Analytics Engineer: Scalable Data Products (Hybrid)

T. Rowe Price; Colorado Springs, Northern (CO, KY); Hybrid; USD 77,000 - 131,000; Full time

Benefits offered by this job

Competitive compensation

Annual bonus eligibility

Hybrid work schedule

Health and wellness benefits

Paid time off

Job summary

T. Rowe Price is seeking an Analytics Engineering Data Analyst to transform complex business needs into scalable analytical products for the Individual Investors business.

You will design analytical layers, models, reusable data products, automation, and measurement solutions, applying advanced statistics and machine-learning methods. Join a collaborative, innovation-focused team that values documentation, experimentation, and measurable business impact.

Qualifications

• Bachelor’s degree in Data Science, Operations Management, Operations Research, Data Analytics, Statistics, Computer Science, Information Systems, or related field.
• 3+ years of total relevant work experience.
• Proficiency with writing complex SQL queries.
• Proficiency with Python, including experience with machine-learning packages.
• Experience with visualization software such as Tableau or Power BI to communicate business performance and status.
• Proficient in analytical thinking, SQL, Python/R, Snowflake or comparable cloud data warehouses, data modeling, automation, Git/version control, Agile development, testing and quality assurance, performance optimization, and documentation.
• Proficient in data storytelling, executive communication, requirements gathering, AI/Copilot utilization, and collaborative work across technical and business teams.

Responsibilities

• Build scalable analytical solutions and products: Design and develop medium- to complex analytical products, reusable components, and scalable solutions that address important business needs.
• Advance modeling, forecasting, and applied analytics: Perform advanced modeling and statistical analysis on mature data and products to solve complex problems and deliver deeper insight.
• Build and improve the analytics layer: Design analytics-layer datasets, semantic structures, features, metrics, and data products that make downstream analysis more reliable and efficient.
• Innovate, automate, and optimize: Identify opportunities to automate recurring work, expand GenAI-enabled workflows, and simplify or refactor existing solutions.
• Partner on strategic initiatives and advanced methods: Support high-impact strategic initiatives and analytical transformation efforts with advanced methods and strong technical consultation.
• Apply engineering discipline and quality standards: Use Git/version control, testing, peer review, documentation, and change-control practices to ensure solutions are reliable, reproducible, and supportable.

Skills

SQL

Python

Tableau

Power BI

Data modeling

Git/version control

Agile

Statistics

AI/Copilot

Data storytelling

Education

Bachelor’s degree in data science / statistics / CS

Tools

Snowflake

JupyterHub

Job description

T. Rowe Price is seeking an Analytics Engineering Data Analyst to transform complex business needs into scalable analytical products for the Individual Investors business.

You will design analytical layers, models, reusable data products, automation, and measurement solutions, applying advanced statistics and machine-learning methods. Join a collaborative, innovation-focused team that values documentation, experimentation, and measurable business impact.