Senior Banking Data & Customer Insights Analyst

We need to output HTML fragment with sections: About the role? The description includes JOB SUMMARY, Essential Duties, Qualifications, ORGANIZATION, Training Requirements, COMMUNITY INVOLVEMENT, ATTENDANCE, etc. We need to use

for section headings (e.g., About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). However we should only include sections when posting has real specific content. The posting includes JOB SUMMARY (could map to About the role). Essential Duties (Responsibilities). Qualifications (Qualifications). Also maybe Skills? The qualifications list includes many skills; we could put them under Skills or Requirements. The instruction: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we need to decide which headings to use based on content. We have content for: About the role (job summary). Responsibilities (essential duties). Qualifications (qualifications). Skills (maybe part of qualifications). Requirements (maybe also qualifications). But we should avoid duplication. Probably best to have sections: About the role, Responsibilities, Qualifications, Skills. However we need to ensure we don't create sections with filler like "commensurate with experience". Not present. We also have ORGANIZATION (reports to Director). Could be part of About the role or maybe a separate section like "Reports to". But not in allowed headings list. Could fold into About the role paragraph. Training Requirements, COMMUNITY INVOLVEMENT, ATTENDANCE are boilerplate? They are specific but maybe considered boilerplate? The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. Training Requirements might be considered boilerplate? It's about mandatory trainings. Could be considered part of Requirements? Might be okay to include as a section? Not in allowed headings list; but we could fold into Qualifications or Responsibilities? Probably better to omit as it's generic. Community Involvement and Attendance also generic; could be omitted. Thus produce HTML:

About the role

... job summary text ...

Responsibilities

• ... each duty ...

Qualifications

• ... each qualification ...

Maybe also Skills: but qualifications already cover skills. Could combine. We must preserve ALL substantive information; do not invent or summarize away detail. So we need to include all duties and qualifications exactly as given, but we can format as list items. We need to be careful not to repeat lines. The Essential Duties section includes many sentences, some repeated later (like maintaining knowledge of BSA/AML appears multiple times). We need to preserve all substantive information but remove duplicated lines. So we should deduplicate. Let's extract the duties from the text: From "Essential Duties" paragraph: - Serve as a banking subject-matter specialist for the data and analytics team, bringing practical knowledge of banking products, processes, customers, and financial performance to analytical work - Partners with leaders and employees across lending, deposits, branch banking, treasury management, public funds, finance, operations, marketing, risk, and other areas to understand business needs and establish clear analytical requirements - Anticipate banking questions, risks, and opportunities that can be addressed through data and deliver high value outcomes back to the business - Translate banking needs, processes, and opportunities into clear requirements, business rules, measures, and expected outcomes for data analysts, engineers, and technical partners - Identify the underlying business question behind reporting and data requests, recognize when additional analysis is needed - Analyze customer and household relationships across deposits, loans, related parties, products, services, and delivery channels to help the Bank understand total relationship value and opportunity - Analyze banking products, balances, transactions, pricing, fees, account activity, portfolio performance, customer behavior, and other information needed to support business decisions - Use analytical methods to identify patterns, trends, differences, exceptions, risks, and opportunities in Bank data and explain why the findings matter - Develop practical recommendations and outcomes that support customer retention, relationship growth, pricing decisions, profitability, operating efficiency, and risk management - Present findings in plain business language, including the business question, what the data shows, why it matters, recommended next steps, expected benefit, and how results will be measured - Create and maintain reports, dashboards, analytical models, performance measures, and other tools that support key business decisions - Help define meaningful key performance indicators and consistent business definitions for customers, households, relationships, products, balances, profitability, and other important banking measures - Validate analytical assumptions, business definitions, and results with the appropriate business and technical partners before significant findings are used for decision-making - Identify data-quality issues that may affect business decisions and work with technical and business owners to resolve or clearly disclose those issues - Document data sources, business rules, assumptions, limitations, validation performed, and repeatable analytical processes - Collaborate with data engineers and IT professionals to support reliable data collection, storage, retrieval, and use while providing the banking context needed for technical design decisions - Help technical team members strengthen their understanding of Bank products, customer relationships, transactions, pricing, and operating processes - Maintain current knowledge of internal risk controls and loss prevention, including reporting of suspicious or unusual customer activity per Bank policy, and ensure adherence by the respective department personnel - Helps identify KPIs and develop metrics to track and measure bank performance - Maintain current knowledge of and comply with all federal and state laws and regulations and all established Bank policies and procedures, including internal audit controls related to department operations - Maintain current knowledge of all rules, regulations, and laws as they apply to BSA/OFAC/USA Patriot Act/CIP/AML - Maintains current knowledge of internal risk controls and loss prevention, including reporting of suspicious or unusual customer activity per Bank policy, and ensures adherence by the respective department personnel (duplicate) - Maintains current knowledge and complies with all federal and state laws and regulations and all established Bank policies and procedures, including internal audit controls related to department operations, and ensures adherence by the respective department personnel (duplicate) - Maintains current knowledge of all rules, regulations, and laws as they apply to BSA/OFAC/USA Patriot Act/CIP/AML, and ensures adherence by the respective department personnel (duplicate) We need to deduplicate: keep one each. Now Qualifications section: From "QUALIFICATIONS" paragraph: - Bachelor’s degree from an accredited college or university in finance, accounting, economics, business administration, data analytics, information systems, or a related field - Minimum of 5 years of direct banking experience and relevant experience in financial services, business analysis, data analysis, finance, operations, and related areas - Working knowledge of multiple banking areas, such as lending, deposits, branch banking, treasury management, public funds, finance, operations, customer relationships, pricing, or profitability - Demonstrated ability to understand business processes, identify the underlying business question, and translate business needs into clear analytical requirements - Demonstrated ability to interpret data, identify meaningful findings, and make practical business recommendations - Ability to communicate effectively with executives, bankers, operations employees, analysts, data engineers, and other technical staff - Able to explain complex banking and analytical concepts in clear, direct language tailored to the audience - Strong problem-solving skills and the ability to resolve complex issues with minimal direction - Ability to use performance measures and data to provide insights, recommend action, and evaluate whether the intended result was achieved - Working knowledge of relational databases, reporting methods, data quality, and business intelligence practices - Proficiency with Microsoft Power BI, Tableau, or similar visual reporting tools - Working knowledge of SQL is preferred; knowledge of Python or similar analytical tools is helpful but not required - Knowledge of financial-institution regulations and risk requirements applicable to the role, including fair lending, consumer compliance, customer privacy, internal controls, and BSA/AML requirements - Excellent verbal and written communication skills; able to express ideas concisely and logically - Ability to meet deadlines, work in a fast-paced environment, and perform a variety of tasks with numerous interruptions - Ability to sit in front of a computer screen for long periods of time, which may cause visual strain - Bilingual in English and Spanish is desired Also ORGANIZATION: "This position reports to the Director of Data Engineering & Analytics". Could be included in About the role or as a separate line. We should include that in About the role paragraph. Now we need to output HTML fragment only. We'll create:

