Senior Data Analyst, RevOps

Accountabilities:

• Support the full post-sales lifecycle by providing analytical insights across account management, customer success, and revenue operations to drive retention and expansion.

• Track, analyze, and report on key revenue metrics such as churn, net revenue retention, gross retention, expansion rates, and customer health indicators.

• Partner with cross-functional stakeholders to define KPIs, standardize reporting frameworks, and deliver consistent performance insights.

• Develop and maintain scalable data pipelines and automated reporting workflows to ensure accurate and timely business visibility.

• Design, build, and manage dashboards that monitor customer health, renewal risk, and revenue trends across the organization.

• Lead deep-dive analytics initiatives that uncover growth opportunities and inform strategic decisions.

• Translate complex datasets into clear, actionable insights for both technical and non-technical stakeholders.

Requirements:

• 5+ years of experience as a Data Analyst, Business Analyst, or similar role with strong exposure to large-scale datasets and business intelligence.

• Advanced proficiency in SQL with strong hands-on experience building queries, models, and data transformations.

• Experience with BI tools such as Looker or Tableau, along with strong Excel or Google Sheets skills.

• Solid understanding of RevOps and post-sales metrics, including churn, NRR, GRR, expansion, and customer health scoring.

• Experience working with Salesforce data, particularly account management and renewal-related objects.

• Bachelor’s degree in a quantitative field such as Data Science, Economics, Statistics, or Operations Research.

• Strong communication skills with the ability to translate technical analysis into clear business recommendations.

• Highly structured, detail-oriented, and proactive mindset with strong ownership and execution ability.

• Exposure to customer success platforms (e.g., Gainsight or similar tools) is a plus.

Benefits:

• Competitive base salary ranging from $114,000 to $158,000 USD depending on experience and location

• Equity and/or variable compensation opportunities based on role and performance

• Comprehensive benefits package including medical, dental, and vision coverage

• Retirement plan options and financial wellness benefits

• Flexible work environment with hybrid or remote options depending on role needs

• Paid time off and additional flexibility to support work-life balance

• Career development opportunities within a fast-growing, data-driven organization

• Access to modern analytics tools and a strong data-focused culture

• Opportunity to directly impact revenue growth, retention, and business strategy.