Analyst, Data Analytics
Core
Build scalable analytical products, reusable data layers, and automation solutions for T. Rowe Price's Individual Investors business using advanced analytics and engineering discipline.
Role type
Analytics Engineering Data Analyst
Builds
Scalable analytical products, reusable data components, automation workflows, and measurement solutions for individual client services.
Domain
Asset Management / Financial Services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, Python (with ML packages), Data Modeling, Applied Statistics, Machine Learning, Time Series Forecasting, A/B Testing, Data Visualization, Git/Version Control, Agile Development, Cloud Data Warehouses
Preferred skills
Snowflake, JupyterHub, AnyLogic, Linear Programming, Optimization Solvers, Executive Communication
Technologies
Snowflake, Tableau, Power BI, JupyterHub, AnyLogic, Git, Jira, Planner, Copilot
Responsibilities
Design and develop medium- to complex analytical products and reusable components; Apply advanced modeling, forecasting, and statistical methods to solve complex business problems; Build analytics-layer datasets and semantic structures to improve downstream analysis; Automate recurring work and refactor existing solutions using Python and SQL; Partner with stakeholders to translate business requirements into technical solutions; Ensure solution reliability through testing, peer review, and documentation.
Seniority
Mid-level, hands-on IC