Senior Analyst, Data Analytics – Data Enablement Team

T. Rowe PriceOwings Mills, MD
Hybrid

About The Position

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 We are looking for a Senior Analyst to join the Data Enablement Team, a new team within the Chief Financial Officer (CFO) organization focused on making data more accessible, trusted, and actionable for business users. This role is ideal for a strong analytics professional who enjoys solving data problems, partnering with stakeholders, and helping build practical data solutions that improve how teams work. In this role, the individual will contribute to the advancement of the CFO data strategy by helping develop strategic data sets, improving access to data for self-service use, and supporting the delivery of scalable analytics and reporting solutions. The role offers the opportunity to work across business and technology partners, apply modern tools and techniques, and help shape best practices for data quality, governance, and usability within assigned data domains. This position goes beyond traditional reporting and visualization work and is well suited for someone who is excited by the opportunity to help build a growing data enablement capability, explore emerging technologies including AI, and deliver data solutions that drive efficiency and better decision-making.

Requirements

  • Bachelor’s degree or the equivalent combination of education and relevant experience
  • 5+ years of total relevant work experience
  • Experience working in data analytics, business intelligence, data enablement, data management, or a related function
  • Experience translating business needs into data solutions, reporting capabilities, or analytical outputs
  • Experience working with cross-functional stakeholders to define requirements and deliver business value
  • Applicants for employment in US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status)

Nice To Haves

  • Experience with Power BI, Snowflake, SQL, Python, and Alteryx
  • Experience building or supporting strategic data sets, curated data assets, or self-service data solutions
  • Experience working with metadata, data lineage, data definitions, and domain-based data ownership models
  • Experience supporting or applying data governance, data quality, and data management best practices
  • Familiarity with enterprise data architecture concepts and scalable data solution design
  • Interest in emerging analytics technologies and AI-enabled capabilities
  • Strong ability to translate complex technical concepts and analyses for nontechnical audiences
  • Strong problem-solving, communication, and stakeholder management skills

Responsibilities

  • Serves as a key contributor to the Data Enablement Team in support of the CFO data strategy, helping to expand the team’s impact beyond data visualization to broader data enablement and strategic data management.
  • Develops, enhances, and maintains strategic data sets that improve consistency, usability, and trust in data for business stakeholders.
  • Enables faster, more efficient access to data for users through self-service solutions, streamlined data workflows, and scalable delivery models.
  • Prepares visualizations and delivers results to management and other leaders; partners with business subject matter experts to provide recommendations and communicate observed outcomes to both technical and nontechnical audiences.
  • Translates business requirements into scalable data solutions, ensuring alignment with enterprise data architecture, governance policies, and business priorities.
  • Leads cross-functional groups to define requirements and supports the development of project plans, use cases, user stories, and business cases.
  • Independently performs advanced and moderately complex statistical, quantitative, and analytical work in support of assigned business areas.
  • Partners with business subject matter experts and technology teams to identify opportunities to improve analytical capabilities, enhance data accessibility, and modernize data solutions.
  • Stays abreast of developments in data, analytics, and emerging technologies, including AI capabilities, and evaluates opportunities to apply them to improve efficiency, insights, and user enablement.
  • Champions data governance best practices by promoting data integrity, quality, security, compliance, and appropriate use of data across analytics and data enablement activities.
  • Collaborates with data stewards and data owners to implement and enhance data management frameworks, metadata standards, and data lineage documentation within assigned data domains.
  • Supports the development and enforcement of data access controls, privacy protocols, and governance standards in line with organizational and regulatory requirements.
  • Proactively identifies opportunities to reduce manual effort, improve data delivery timeliness and accuracy, and strengthen the overall user experience for data consumers.
  • Validates and reviews outputs to ensure analytical results and data solutions address identified business needs.
  • Serves as a resource to less experienced team members by sharing methodologies, techniques, and best practices.

Benefits

  • Competitive compensation
  • Annual bonus eligibility
  • A generous retirement plan
  • Hybrid work schedule
  • Health and wellness benefits, including online therapy
  • Paid time off for vacation, illness, medical appointments, and volunteering days
  • Family care resources, including fertility and adoption benefits
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