Data Analyst, Rapid Insights

troweprice; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

At T. Rowe Price, a premier global asset manager, the Rapid Insights Data Analyst role supports the II business with data-driven decisions and rapid prototyping of analyses. You'll build dashboards and drive KPI clarity for stakeholders across client, digital, marketing, and operations domains.

The position emphasizes data storytelling, agile collaboration, and proactive issue identification to surface insights that inform near-term actions and long-term strategies.

Responsibilities

• Intake, triage, and prioritize business questions.
• Capture requests from multiple channels, clarify the business question, define the decision to be supported, and determine the right analytical path.
• Prioritize work based on urgency, business value, stakeholder impact, and available capacity, so the business is not blocked waiting on analysis.
• Maintain close stakeholder alignment throughout the workflow, communicating assumptions, trade-offs, timing, and limitations clearly.
• Use SQL, Excel, Python, statistical methods, and other analytical tools to perform descriptive and diagnostic analyses, data pulls, and root-cause investigations.
• Analyze client, digital, marketing, sales, operational, workforce, and business performance questions as needs arise.
• Synthesize findings into clear implications, options, and recommended next steps that stakeholders can act on quickly.
• Create and enhance dashboards and visualizations in Power BI, Tableau, or similar tools to improve transparency and support timely decisions.
• Help define, validate, and communicate KPIs and performance measures so stakeholders understand what is happening and why.
• Apply strong data storytelling and executive communication to make complex analysis understandable to audiences at all levels.
• Look beyond the immediate request to identify patterns, themes, anomalies, risks, and opportunities before stakeholders ask.
• Use trend and pattern identification to connect day-to-day analysis with broader business performance and potential actions.
• Provide proactive analytical support that helps the business anticipate issues and opportunities rather than only react to them.
• Rapidly prototype analyses, reporting, and lightweight solutions to test value and meet near-term needs.
• Recognize recurring, technically complex, automation-heavy, or scalable needs and partner with Analytics Engineering to transition them into durable solutions.
• Document requirements, logic, assumptions, and business context so handoffs are efficient and reusable.
• Work effectively in an Agile environment, reprioritizing as business needs change while maintaining transparency and follow-through.

Skills

SQL

Excel

Python

Power BI

Tableau

Job description

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.

We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You'll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you'll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.

Join us for the opportunity to grow and make a difference in ways that matter to you.

Role Summary

Reporting to the Manager of Data Analytics, Insights & Measurement, the Rapid Insights Data Analyst will play a highly visible role in helping T. Rowe Price's Individual Investors (II) business make better, faster data-driven decisions. II is a dynamic and rapidly evolving component of the firm's growth, focused on empowering individual clients through innovative products, digital experiences, and personalized service. The Rapid Insights program is designed to meet the business where it is - responding quickly to urgent questions, surfacing emerging trends, and accelerating practical quick wins.

Responsibilities

• Intake, triage, and prioritize business questions.


• Capture requests from multiple channels, clarify the business question, define the decision to be supported, and determine the right analytical path.


• Prioritize work based on urgency, business value, stakeholder impact, and available capacity, so the business is not blocked waiting on analysis.


• Maintain close stakeholder alignment throughout the workflow, communicating assumptions, trade-offs, timing, and limitations clearly.


• Use SQL, Excel, Python, statistical methods, and other analytical tools to perform descriptive and diagnostic analyses, data pulls, and root-cause investigations.


• Analyze client, digital, marketing, sales, operational, workforce, and business performance questions as needs arise.


• Synthesize findings into clear implications, options, and recommended next steps that stakeholders can act on quickly.


• Create and enhance dashboards and visualizations in Power BI, Tableau, or similar tools to improve transparency and support timely decisions.


• Help define, validate, and communicate KPIs and performance measures so stakeholders understand what is happening and why.


• Apply strong data storytelling and executive communication to make complex analysis understandable to audiences at all levels.


• Look beyond the immediate request to identify patterns, themes, anomalies, risks, and opportunities before stakeholders ask.


• Use trend and pattern identification to connect day-to-day analysis with broader business performance and potential actions.


• Provide proactive analytical support that helps the business anticipate issues and opportunities rather than only react to them.


• Rapidly prototype analyses, reporting, and lightweight solutions to test value and meet near-term needs.


• Recognize recurring, technically complex, automation-heavy, or scalable needs and partner with Analytics Engineering to transition them into durable solutions.


• Document requirements, logic, assumptions, and business context so handoffs are efficient and reusable.


• Work effectively in an Agile environment, reprioritizing as business needs change while maintaining transparency and follow-through.


• Use peer review, validation, and documentation practic