Senior Data Analyst Customer Success H/F Pigment

We are seeking a to join our In this role, you will own the data strategy that powers our global Customer Success & Professional Services organizations helping us understand customer health, predict risk, and drive retention and expansion across complex enterprise accounts. You'll operate at the intersection of , partnering with CS leadership, Product, Finance, and Sales to ensure decisions are grounded in trusted, scalable data.

What you'll do

• Executive & Operational Analytics

Own CS executive dashboards: customer health, churn risk, renewals, NRR, GRR, adoption, and expansionBuild advanced Pigment models and customer-level datasets for enterprise lifecycle analysisStandardize enterprise CS & PS metrics and definitions across teams and regions

• Data Architecture & Automation

Design and maintain scalable data pipelines from Salesforce, Vitally, Pigment, FreshDesk, Skilljar, Netsuite, Gong and other tools in our stackPartner with Data Engineering on transformations (dbt, warehouse modeling)Drive internal usage & adoption of our Analyst & Modeler AI AgentsEnsure data quality, governance, and documentation for all post-sales data assets

• Strategic Business Partnership

Act as the analytics partner to CS & PS leadership and regional customer orgsAnswer high-impact questions like:What predicts churn in enterprise accounts?Where are our expansion opportunities?How does product adoption correlate to renewal outcomes?

• Enablement & Self-Service

Build role-based reporting for CSMs, Managers, and ExecutivesTrain CS teams on how to use data in QBRs, account planning, and renewal strategyDrive adoption of data tools and insight-driven workflows

Who you are

• Required Qualifications
• 5-8+ years in Data Analytics, Analytics Engineering, or Business IntelligenceAdvanced SQL and experience with enterprise-scale data warehouses (Snowflake, BigQuery, Redshift)
• Strong experience with SaaS metrics at scale (ARR, GRR, NRR, churn, expansion, usage)
• Hands-on experience with BI tools (Looker, Tableau, Power BI, Mode, etc.)
• Experience supporting enterprise CS or RevOps teams

• Nice-to-Have
• Pigment experience
• Experience with Gainsight, Totango, Salesforce, Zendesk, Segment, Amplitude, or similardbt, Python, or analytics engineering background
• Experience in B2B enterprise SaaS environments
• Familiarity with complex renewal and account planning motions

• What Success Looks Like
• CS leadership relies on your insights for forecast, renewal, and expansion planning
• Churn risk is visible 90+ days in advance
• CSMs use your dashboards in every QBR
• Data is trusted, consistent, and embedded in CS workflows

What we offer

• Competitive package
• Equity
• Healthcare
• Along with one company offsite every year, we have brand new offices at the heart of major cities including New York, Toronto, Paris, and London
• High-end equipment (based on stock/availability) to do your work in the best conditions.
• Hybrid remote policy

How we work

• Thrive Together: We can only win as a team. We are all founders and do the right thing for our peers, Pigment customers, partners, and the planet.
• Never Settle: We aim to become the best at what we do by delivering with rigor and ambition every day. Delivering means building a passionate Pigment community.
• Go for it: We are biased towards action. Every action leads to learning and these learnings get us one step closer to our mission.
• Be real, be humble: We are generous with our feedback, open to change our views and we approach it with empathy knowing everyone is trying to do the best for Pigment.

We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully prior to formal employment contracts being signed, with candidate consent, and information will be treated confidentially.Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace.All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our .We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.