Coll & Default Strat Sr Prof
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections if posting has real specific content. We must not repeat job title. Must not include Job ID etc. Must preserve all substantive info, not invent or summarize away detail. Remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, application instructions. Also remove "Hours & Work Schedule" maybe we can include Schedule if present. The posting includes "Hours per Week: 40 Work Schedule: Monday-Friday 8a-5p EST". That's schedule info, so we can include a Schedule section. Benefits? Not mentioned. Pay? Not mentioned (they say recruiter will discuss accurate pay guidance, but no specific numbers). So we should not include Pay or Benefits sections because no concrete content. Skills? Could be implied but not explicit list; we could include Skills if we have specific skills listed: SAS, SQL, Tableau, AI, etc. But the instruction: Use sections only when posting has real, specific content for it. The posting includes Required Qualifications and Preferred Qualifications, which could be under Requirements or Qualifications. We have sections: About the role (maybe from description), Responsibilities (list), Requirements (maybe Required Qualifications), Qualifications (maybe Preferred?), Skills (maybe list of technical skills). But we need to decide which headings to use. The allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We should avoid duplication. Perhaps combine Requirements and Qualifications? But we have both Required and Preferred qualifications. Could put Required under Requirements, Preferred under Qualifications. Or we could put all under Requirements. But we need to follow instruction: use heading only when posting has real specific content for it. So we can include About the role (the introductory paragraph). Responsibilities (the list under "Primary Responsibilities" and sub-bullets). Requirements (the Required Qualifications). Qualifications (the Preferred Qualifications). Skills (maybe we could extract a list of skills: SAS, SQL, Tableau, AI, data validation, etc.) But the posting already includes those in qualifications; maybe better to not duplicate. Could omit Skills section if we feel it's covered. However, we could still include Skills with a bullet list of specific skills mentioned: SAS, SQL, Tableau, AI capabilities, data profiling, etc. But that might be redundant. The instruction: Prefer a few substantive sections over many thin ones. So maybe we combine Required and Preferred into one Requirements section? But we have two headings: Requirements and Qualifications. Could use Requirements for Required Qualifications, and Qualifications for Preferred Qualifications. That seems reasonable. Schedule: we have hours info, so include Schedule section. Benefits: none, omit. Pay: none, omit. Now we need to preserve all substantive information; do not invent or summarize away detail. So we need to include all details from the posting, but we can format them as HTML lists and paragraphs. Must not include boilerplate like EEO, "Why Work for Us", etc. Also remove duplicated lines. Also remove "About The Opportunity" maybe that's similar to About the role; we can incorporate that content under About the role heading. The posting includes "About The Opportunity" paragraph after Responsibilities. Also includes "Why Work for Us" at end (boilerplate). We'll omit that. We also need to include the initial description paragraph: "At Citizens, we’re more than a bank..." etc. That's about the role. We'll put that under About the role. Now we need to ensure we don't include any application instructions like "If you apply and qualify for this role, a recruiter will discuss accurate pay guidance." That's somewhat about pay but it's not a specific number; we already omitted Pay section. However that sentence is part of the posting; but it's not boilerplate? It's about pay guidance. Since we are not including Pay section, we might still need to preserve that info? The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. If we omit the sentence about recruiter discussing pay guidance, we are losing substantive info. However we could incorporate that into a Pay section? But we said we should not create Pay section unless posting actually states them. It does state that a recruiter will discuss accurate pay guidance. That is some info about pay, though not a range. The instruction says: never create Pay/Schedule/Benefits sections unless the posting actually states them. It does state something about pay guidance, so we could include a Pay section with that sentence. However the instruction also says: never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD"). The sentence "If you apply and qualify for this role, a recruiter will discuss accurate pay guidance." is not filler; it's specific info about process. So we could include a Pay section with that sentence as a
. That would preserve the info. Similarly, we have Schedule info: "Hours per Week: 40 Work Schedule: Monday-Friday 8a-5p EST". That's specific, so Schedule section. Benefits: none. Now we need to ensure we don't include boilerplate like EEO, equal opportunity, etc. Remove those. Also remove duplicated lines: there may be duplicate sentences; we need to check. Let's extract the posting content: Description At Citizens, we’re more than a bank and here you’ll experience new things, create new opportunities, think beyond your role and make an impact. While in this role, you will support the delivery of expert support and advice to the business on risk management. It is important to note that you will also participate in interpreting and complying with the risk policy standards, laws, regulations, and risk management framework. Most importantly, you’ll feel valued for who you are and supported to achieve what’s Important to you, personally and professionally! This role is a senior individual contributor on the Collections & Recovery reporting and analytics team. The analyst converts complex operational needs into trusted data, scalable reporting, and decision-ready insights. The position owns work from initial intake and business requirements through data validation, development, visualization, implementation, and ongoing control. The successful candidate will thoughtfully use approved AI capabilities and partner across Operations, Technology, Risk, and other stakeholders to strengthen performance measurement, improve data quality, reduce manual effort, and help leaders identify emerging trends and act earlier. What You Will Deliver Accurate, timely, and well-controlled reporting that supports Collections & Recovery performance management and business decisions. Clear analysis of trends, drivers, risks, and opportunities, translated into concise recommendations for operational and senior leaders. Scalable SAS-based data preparation and reporting processes, with a focus on