to lift items weighing approximately 20 pounds on a limited basis is required. Addendum as needed: Employees may be required to travel by car/air.

Full Time / Part Time

Full time

Regular / Temporary

Regular

Job Exempt (Yes / No)

Yes

Job Category

Analytical

Work Shift

First (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.

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