Data Analytics Engineer 1 - Pittsburgh or Hermitage, PA

F.N.B. Corporation•Pittsburgh, PA

About The Position

This position provides comprehensive data and analytics support for business units across the corporation. The engineer works on low-complexity and cross-functional, data-centric solutions and contributes to multiple projects as a team member. The role collects, analyzes, and shares data to help business teams improve key business metrics, customer experience, and business results. Work is performed under frequent supervision by more senior team members and managers. The position is accountable for data profiling and analysis for credit, retail banking, and master data management systems. It uses database and web application technologies to develop and evaluate business intelligence tools and automated reports, and supports the integration and troubleshooting of analytical platforms, systems, and software. The role follows corporate data policies and regulatory requirements, and employees are responsible for understanding, reporting, responding to, managing, and monitoring business risks.

Requirements

Associate degree required as the minimum education level.
0 years of job-related experience required.
Detail-oriented.
Ability to work and multitask in a fast-paced environment.
Excellent organizational, analytical, and interpersonal skills.
Excellent written and verbal communication skills.
Excellent customer service skills.
Python, SQL, SSIS, and SSRS coding skills.
ETL experience required.
Experience with BI/data analysis tools required.
Candidates should be skilled with database tools such as SSIS, SQL Server, or Oracle.
Must be legally authorized to work in the United States; employment-based visa sponsorship is not provided.

Nice To Haves

C# experience is a plus.
Technology internship and/or six months of work experience in a technology position is preferred, but not required.

Responsibilities

Work with Business Information and Data Analysts to understand customer needs.
Collect, analyze, and share data to help business teams improve key business metrics, customer experience, and business results.
Use database and web application technologies to develop and evaluate business intelligence tools and automated reports.
Develop and test analytical solutions, including databases, queries, views, reports, and dashboards.
Assist with data conversions and import and export of data within and between internal and external software systems.
Document new and existing models, solutions, and implementations.
Design and build reporting and analysis tools that make reporting, analysis, planning, and forecasting more efficient.
Support and assist with integrating analytical platforms with enterprise systems and applications.
Troubleshoot analytics tools, systems, and software, and track performance and production issues.
Assist with performance tuning of analytics applications as needed and escalate production issues as appropriate.
Ensure collected data meets required quality standards and maintain the Metadata Repository by adding, modifying, or deleting data as needed.
Perform assignments using independent judgment and corporate data policies, keeping the supervisor informed as necessary.
Perform other related duties and projects as assigned.
Understand, report, respond to, manage, and monitor risks encountered in daily work as required by the corporation’s risk management program.
Comply with regulatory laws, guidelines, and company procedures.