Business Analyst, Customer Success Analytics & AI
Job in
Eagan, Dakota County, Minnesota, USA
Listed on 2026-02-28
Listing for:
TRSS
Full Time
position Listed on 2026-02-28
Job specializations:
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager -
Business
Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Employer Industry: Legal and Professional Information Services
Why consider this job opportunity- Salary up to $137,800
- Opportunity for career advancement and growth within the organization
- Flexibility to work remotely for up to 8 weeks per year
- Comprehensive benefits package including flexible vacation, mental health days, and tuition reimbursement
- Strong emphasis on work‑life balance and employee wellbeing programs
- Chance to make a real‑world impact in the community through various social initiatives
- Partner with Customer Success leaders and cross‑functional stakeholders to identify goals and analytics requirements
- Manage a prioritized Customer Success analytics/insights roadmap, ensuring timely delivery and stakeholder communication
- Produce insights and recommendations that drive action across the Customer Success lifecycle
- Define and execute the Customer Success AI strategy, including identifying and prioritizing AI use cases
- Guide teammates on data best practices and ensure high‑quality outputs from analytics teams
- 4–8+ years of experience in Business Analysis, Customer Success Operations, or similar roles
- 1–2+ years of experience using AI‑driven analytics platforms or machine learning tools
- Strong skills in requirements gathering and stakeholder management
- Proven ability to translate data into executive‑ready narratives and actionable plans
- Analytical fluency in KPI design, segmentation analysis, and data quality awareness
- Experience supporting Customer Success motions like adoption and renewals
- Familiarity with digital Customer Success programs and SQL/Snowflake or Power BI/Tableau reporting
- Experience implementing AI‑enabled workflows with measurement and governance
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