Top Analysis Reporting Jobs in Pittsburgh, PA

Design, develop, and support enterprise ETL workflows and data pipelines using Informatica PowerCenter and PowerExchange. Process mainframe data, implement transformations and business rules, optimize SQL, and work with relational and NoSQL databases. Monitor and troubleshoot ETL jobs, validate data quality, maintain technical documentation, and collaborate with business analysts, QA, and application teams to translate requirements into technical solutions.

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

Leads data reporting and analytics initiatives by partnering with stakeholders, identifying business information needs, extracting and analyzing data, developing solutions, and presenting insights through clear reports, dashboards, and other communications. Provides guidance and training to less-experienced teammates, manages complex assignments, and monitors project accuracy and progress. Requires a bachelor's degree in a quantitative or information technology discipline and 7–10 years of data analytics or business intelligence experience.

Analyzes data warehouse information to identify trends and insights, supports ETL and data integration, validates data quality, performs root cause analysis, and documents data mappings and processes. Collaborates with IT, business stakeholders, and clients to gather requirements and deliver analytics project outcomes. This is a remote contract position with no supervisory responsibilities.

Leads the Growth & Strategic Analytics team and owns commercial, market, customer, and enterprise analytics. The role integrates internal and external data, manages data vendors, develops segmentation and opportunity models, supports forecasting and territory planning, oversees customer metrics, and partners with cross-functional teams to deliver dashboards and actionable insights. It also communicates recommendations to executives and incorporates predictive modeling and AI/ML where appropriate.

Supports enterprise records management and information governance programs, maintaining governance frameworks, policies, and procedures. Collaborates with business, technology, legal, compliance, and operations teams; monitors risks, dependencies, and issues; supports audits and regulatory controls; prepares reporting and documentation; and helps implement process improvements and governance capabilities.

Manages supplier master data governance, including onboarding, maintenance, validation, cleansing, audits, reporting, and data quality improvement. Identifies and resolves inaccurate, duplicate, or incomplete records; supports ERP enhancements and governance initiatives; performs supplier risk and fraud controls; and collaborates with stakeholders and suppliers on compliance, process improvements, and user education.

Design, build, and operate scalable batch, streaming, and CDC data pipelines across Snowflake and AWS. Lead ETL/ELT orchestration, data modeling, quality controls, monitoring, observability, incident response, and performance optimization. Develop production-grade SQL and Python solutions, establish engineering standards, and partner with analytics, data science, product, and engineering teams to deliver reliable data products. Provide technical guidance and independently solve complex data platform problems.

Leads Northwest Bank’s enterprise data governance program, including data policies, quality rules, lifecycle management, metadata, master data, stewardship, governance tooling, and remediation. Facilitates Data Working Groups, investigates root causes, manages governance metrics and reporting, demonstrates tools, documents processes, and supports training. Partners across a matrixed organization to ensure data assets meet standards, controls, regulatory requirements, and business needs.

Loads, queries, extracts, validates, and refreshes client data; prepares reports and deliverables; identifies automation and process-improvement opportunities; supports UAT, system implementations, and quality assurance testing; and collaborates with cross-functional teams. The role translates client requirements into actionable tasks and requires SQL, relational database, Oracle, Unix, data analysis, reporting, and communication skills.