Role Purpose
The Content Innovation and Visualization team is focused on cultivating a storytelling- and insights-driven culture, aimed at implementing scalable solutions that remain aligned with S&P Global's strategic objectives. The team brings together data, design, workflows, business intelligence platforms, and emerging technologies to create integrated, user-centric content and visual experiences that strengthen the S&P Global brand, drive speed and innovation, and enable customers, colleagues, and partners to interact seamlessly with insights.
The core mandate of the team is to connect data and content with our customers in an integrated way to support Ratings evolving digital business model, while enhancing transparency, relevance, and how businesses engage with insights. As we advance our enterprise-wide data and digital strategy, this role will operate in a dynamic, fast-paced environment with evolving priorities. The ideal candidate will bring a strong design orientation, complemented by an analytical mindset and a working comfort with data, along with the ability to leverage AI-powered tools to enhance content creation, and a strong focus on execution.
Role Description
This is an associated policy role focused on delivering business insights through the effective use of enterprise data, analytics, and reporting capabilities. The successful candidate will combine analytical thinking, business context, and strong data acumen to answer complex questions, uncover trends, and help stakeholders make more informed decisions.
- Analyze complex business and data problems to uncover insights, answer stakeholder questions, and support decision-making.
- Identify trends, patterns, risks, and opportunities within Ratings data and translate findings into actionable insights.
- Partner with business, research, analytical, and data teams to deliver insight-driven solutions.
- Leverage existing dashboards and enterprise datasets to deliver recurring reporting, answer business questions, and uncover actionable insights.
- Investigate data-quality issues, validate results, and perform root-cause analysis where needed.
- Communicate findings through clear narratives, presentations, and executive-ready materials.
- Identify opportunities to improve reporting, automation, and analytical capabilities.
Background & Experience
The ideal candidate understands Ratings data well enough to know where answers live, is naturally curious enough to investigate questions, and can turn complex information into meaningful insights that drive decisions. Prior experience within S&P Global Ratings, Ratings Operations, Ratings Data, Research, or Analytical teams will enable candidates to ramp up quickly and contribute effectively to this role
Must have
- Must have a minimum of 5-9 years of experience in data analysis, business intelligence, insights generation, or analytical roles within Ratings, financial services, research, or other data-intensive environments.
- Strong analytical and investigative mindset with the ability to uncover insights from complex datasets.
- Ability to understand business questions, identify trends, and develop meaningful insights.
- Experience using data to answer business questions and support decision-making.
- Strong understanding of Ratings, credit markets, financial services, research, or similar data-intensive environments.
- Experience working with enterprise data and understanding underlying data structures, relationships, and business processes.
- Experience developing and maintaining Power BI dashboards and analytical solutions.
- Strong data validation and problem-solving skills, including investigating anomalies and ensuring data quality.
- Experience communicating insights through presentations, dashboards, and executive-ready materials.
- Working knowledge of SQL and data transformation concepts.
- Proven ability to work effectively across global and cross-functional teams.
- Strong written and verbal communication skills with the ability to explain complex concepts to both technical and non-technical audiences.
- Strong attention to detail and the ability to manage multiple priorities while working in a fast-paced environment are essential.
Good to have
- Exposure to Python or other analytical tools used for data exploration and insight generation.
- Experience building automated reporting or analytical workflows.
- Familiarity with AI-enabled analytical or productivity tools.
