Lead Data Analyst

Jobgether • United State
Remote
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AI Summary

Lead Data Analyst role involves shaping customer success through data analysis and insights. The selected candidate will architect data models, define customer outcomes, and drive retention and expansion. Key requirements include expertise in SQL, data modeling, and ETL design, as well as strong communication and data storytelling skills.

Key Highlights
Architect data models for customer success
Define customer outcomes and drive retention and expansion
Collaborate with multiple departments for cross-departmental collaboration
Key Responsibilities
Build and scale analytics infrastructure
Develop ROI, TCO, and outcome models for customer lifecycle metrics
Establish a single source of truth for value data with reproducible pipelines
Technical Skills Required
SQL Data modeling ETL design R Python Looker Hex
Benefits & Perks
Fully remote work environment
Flexible work hours with a focus on results
Opportunity to participate in company equity plans
Nice to Have
Experience with BI platforms like Looker or Hex
Academic or professional experience in a quantitative field

Job Description


This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Data Analyst - REMOTE. In this role, the selected candidate will play a crucial part in shaping the framework for customer success through data analysis and insights. You will be tasked with architecting data models that connect product outcomes to business impact, ultimately driving retention, expansion, and trust among our customers. By collaborating with multiple departments such as RevOps and Data Engineering, you will define how customer outcomes are measured, ensuring that our business value is not only delivered but demonstrably proven. Your work will directly influence strategic decisions while fostering a culture of analytical rigor and clear communication.

Accountabilities

  • Build and scale analytics infrastructure to translate customer data into business benchmarks.
  • Develop ROI, TCO, and outcome models for customer lifecycle metrics.
  • Standardize the HubSpot Value Methodology for cross-departmental collaboration.
  • Establish a single source of truth for value data with reproducible pipelines.
  • Lead investigations into customer performance trends to improve retention and expansion.
  • Create frameworks and dashboards for executives to visualize the impact of products.
  • Mentor within the Operations Analytics community by advocating for data governance.
  • Collaborate with multiple departments to ensure applied value metrics.

Requirements

  • 5+ years in data-driven roles focusing on measurable business outcomes.
  • Expertise in SQL, data modeling, and ETL design with enterprise-scale data.
  • Proficient 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, focused on uncovering insights.
  • Experience with BI platforms like Looker or Hex is a plus.
  • Academic or professional experience in a quantitative field.

Benefits

  • Fully remote work environment.
  • Flexible work hours with a focus on results.
  • Opportunity to participate in company equity plans.
  • Tailored compensation packages based on experience.
  • Access to extensive benefits and perks that promote employee growth.
  • A culture that supports continuous learning and development.
  • Minimal travel requirements, mainly for strategic offsites.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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