Lead Data Analyst

1. About Our Client:

The organization operates in the data analytics and customer success space, addressing the challenge of linking product outcomes to measurable business impact. It focuses on delivering and proving business value through data-driven insights across departments such as Revenue Operations and Data Engineering. The company emphasizes analytical rigor and clear communication to influence strategic decisions and drive customer retention and expansion.

2. About the Opportunity:

The Lead Data Analyst will shape the framework for measuring and demonstrating customer success through data. This role is responsible for designing data models that connect product outcomes to business results, driving customer retention and growth. The position impacts strategic decision-making by collaborating across departments to define and standardize how customer outcomes are measured and communicated.

3. Responsibilities:

• Build and scale analytics infrastructure to convert customer data into business benchmarks

• Develop ROI, TCO, and outcome models for customer lifecycle metrics

• Standardize cross-departmental value measurement methodologies

• Create a single source of truth for value data with reproducible pipelines

• Investigate customer performance trends to improve retention and expansion

• Develop executive dashboards to visualize product impact

• Mentor colleagues on data governance and analytics best practices

• Collaborate with multiple departments to apply value metrics effectively

4. Requirements:

• 5+ years in data-driven roles focused on measurable business outcomes

• Expertise in SQL, data modeling, and enterprise-scale ETL design

• Proficient in R or Python for analytics and statistical modeling

• Strong communication and data storytelling abilities

• Experience influencing senior stakeholders, including C-level audiences

• Curiosity and ownership mindset toward uncovering insights

• Familiarity with BI platforms like Looker or Hex is a plus

• Academic or professional background in a quantitative field

5. Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

6. Benefits & Perks:

• Fully remote work environment

• Flexible work hours focused on results

• Opportunity to participate in company equity plans

• Tailored compensation packages based on experience

• Access to benefits and perks supporting employee growth

• Culture supporting continuous learning and development

• Minimal travel, mainly for strategic offsites

Equal Opportunity Statement:

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.