- Company Name
- Pigment
- Job Title
- CX Analyst
- Job Description
-
**Job Title**
CX Analyst
**Role Summary**
Leads data strategy and analytics for Customer Success (CS) and Professional Services (PS) to drive customer health, churn prediction, and revenue expansion across global enterprise accounts. Collaborates with CS leadership, product, finance, sales, and data engineering to deliver trusted, scalable insights and enable data‑driven decision‐making.
**Expectations**
- Own CS executive dashboards (customer health, churn risk, renewals, NRR, GRR, adoption, expansion).
- Build advanced analytics models and customer‑level datasets for enterprise lifecycle analysis.
- Standardize enterprise CS & PS metrics across regions.
- Deliver actionable insights that reduce churn risk visibility to >90 days and support renewal/expansion planning.
- Ensure data quality, governance, and documentation for all post‑sales data assets.
**Key Responsibilities**
- Design, maintain, and optimize scalable data pipelines from Salesforce, Vitally, Pigment, FreshDesk, Skilljar, Netsuite, Gong, and other tools.
- Partner with Data Engineering on data transformations (dbt), warehouse modeling, and model deployment.
- Create and maintain role‑based reporting for CSMs, managers, and executives.
- Train CS teams on data usage in QBRs, account planning, and renewal strategy.
- Drive internal adoption of Analyst & Modeler AI Agents.
- Act as analytics partner to CS & PS leadership, answering high‑impact questions on churn drivers, expansion opportunities, and product adoption correlations.
- Standardize and document CS & PS metrics definitions and usage guidelines.
- Monitor data quality and implement governance practices across all post‑sales data assets.
**Required Skills**
- 5–8+ years in Data Analytics, Analytics Engineering, or Business Intelligence.
- Advanced SQL proficiency; experience with cloud data warehouses (Snowflake, BigQuery, Redshift).
- Strong understanding of SaaS metrics at scale (ARR, GRR, NRR, churn, expansion, usage).
- Hands‑on experience with BI tools (Looker, Tableau, Power BI, Mode).
- Experience supporting enterprise CS or RevOps teams.
- Proven ability to design and implement scalable ETL pipelines.
- Knowledge of data quality, governance, and documentation best practices.
- Ability to communicate complex analytics insights to non‑technical stakeholders.
**Nice‑to‑Have**
- Experience with Gainsight, Totango, Salesforce, Zendesk, Segment, Amplitude.
- Familiarity with dbt, Python, or analytics engineering tools.
- Background in B2B enterprise SaaS environments.
- Exposure to complex renewal and account planning motions.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, Business, or related field.
- Certifications in SQL, cloud data warehousing (Snowflake, BigQuery), or BI tools (Looker, Tableau, Power BI) preferred but not mandatory.