This role pays less than
82%
of similar roles. Most pay
$142,400–$196,850
— the shaded band above.
At the midpoint, this role pays about
$130k
versus about
$170k
for comparable roles.
Based on 240 similar postings.
Employer
About T. Rowe Price
T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services
T. Rowe Price currently has
34 open roles
on FindRole.
Listed pay typically runs
$121,000–$206,000
across 34 roles with salary data.
Senior Data Analyst- Investment Data Strategy joins the Investment Data Strategy & Architecture team to shape the future of investment data capabilities across the firm. This role sits at the intersection of investment management, data strategy, and technology delivery. You will partner with engineers, architects, and front-office stakeholders like portfolio managers and traders to define strategic data capabilities for decision-making, analytics, reporting, and emerging AI initiatives. Responsibilities include performing deep analysis of datasets, identifying quality issues, developing process flows, and creating conceptual architectures or UML diagrams. The role requires expertise in investment management domain knowledge, systems thinking, and technical skills including SQL, Python, relational data modeling, and agile tools like Jira and Confluence. You will solve complex problems regarding data lineage, metadata standards, and governance to improve operational efficiency across the firm's investment platforms.
What does a Data Analyst earn?
Median $129550 from 39 postings across 18 companies.
Define and promote the strategic vision for investment data capabilities across the organization.
Analyze investment datasets, workflows, and business processes to identify quality, lineage, and integrity issues.
Develop process flows, conceptual architectures, capability models, and UML diagrams for technical solutions.
Translate complex investment requirements into scalable technology and data architecture designs.
Drive the adoption of enterprise data standards, governance frameworks, and metadata management.
Identify opportunities to simplify, standardize, and reuse existing data ecosystems.
Partner with front-office stakeholders and engineering teams to deliver strategic data capabilities.
Support firm-wide initiatives related to AI integration and operational efficiency.
What we're looking for
5+ years of experience in Business Analysis, Data Strategy, Data Architecture, Product Strategy, Investment Technology, or related disciplines.
Experience within Asset Management, Investment Management, Hedge Funds, Wealth Management, Capital Markets, or related financial services organizations.
Strong understanding of front-office investment workflows and investment data.
Experience working directly with Portfolio Managers, Traders, Research Analysts, Risk teams, or Quantitative teams.
Experience defining business capabilities, operating models, and strategic roadmaps.
Experience partnering with agile software development teams.
Demonstrated ability to lead complex cross-functional initiatives from concept through delivery.
Advanced SQL skills (preferred); Python experience for data analysis and prototyping (preferred).
Agile
Scrum
Kanban
Jira
Confluence
Azure DevOps
SQL
AI
Generative AI
UAT
Data Analysis
Workflow Automation
User Stories
Portfolio Management
Market Data
Investment Research
Machine Learning
Statistics
Data Science
Entity Resolution
Record Linkage
Fuzzy Matching
Clinical Ontologies
Healthcare Data
Experiment Design
data - cleansing
SQL
Python
R
SAS
Power BI
Tableau
Qlik
Data Modeling
Data Visualization
Machine Learning
Artificial Intelligence
IoT
Data Governance
Data Migration
Statistics
Data Transformation