Description

Minimum qualifications: 
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical 
experience. 
Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, 
Scala, etc.) 
5+ years of experience querying non relational databases using SQL or Python. 
5+ years of experience working in an analytical capacity developing insights, defining metrics, and making 
recommendations. 
Presentation and communications experience with extracting insights from technical data sets to varied 
audiences. 
Experience thinking strategically about complex issues, leading to thoughtful recommendations and action plans. 
Responsibilities 
Collaborate with engineers, product managers and data scientists to understand data needs, representing key 
data insights in a meaningful way. 
Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and 
operations for allocated areas of ownership. 

Candidate Requirements 
Must-Have Skills 
1 Data analysis and insights experience with strong SQL and 
Python proficiency 
2 Strong cross-functional collaboration and communication skills 
3 Data pipeline development and management, including ETL 
and data modeling 
Nice-to-have Skills 
1 AI tooling experience and familiarity with leveraging AI to 
enhance productivity 
2 Experience working with LLM models to generate insights 
3 Experience with CRM data systems or data graph structures 
Years of overall experience required?  5+ years 
Degrees/certifications required? Bachelor's degree in Computer Science, Computer Engineering, 
relevant technical field, or equivalent practical experience

Key Skills

Education

Bachelor's degree