About the role

The Senior Banking Data & Customer Insights Analyst serves as a banking subject-matter specialist within the Bank’s data and analytics team. This position works with business leaders to understand banking needs, identify opportunities, and translate business questions into clear analytical requirements. The position applies knowledge of banking products, operations, customer relationships, pricing, profitability, and risk to help the data team deliver useful insights and recommendations. The role works closely with the Director of Data Engineering & Analytics and technical team members to ensure data, reports, dashboards, and analysis address meaningful business needs and support measurable outcomes for the Bank. This position reports to the Director of Data Engineering & Analytics.

Then Responsibilities list. Then Qualifications list. We should not include Skills separate unless we want to split qualifications into Requirements and Skills. But we can keep Qualifications as is. Make sure to use

• for list. Now produce final HTML. Check for any duplicated content: we removed duplicates. Let's craft the Responsibilities list items exactly as deduplicated. List: - Serve as a banking subject-matter specialist for the data and analytics team, bringing practical knowledge of banking products, processes, customers, and financial performance to analytical work - Partners with leaders and employees across lending, deposits, branch banking, treasury management, public funds, finance, operations, marketing, risk, and other areas to understand business needs and establish clear analytical requirements - Anticipate banking questions, risks, and opportunities that can be addressed through data and deliver high value outcomes back to the business - Translate banking needs, processes, and opportunities into clear requirements, business rules, measures, and expected outcomes for data analysts, engineers, and technical partners - Identify the underlying business question behind reporting and data requests, recognize when additional analysis is needed - Analyze customer and household relationships across deposits, loans, related parties, products, services, and delivery channels to help the Bank understand total relationship value and opportunity - Analyze banking products, balances, transactions, pricing, fees, account activity, portfolio performance, customer behavior, and other information needed to support business decisions - Use analytical methods to identify patterns, trends, differences, exceptions, risks, and opportunities in Bank data and explain why the findings matter - Develop practical recommendations and outcomes that support customer retention, relationship growth, pricing decisions, profitability, operating efficiency, and risk management - Present findings in plain business language, including the business question, what the data shows, why it matters, recommended next steps, expected benefit, and how results will be measured - Create and maintain reports, dashboards, analytical models, performance measures, and other tools that support key business decisions - Help define meaningful key performance indicators and consistent business definitions for customers, households, relationships, products, balances, profitability, and other important banking measures - Validate analytical assumptions, business definitions, and results with the appropriate business and technical partners before significant findings are used for decision-making - Identify data-quality issues that may affect business decisions and work with technical and business owners to resolve or clearly disclose those issues - Document data sources, business rules, assumptions, limitations, validation performed, and repeatable analytical processes - Collaborate with data engineers and IT professionals to support reliable data collection, storage, retrieval, and use while providing the banking context needed for technical design decisions - Help technical team members strengthen their understanding of Bank products, customer relationships, transactions, pricing, and operating processes - Maintain current knowledge of internal risk controls and loss prevention, including reporting of suspicious or unusual customer activity per Bank policy, and ensure adherence by the