• Partner with product managers to define product KPIs, success metrics, and analytical requirements across customer and digital products • Support the modernization of clients’ marketing data lake as the enterprise data foundation for customer and marketing insights • Design and maintain entity-based data models for the marketing data lake • Apply medallion architecture principles (bronze, silver, gold) to marketing data lake design • Support analytics, personalization, customer acquisition, and lifecycle-marketing strategies • Ensure alignment between enterprise data lake entities and Adobe RTCDP profile and event schemas • Collaborate with engineering and data platform teams to define data ingestion, data remapping, transformation, and modeling requirements

• Develop and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse. • Design, build, and optimize data models to support analytical needs and reporting requirements. • Collaborate with data scientists to implement and deploy machine learning models and analytical solutions. • Monitor data quality and identify and resolve data integrity issues. • Contribute to the development of data documentation and metadata management practices. • Work with stakeholders to understand their data needs and translate them into technical requirements. • Assist in the evaluation and implementation of new data technologies and tools. • Participate in code reviews and contribute to the development of coding standards and best practices. • Independently manage assigned tasks and projects, ensuring timely delivery and quality results. • Proactively identify opportunities to improve data processes and systems.

• Analyze healthcare payer data including claims, eligibility, provider, utilization, and financial datasets • Develop and maintain reports, dashboards, and analytics to support business stakeholders (e.g., medical management, finance, network, and operations) • Identify trends, anomalies, and cost drivers in healthcare utilization and expenses • Support value-based care initiatives, including quality metrics (e.g., HEDIS, STAR ratings) and risk adjustment analysis • Perform ad hoc data analysis to answer business questions and guide strategic decisions • Collaborate with business units to define requirements and translate them into data solutions • Ensure data accuracy, integrity, and consistency across systems • Assist with regulatory and compliance reporting (CMS, state, and internal requirements) • Partner with IT and data engineering teams on data extraction, transformation, and validation • Document methodologies, business definitions, and reporting processes

Role Description Associated Bank is seeking a Senior Analyst to support data reporting, business insights, and operational performance within Corporate & Commercial Banking. In this role, you will: - Transform complex data into actionable information. - Improve reporting processes. - Partner with teams across the organization to drive informed decision-making. - Expand your analytical expertise and grow as a subject matter expert. Key Accountabilities: - Analyze complex business data and develop meaningful insights to support operational and strategic decisions. - Create, maintain, and enhance databases, reporting systems, and automated reporting solutions. - Develop and manage recurring reports, dashboards, and data queries to meet business needs. - Ensure data accuracy and integrity through ongoing quality reviews and validation processes. - Partner with business leaders to gather reporting requirements and deliver effective data solutions. - Identify opportunities to streamline reporting processes and improve operational efficiency. - Provide analytical support for workforce management, scheduling, forecasting, and financial reporting activities. - Serve as a subject matter expert and resource for reporting tools, systems access, and data-related inquiries. Qualifications - Bachelor’s degree or equivalent combination of education and experience. - 2+ years of experience in data analysis and reporting. - Advanced Microsoft Excel skills, including complex formulas, data analysis, and reporting. - Strong proficiency with Microsoft Office applications, including Word, PowerPoint, Access, Outlook, and Visio. - Experience writing complex data queries and developing reports. Requirements - Experience in banking, financial services, customer service, sales, or related industries (preferred). - Familiarity with workforce management, forecasting, scheduling, or financial analysis (preferred). Benefits - Retirement savings including both 401(k) and Pension plans. - Paid time off to volunteer in your community. - Opportunities to connect with others through our diversity-focused Colleague Resource Groups. - Competitive salaries with professional development and advancement opportunities. - Bonus benefits including well-being programs and incentives, parental leave, an employee stock purchase plan, military benefits, and much more. - Personal banking, loan, investment, and insurance benefits.