Lead Data Analyst

1. About Our Client:

The organization operates in the customer success and data analytics space, addressing the challenge of linking product outcomes to measurable business impact. By leveraging data analysis and cross-department collaboration, the program focuses on driving customer retention, expansion, and trust. The organization emphasizes data-driven decision-making and analytical rigor across its operations to demonstrate and enhance business value.

2. About the Opportunity:

The Lead Data Analyst role is responsible for developing data models and analytics frameworks that connect customer outcomes with business impact. This position plays a key part in shaping how customer success is measured and demonstrated, influencing strategic decisions across the organization. The role requires collaboration with various departments to ensure consistent and actionable value metrics, supporting retention and growth.

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 value methodologies for cross-department collaboration

• Establish a single source of truth for value data through reproducible pipelines

• Investigate customer performance trends to improve retention and expansion

• Create executive dashboards to visualize product impact

• Mentor within the analytics community, promoting data governance

• 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 ETL design at an enterprise scale

• Proficiency in R or Python for analytics and statistical modeling

• Strong communication and data storytelling skills

• Ability to influence senior stakeholders, including C-level audiences

• Curiosity and ownership mindset aimed at uncovering insights

• Experience 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 extensive benefits and perks supporting employee growth

• Culture that promotes 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.