AI Value Partner, Customer Analytics
Core
Technical engine for measuring and storytelling customer impact by designing experiments, analyzing conversational/operational data, and building dashboards to quantify ROI for the Customer Success organization.
Role type
Junior data scientist (customer analytics)
Builds
Dashboards, reporting packages, and reusable analysis frameworks for pilots and QBRs
Domain
B2B SaaS / Customer Success / Conversational AI
Deliverable
dashboards & analysis
Required skills
SQL, Python (Pandas, NumPy, scikit-learn), statistics, hypothesis testing, experimental design, dashboarding tools (Hex, Looker, Tableau)
Preferred skills
Conversational data/text analytics, causal inference, uplift modeling, cloud data stacks (Snowflake, Redshift), basic NLP
Technologies
Python, SQL, Pandas, NumPy, scikit-learn, Hex, Looker, Tableau, Snowflake, Redshift
Responsibilities
Conduct exploratory data analysis (EDA) across conversational and operational datasets; Design and analyze A/B tests and quasi-experiments to measure product impact; Build and maintain dashboards tracking customer ROI; Develop Python/SQL tools to improve repeatability and scalability; Translate ambiguous business questions into structured analytical problems; Partner with Customer Success Managers and Product teams on metrics and data availability
Seniority
Junior, early career
