Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more.
Responsible for the design, development, administration, and continuous improvement of enterprise contact center analytics, business intelligence, and AI-enabled reporting solutions.
This role owns the full analytics lifecycle, including data acquisition, integration, modeling, warehousing, reporting, dashboard development, trend analysis, forecasting, and insight generation. The position works closely with Contact Center Operations, Business Intelligence, IT, Application Development, and external vendors to transform data from the contact center and business platforms into actionable insights that support operational performance, customer experience, workforce optimization, financial reporting, and strategic decision-making.
This role serves as a technical and analytical leader responsible for modernizing reporting capabilities through automation, self-service analytics, semantic modeling, and emerging AI technologies including Microsoft Copilot, Power BI AI capabilities, Large Language Models (LLMs), and enterprise AI solutions.
KEY DUTIES & RESPONSIBILITIES
Data Engineering & Integration (25%)
- Design, develop, and maintain SQL views, stored procedures, functions, and database objects.
- Build and support data integrations between various platforms, APIs, and enterprise data sources.
- Develop and maintain data warehouse structures, dimensional models, semantic models, curated business datasets, and analytical data assets including SSAS Multidimensional Cubes, SSAS Tabular Models, measures, hierarchies, aggregations, partitions, processing strategies, and performance optimization.
- Design and support ETL/ELT pipelines for efficient movement and transformation of operational and reporting data.
- Monitor and maintain data quality, integrity, and consistency across reporting environments.
- Partner with IT and application teams to identify and implement new data sources.
Business Intelligence & Reporting Solutions (25%)