data management apprentice

This S&P Global Apprentice opportunity is suited to candidates who want to begin their careers in data management, financial operations, and business process improvement. The position combines structured data-handling responsibilities with opportunities to develop analytical, communication, and technology skills while working within a global financial information environment.

🔎 Where This Role Fits

The Agent Notices Team is part of the broader lending solutions ecosystem at S&P Global. The team primarily handles the categorization of faxes and emails received from agent banks and supports the accurate management of information used within lending-related workflows.

The role is therefore not limited to simple data entry. The position involves data collection, validation, extraction, analysis, workflow execution, troubleshooting, and process improvement. Candidates who demonstrate strong attention to detail can gradually take on more advanced responsibilities as they become familiar with the datasets and operational processes.

S&P Global's lending solutions include workflows that support agents, lenders, borrowers, loan administration, loan reconciliation, and agent notice management. Its Notice Manager solution is designed to manage incoming bank loan agent notices, while its broader lending solutions focus on improving operational efficiency and reducing manual processes.

🛠 Day-to-Day Responsibilities

A major part of the position involves collecting and validating information received from agent banks. The candidate is expected to follow established guidelines carefully and enter or process information accurately using the team's work tools.

Typical responsibilities include:

• Collecting, extracting, analyzing, and entering data according to defined procedures.

• Maintaining high levels of data accuracy and quality while meeting individual and team productivity targets.

• Identifying opportunities to improve existing collection methods and suggesting ideas for product or workflow enhancements.

• Supporting project-based assignments and completing them within defined timelines.

• Troubleshooting operational issues and providing support to colleagues when problems occur.

• Contributing ideas that can improve departmental workflows and operational efficiency.

• Developing technical expertise that can eventually be shared with other members of the department.

The job description specifically emphasizes the ability to maintain quality while meeting predefined targets, so both accuracy and productivity are important measures of performance.

📊 Data & Technology Exposure

Although this is an Apprentice position, the role has a useful technology component. S&P Global is looking for candidates with working knowledge of SQL and Power BI, alongside familiarity with data visualization and Microsoft Office tools.

SQL Power BI Excel Data Visualization MS Office

SQL knowledge can help candidates understand and work with structured datasets, while Power BI provides exposure to reporting and visualization. Excel remains relevant for operational data analysis, validation, and workflow support.

The preferred qualifications also mention Excel Macro and data visualization tools. Candidates who already understand formulas, pivot tables, data cleaning, conditional logic, and basic dashboard concepts can have a useful foundation for this type of position.

🤖 Process Improvement & Automation

One of the stronger career-development aspects of this role is the opportunity to move beyond routine workflows.

Once an Apprentice develops a strong understanding of the datasets and processes, the position can involve process improvement projects, LEAN initiatives, automation projects, data analysis, and potentially Artificial Intelligence-related work.

This direction is particularly relevant because S&P Global is actively using AI and automation within lending-related workflows. The company has described AI-enabled processing for agent notices, including categorization and extraction of important information from documents.

That means candidates interested in automation can use the operational experience gained in this position as a foundation for later roles involving data analytics, process automation, business intelligence, or data engineering.

Understanding the business process first can make later automation work significantly more effective because you learn what the workflow actually needs before trying to automate it.

🌐 Global Collaboration

The position requires candidates to communicate effectively with global stakeholders and work collaboratively with peers and other teams.

Strong communication is therefore part of the job, even though the core responsibilities are data-oriented. Candidates should be comfortable documenting processes, explaining issues, responding to stakeholders, and sharing information clearly.

The role also includes opportunities to work with newer team members by helping develop and enhance their skills after gaining sufficient proficiency in the workflow.

🧠 What Recruiters May Evaluate

For an entry-level candidate, recruiters are likely to pay attention to several practical qualities.

Attention to detail: The work involves collecting and validating information, so small data-quality mistakes can affect downstream processes.

Analytical thinking: Candidates should be able to identify inconsistencies, understand patterns, and recognize opportunities for improving a workflow.

Communication: The role involves interaction with peers and global stakeholders, making clear written and verbal communication important.

Process discipline: Candidates must follow defined guidelines while consistently meeting quality and productivity expectations.

Problem solving: Troubleshooting operational problems and finding practical solutions is explicitly part of the role.

Adaptability: The position can involve changing priorities, project work, process improvements, and different operational requirements.

📚 Skills Worth Building

Candidates preparing for this position can strengthen their profile by developing a practical combination of data, business, and communication skills.

For SQL, focus on SELECT statements, filtering, joins, aggregations, CASE expressions, subqueries, and basic window functions.

For Power BI, understand data preparation, relationships, calculated measures, dashboards, and basic visualization principles.

For Excel, become comfortable with formulas, lookup functions, pivot tables, conditional formatting, data cleaning, and basic automation concepts.

Candidates interested in the longer-term automation path can additionally explore Python, workflow automation, APIs, and introductory AI concepts.

The source job description specifically identifies SQL and Power BI as useful working knowledge, while Excel Macro and data visualization experience are listed among the preferred qualifications.

🔄 Work Environment & Shifts

This is an operational role, and candidates must be comfortable working in a rotational shift environment.

The job description states that employees may be required to work night shifts for multiple weeks during peak-volume periods. It also notes that longer working hours may occasionally be required during critical periods such as quarterly reporting.

Rotational Shifts Required

Candidates should therefore consider shift flexibility an important part of the role rather than an occasional exception.

🚀 Where This Experience Can Lead

The position provides an entry point into several areas because it combines operational data work with technology exposure.

A candidate may initially focus on data collection and validation, then develop stronger analytical capabilities through SQL, Power BI, and Excel. With experience, exposure to process improvement and automation can create opportunities to move toward areas such as data analysis, business intelligence, workflow automation, or AI-supported operations.

The job description itself highlights the possibility of moving into data analysis and exploring automation and Artificial Intelligence for candidates who have an interest in those areas.

📝 Resume Preparation

Candidates applying for this type of Apprentice position should avoid presenting themselves only as general graduates. A stronger resume should clearly demonstrate data handling, analytical ability, SQL/Power BI knowledge, Excel skills, problem solving, and process improvement experience.

Projects can make these skills easier for recruiters to evaluate. For example, a candidate could demonstrate SQL through a sales-analysis project, Power BI through a business dashboard, and Excel through a data-cleaning or reporting project.

Internships, academic projects, certifications, or practical exercises involving structured data can also help demonstrate the ability to work with datasets accurately.

🔑 Keywords for Resume

SQL • Power BI • Microsoft Excel • Data Management • Data Validation • Data Analysis • Data Extraction • Data Collection • Data Quality • Data Visualization • Process Improvement • Workflow Optimization • Automation • LEAN • Troubleshooting • Stakeholder Communication • Financial Services • Lending Solutions • Agent Notices • Business Intelligence • Excel Macro • Problem Solving • Documentation