Customer Health & Adoption Analytics Analyst

ePayPolicy; Austin (TX); Hybride; USD 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Comprehensive benefits

401K

Flexible Paid Time Off

Lunch stipend onsite

Open communication culture

Growth opportunities

Résumé du poste

ePayPolicy is building a data-driven customer experience organization. We seek an analyst to define data signals that predict health and adoption velocity, build dashboards that surface at-risk accounts, and drive actions to improve customer outcomes.

You will collaborate with our AI engineer and analytics team to ensure metrics are defined consistently, report across systems, and translate insights for non-technical stakeholders.

Qualifications

• 4–5 years of analytics or operations work in a customer-facing organization (SaaS customer success, customer insights, customer operations, product analytics, or similar).
• Strong SQL or similar query language. You can write queries to answer business questions independently.
• BI reporting and visualization experience (Tableau, Looker, Power BI, or similar). You can navigate a reporting tool, ask what data exists, and build dashboards that tell a story.
• Metric thinking. You naturally ask how would we measure that? You understand the difference between activity and outcome.
• Detail-oriented and collaborative. You notice inconsistencies, you ask why, and you work well across teams.

Responsabilités

• Own the Foundation of Customer Health & Risk Monitoring by defining data signals and building dashboards to surface at-risk accounts.
• Build Adoption & Engagement Metrics by tracking time-to-first-use, velocity of engagement, feature adoption, and cohort analysis.

Connaissances

SQL

BI reporting

Metric thinking

Detail-oriented

Collaborative

Outils

Tableau

Looker

Power BI

Description du poste

ePayPolicy is building a data-driven customer experience organization. We seek an analyst to define data signals that predict health and adoption velocity, build dashboards that surface at-risk accounts, and drive actions to improve customer outcomes.

You will collaborate with our AI engineer and analytics team to ensure metrics are defined consistently, report across systems, and translate insights for non-technical stakeholders.