Senior Data Analyst

About Customer.io

Over 8,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

To continue scaling effectively, we’re looking for a Senior Data Analyst to shape how we define and measure success across our Revenue Organization including, Revenue Operations, Customer Success, Technical Support, and Account Management. This role is central to building alignment, uncovering insights, and driving data-informed decisions that help us understand success across the customer journey, improve retention, and drive revenue growth.

About the Role

As our next Senior Data Analyst, you’ll play a key role in shaping the data strategy that powers our Revenue organization. You’ll act as a strategic partner to Revenue leaders — translating data into insights that inform decisions, guide priorities, and uncover opportunities to improve retention, revenue, and the overall customer experience.

This role is perfect for someone who thrives on turning complexity into clarity — someone who enjoys connecting data across systems, identifying meaningful patterns, and transforming insights into action. You’ll collaborate closely with the broader Data team while serving as a trusted partner to Revenue stakeholders, helping our teams make smarter, faster, and more data-driven decisions.

What we value

Ownership: You take initiative, follow through on commitments, and see problems through to resolution. You don’t wait for someone else to ask — you make things happen.

Curiosity: You ask thoughtful questions and seek to understand the “why” behind the data. You explore patterns, challenge assumptions, and look for meaningful insights that drive better decisions.

Critical Thinking: You go beyond surface-level metrics. You can connect dots across systems and teams to uncover root causes and make recommendations that matter.

Communication: You make complex data easy to understand. You tailor insights for your audience — whether it’s a teammate, a stakeholder, or a senior leader.

Collaboration: You’re a true partner to your stakeholders. You build trust through transparency, follow-up, and accountability, ensuring everyone’s aligned on what success looks like.

What you’ll do

• Serve as a strategic thought partner to Revenue leaders, helping shape goals, initiatives, and priorities through data-driven insights.
• Define and standardize key metrics such as Time to Value (TTV), Cost per Contact (CPC), and escalation costs — ensuring everyone’s speaking the same data language.
• Build reporting and dashboards that clearly measure success and provide meaningful visibility into Revenue performance.
• Investigate data gaps and inconsistencies across systems like Planhat, Salesforce, Zendesk, and Snowflake, and partner with the Data team to resolve them.
• Deliver insights and recommendations that highlight friction points, efficiency wins, and opportunities for self-service or automation.
• Partner cross-functionally to ensure reporting and insights align with company-wide goals, data models, and strategic initiatives
• Leverage AI tools to enhance data analysis, automate routine tasks, and uncover new insights faster.

What we're looking for

• 5-8 years experience in a B2B SaaS environment, ideally working closely with RevOps, Customer Success, Support, or Account Management teams.
• Hands-on experience building scalable dashboards and reports in BI tools (e.g., Looker, Sigma, Tableau, or similar) to support business decisions.
• Proficiency with dbt and Snowflake for data modeling, and SQL and Python for data analysis (required).
• Experience working with CRM, CSM, or support systems such as Salesforce, Zendesk, and Planhat.
• Strong analytical and problem-solving skills with a knack for simplifying complex data stories.
• Curiosity about AI — you use (or are excited to use) AI tools to optimize workflows and explore data creatively.
• Excellent communication and stakeholder management skills; you make data meaningful for non-technical audiences.
• A proactive, ownership-driven mindset — you take initiative, ask smart questions, and move projects forward without heavy o