Senior Data Analyst, Enterprise

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Act as a vital analytical partner to the Customer Success team and the product-driven, digital customer journey.

• Examine customer progression from sign-up to activation, engagement, conversion, expansion, and renewal.

• Pinpoint drivers of adoption, retention, and expansion, transforming insights into actionable growth strategies.

• Establish metrics for the success of digital and scaled initiatives.

• Assess opportunities and determine where the business should focus its investments.

• Assist in developing data foundations that support AI and automation capabilities.

• Leverage AI to expedite SQL development, validate interpretations, and craft executive narratives.

• Develop or assist in the creation of Generative BI applications for stakeholder data exploration.

• Set data quality standards, governance, and structure to facilitate AI transformation.

• Work collaboratively across functions with Customer Success, Product, Growth, RevOps, Data Engineering, Marketing, and Finance.

• Contribute to the establishment of analytical standards and daily performance decision-making.

⛳️ Requirements

• Minimum of 5 years of analytics experience in complex B2B SaaS environments, preferably in a product-led or self-service context.

• Strong expertise in PLG and customer lifecycle, including activation, PQLs, cohort analysis, retention, churn, expansion, and growth modeling.

• Proven experience collaborating with Customer Success, Product, and Growth stakeholders.

• Capability to translate ambiguous business inquiries into analytical frameworks.

• Proficient in synthesizing complex analyses into straightforward recommendations and communicating effectively with senior leaders.

• Experience with experimentation, statistical modeling, or predictive techniques such as churn or propensity modeling.

• Advanced SQL skills and substantial experience with large-scale analytical datasets, including product usage and event data.

• Practical experience with contemporary AI/BI tools such as Hex, Omni, Claude, Dust, or similar platforms.

• Familiarity with Snowflake, Databricks, and dbt.

• Experience with Salesforce and customer success platforms like Gainsight or similar tools.

• Knowledge of product analytics tools such as Amplitude or Segment is advantageous.

• Must be legally authorized to work in the United States or Canada; no work authorization, relocation assistance, or visa sponsorship/transfers will be provided.

• Successful candidates will need to pass a background check.

🏝️ Benefits

• Immediate enrollment in 1Password's benefits program, which includes health and dental coverage.

• 401(k) plan for employees based in the USA.

• RRSP plan for employees based in Canada.

• Generous paid time off policy.

• Equity grants available.

• Incentive programs where applicable.

• Maternity and parental leave top-up programs.

• Competitive health benefits package.

• RSU program available for most employees.

• Retirement matching program.

• Complimentary 1Password account.

• Paid volunteer days.

• Peer-to-peer recognition through Bonusly.

• Remote-first work culture.

• Annual offsite events for the entire department, team meetings, and participation in customer/industry events.