Data Management, Analyst
Colorado, United States
T. Rowe Price
T. Rowe Price, a global investment management firm dedicated to helping clients achieve long term success.Role Summary
The Business Analyst for the Data Stewardship team within Individual Investor (II) plays a crucial role in supporting over $200B in client assets and serving 1.3M investors. This position addresses both production and project-related data needs tied to operational and analytical data platforms, which are foundational for transaction and client data management.
With limited guidance, the Analyst conducts data management and reporting, applying full lifecycle data analysis to gather, synthesize, and interpret information from a wide variety of sources. They provide actionable insights for senior team members and managers and advocate for data standards to ensure accuracy, timeliness, and reliability of data across the organization. Participation in data governance discussions is a key responsibility, with potential impact beyond the immediate team.
The Analyst will collaborate with business and technical partners, leveraging strong communication skills to gather requirements and enable user stories within an Agile environment. They ensure data integrity and manage updates to systems, contributing to both operational and project-focused data solutions.
Responsibilities:
- Collaborates with peers in the business on various defined and ad hoc data and reporting requests. Ensures deliverables are completed in a timely manner that meets the business needs with a mindset to minimize redundancy and improve efficiency. Integrates data across various data sources and data warehouses or databases. Reviews and interprets data for consistency, accuracy, trends, and leading indicators. Summarizes findings and data protection/privacy issues for review with more experienced professionals and management.
- Conducts processes for the creation, consumption, assimilation, and/or destruction of data. Ensures adherence to quality controls and governance rules. Ensures project specifications are in line with data management standards in terms of data and reporting needs and is accountable for related project goals.
- Participates in the development and testing of systems. Conducts investigation, analysis, and evaluation to determine enhancement feasibility and implications for data accuracy. Compiles reports for review by more senior professionals.
- Curates data and conducts governance activities, contributing to the development of technical workflows, operational data management reports and metrics, enhancing existing models, and building frameworks and processes. Trains junior professionals and support staff to understand the data.
- Examines and controls changes in complex data sets. Contributes to the implementation and execution of data quality and maintenance programs in alignment with T. Rowe Price policies and procedures. Adheres to and champions best practices for the business.
Qualifications:
Required:
- Bachelor's degree or the equivalent combination of education and relevant experience AND
- 2+ years of total relevant work experience
Preferred:
- Demonstrated ability to complete standard refinement activities within an Agile product team, including defining and writing clear, actionable user stories and acceptance criteria.
- Strong knowledge of database models, relational databases, and related concepts.
- Proficiency in SQL and/or related data extraction, blending, and review tools (e.g., DBeaver, MS Office).
- Proven ability to collect, organize, and summarize complex information in a clear and concise manner.
- Excellent written and verbal communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
- Experience developing documentation, process mapping, and requirement definitions that are easily understood by business users.
- Strong analytical and problem-solving skills, with a proven ability to analyze and organize large amounts of data with a high level of attention to detail and accuracy.
- Ability to understand end-to-end data flows and data dependencies, ensuring business outcomes are achieved.
- Effective at managing multiple, sometimes competing, priorities while being considerate of team objectives and deadlines.
- Self-directed and results-oriented, with a demonstrated ability to take initiative and deliver high-quality work on time.
FINRA Requirements
FINRA licenses are not required and will not be supported for this role.
Work Flexibility
This role is eligible for hybrid work, with up to two days per week from home.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Data analysis Data governance Data management Data quality Privacy RDBMS SQL Testing
Perks/benefits: Team events
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