Data Analytics Developer or Data Analytics Developer Senior

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-six 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, X, Instagram, and our YouTube channel – Cleveland Fed

Location: Cleveland, OH, Columbus, OH, Cincinnati, OH, or Pittsburgh, PA

Organizational Expectations:

As a data analytics developer or data analytics developer senior 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:

• Develop and maintain data pipelines, data storage solutions, and data visualization tools.

• Design and implement analytics and visualization tools to transform complex data into actionable insights.

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

• Provide ongoing technical support to customers, including dashboard and technical support during all phases of the application lifecycle.

• 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, artificial intelligence, and data management.

Education and Experience:

• Data Analytics Developer: Associates degree and 5 years of related work experience OR

• Bachelor’s degree and 3 years of related work experience OR Master’s degree and 0-1 year of related work experience

• Data Analytics Developer Senior: Associates degree and 7 years of related work experience OR

• Bachelor’s degree and 5 years of related work experience OR Master’s degree and 3 years of related work experience

Knowledge and Skills:

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

• Ability to conduct independent research on technical topics

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

• Familiarity with Agile development methodologies

• Proficiency in 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 insights through data. Exposure to popular visualization tools such as