automation, repeatability, documentation, and maintainability. Interactive Tableau dashboards and other visual reporting products that make complex information easy to understand and use. Well-defined business requirements and data specifications for new reporting, data enhancements, and technology changes. Stronger reporting governance through reconciliations, quality checks, issue tracking, change control, and transparent documentation. Responsible and practical use of artificial intelligence to improve reporting, accelerate analysis, strengthen documentation, and enhance business decision-making while following applicable governance, privacy, risk, and control expectations. Primary Responsibilities Reporting and analytics ownership Own the end-to-end lifecycle for assigned reporting and analytical products, including intake, prioritization, requirements, development, testing, implementation, maintenance, and retirement. Analyze operational performance and portfolio trends; identify drivers, exceptions, emerging risks, and opportunities for improvement. Prepare leadership-ready summaries that explain what changed, why it matters, and what action should be considered. Develop and maintain recurring, ad hoc, and self-service reporting for a broad stakeholder audience. Data development and technology partnership Create, modify, troubleshoot, and optimize SAS code used for data preparation, analysis, automation, and reporting. Partner with Technology and data teams to define source-to-report requirements, add or modify data fields, and improve access to trusted data in enterprise data environments. Perform data profiling, validation, reconciliation, and root-cause analysis across multiple sources; document and escalate material data concerns. Translate business process nuances, policy requirements, and operational definitions into clear technical requirements and testable acceptance criteria. Visualization, automation, and transformation Design and enhance Tableau dashboards with intuitive navigation, consistent definitions, actionable metrics, and appropriate drill-down capability. Identify manual or fragmented reporting processes and recommend practical opportunities for automation, standardization, consolidation, or retirement. Build reusable datasets, code components, documentation, and controls that improve efficiency and reduce key-person dependency. Support the team's evolution from reactive reporting toward more forward-looking performance insights and forecasting. Evaluate and apply approved AI capabilities within business processes to streamline research, requirements development, code documentation, data-quality investigations, reporting workflows, and insight generation, with appropriate human review and control validation. Governance and stakeholder leadership Manage reporting intake and business requirement documentation, including scope, business purpose, data definitions, owners, dependencies, timing, controls, and approval criteria. Partner with Operations, Risk, Compliance, Technology, and other stakeholders to ensure reporting aligns with applicable policies, standards, laws, regulations, and risk-management expectations. Establish and follow appropriate quality assurance, peer review, version control, production validation, and change management practices. Communicate complex findings clearly to technical and non-technical audiences, including senior management. Provide day-to-day guidance and mentoring to analysts, share best practices, and contribute to a collaborative, accountable team culture. Required Qualifications Bachelor’s degree or equivalent combination of education and relevant experience. 5 or more years of relevant experience in financial services, operations, reporting, business intelligence, data analytics, or related fields. Demonstrated ability to read, write, maintain, and troubleshoot SAS and SQL code. Hands-on experience developing business reporting or dashboards in Tableau or a comparable visualization platform. Experience gathering requirements and translating business needs into data, reporting, or technology solutions. Strong analytical and critical-thinking skills, including the ability to investigate complex issues with limited supervision. Experience validating data, reconciling results, documenting logic, and implementing repeatable quality controls. Ability to communicate business concepts, analytical findings, and key performance drivers to varied audiences, including senior leaders. Ability to manage multiple priorities, work through ambiguity, and drive assignments to completion across partner teams. Preferred Qualifications Collections, recovery, servicing, consumer lending, default management, or other regulated operations experience. Advanced Tableau experience, including dashboard design, performance optimization, calculated fields, and publishing standards. Experience with enterprise data lakes, relational databases, SQL, data lineage, or source-to-report mapping. Experience modernizing recurring reporting through automation, reusable data assets, or workflow redesign. Knowledge of performance measurement, forecasting, capacity planning, operational controls, or portfolio analytics. Experience supporting audits, regulatory requests, risk assessments, or issue-remediation activities. Prior experience mentoring analysts or informally leading complex cross-functional work. Experience utilizing artificial intelligence within business processes, including applying AI to improve efficiency, analysis, documentation, reporting, or decision support in a controlled business environment. Success Profile Capability What Strong Performance Looks Like Business partnership Builds credibility, asks strong questions, and converts stakeholder needs into practical, well-defined deliverables. Analytical judgment Moves beyond producing numbers to explain drivers, implications, risks, and recommended actions. Technical execution Produces efficient, supportable code and reporting solutions with clear documentation and appropriate controls. Ownership Anticipates dependencies, communicates status and risks early, and follows work through implementation and stabilization. Continuous improvement Actively simplifies processes, reduces manual effort, and improves the usability and reliability of reporting products. About The Opportunity This is an opportunity to shape how Collections & Recovery performance is measured, understood, and acted upon. The role combines hands-on analytics and technical development with business partnership, governance, and transformation. The analyst will have visibility across critical operational priorities and will help build reporting capabilities that are accurate, efficient, scalable, and trusted. Hours & Work Schedule Hours per Week: 40 Work Schedule: Monday-Friday 8a-5p EST Some job boards have started using jobseeker-reported data to estimate salary ranges