Data & Analytics Engineer II - Modernize Data Platforms

First National Bank Of Pennsylvania; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

First National Bank of Pennsylvania’s employer, F.N.B. Corporation, seeks a Data and Analytics Engineer 2 to deliver comprehensive data and analytics support for all business units. You’ll work on cross-functional data-centric solutions, collaborating with BI analysts to meet customer needs and drive key business metrics.

You will design databases, queries, reports, and dashboards, while ensuring data quality and supporting data modernization initiatives within a hybrid data environment.

Qualifications

• BA or BS degree required or equivalent experience considered.
• Minimum of 3 years of related technical experience.
• 3+ years supporting a major BI/Data Warehousing system.
• Expert skills in data analysis and data mining.
• Excellent customer service, organizational, analytical and interpersonal skills.

Responsibilities

• Develop and support data and analytics solutions across the organization.
• Collaborate with BI and Data Analysts to understand customer needs.
• Design, test, and deploy dashboards, reports, and analytic models.
• Ensure data quality and consistency across environments.
• Assist in data migrations, imports and exports between systems.
• Troubleshoot analytics tools and production issues; monitor performance.

Skills

Customer service

General office equipment

Multitasking

Organizational skills

Analytical skills

Interpersonal skills

Detail-oriented

BI/Data Warehousing experience

Data analysis

Data mining

Education

BA or BS

Job description

First National Bank of Pennsylvania’s employer, F.N.B. Corporation, seeks a Data and Analytics Engineer 2 to deliver comprehensive data and analytics support for all business units. You’ll work on cross-functional data-centric solutions, collaborating with BI analysts to meet customer needs and drive key business metrics.

You will design databases, queries, reports, and dashboards, while ensuring data quality and supporting data modernization initiatives within a hybrid data environment.