As a Senior Data Analyst at Carnegie Mellon University’s Computing Services division, you will play a pivotal role in eliminating data silos and developing strategic data products that drive informed decision-making across the university. Your daily responsibilities include partnering with multi-functional teams to design and document data products, supporting enterprise data technologies like Snowflake and Power BI, and facilitating requirements capturing within various domains. You will develop comprehensive business and technical specifications, integrate diverse data sources into Snowflake and Power BI, and lead test scenarios for data products. Ideal candidates possess substantial expertise in Power BI, experience with Snowflake or other RDBMS systems, proficiency in SQL and DAX query languages, and a background in cross-functional data analysis. This role requires strong business process analysis skills, excellent customer service, and the ability to manage multiple tasks simultaneously while fostering an environment of proactive engagement and collaboration among university-wide teams.
Skills
Power BI
Snowflake
SQL
DAX
DBT
Workday
Oracle Financials
Data Modeling
CI/CD
Python
PostgreSQL
Kubernetes
AWS
Git
Jira
What you'll do
Partner with multi-functional teams to design and document data products for enterprise decision-making.
Support business partners in constructing, implementing, and delivering data products using Snowflake and Power BI.
Facilitate requirements capturing within various domains to develop comprehensive business documents.
Lead the creation of functional and technical specifications for data product solutions.
Develop a deep understanding of data sources and assist in integrating them into Snowflake and Power BI.
Participate in defining test scenarios, plans, and scripts for data products.
Assist in integrating internal and external systems with Snowflake and Power BI.
What we're looking for
Extensive experience (5-8 years) in data analysis and Power BI.
Proficiency in SQL, DAX query languages, and data modeling.
Experience with Snowflake or other RDBMS systems.
Strong background in cross-functional data initiatives and business process analysis.
Ability to develop and manage enterprise data products according to CMU’s guidelines.
Excellent customer service skills and the ability to prioritize multiple tasks.
Understanding of structured and unstructured data, including integration into Snowflake and Power BI.
Market check
Salary context
This listing doesn't show a salary. Similar roles on FindRole typically pay
$111,700–$191,500.
Peer median band
$111,700–$191,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$126,800–$199,800
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Carnegie Mellon University
Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research
Carnegie Mellon University currently has
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