[Hiring] AI Value Partner, Customer Analytics @Cresta
AI Value Partner, Customer Analytics @Cresta
Data and Analytics
Salary base salary + b..
Remote Location
Employment Type full-time
Posted 2d ago

[Hiring] AI Value Partner, Customer Analytics @Cresta

2d ago - Cresta is hiring a remote AI Value Partner, Customer Analytics. 💸 Salary: base salary + bonus + equity 📍Location: Worldwide

Role Description

Cresta is expanding its Customer Success organization with a dedicated analytics function focused on customer value realization. As an AI Value Partner, Customer Analytics , you’ll be the technical engine behind measuring and storytelling customer impact—designing experiments, analyzing conversational and operational data, and building dashboards that quantify Cresta’s value.

You’ll sit within the Customer Success organization and partner closely with Customer Success Managers, Sales, Product, and Engineering . Your work will power ROI discussions, pilots, QBRs, and ongoing strategic customer engagements.

This role is ideal for someone early in their data science career who enjoys hands-on analytics, problem-solving, and turning ambiguous business questions into clear, actionable insights.

Key Responsibilities

  • Customer Analytics & Insight Generation
    • Conduct exploratory data analysis (EDA) across conversational, operational, and performance datasets
    • Translate ambiguous business questions into structured analytical problems
    • Analyze how workflow, behavior, and product usage changes translate into business value
  • Experimentation & Pilot Measurement
    • Design and analyze A/B tests and quasi-experiments to measure Cresta’s impact
    • Establish baselines, metrics, and measurement plans for pilots
    • Ensure results are statistically rigorous and easy for non-technical stakeholders to understand
    • Build reusable templates and frameworks for consistent experimentation
    • Work directly with customers to guide them towards our ideal experiment setup
  • Dashboards, Reporting & Automation
    • Build and maintain dashboards tracking customer ROI
    • Develop Python and SQL tools to improve repeatability, accuracy, and scalability
    • Create standardized reporting packages for pilots, QBRs, and renewals
  • Modeling & Advanced Analytics
    • Develop custom statistical or ML models (e.g., segmentation, predictive scoring, lightweight NLP)
    • Maintain reusable modeling pipelines for value insights and roadmap analysis
    • Partner with Engineering when guidance or productionization support is needed
  • Cross-Functional Collaboration
    • Translate analyses into clear business and financial narratives
    • Support CSMs with data and insights for strategic QBRs
    • Partner with Product and Engineering on metrics, data availability, and analytics enhancements

Qualifications

  • 1–3 years of experience in a data-focused role or relevant academic experience
  • Strong proficiency in SQL and experience working with large datasets
  • Proficiency in Python (Pandas, NumPy, scikit-learn)
  • Solid understanding of statistics, hypothesis testing, and experimental design
  • Experience building dashboards in tools such as Hex, Looker, Tableau, or similar
  • Strong communication skills with non-technical stakeholders
  • Comfort working in a fast-paced, cross-functional environment

Preferred Qualifications

  • Experience with conversational data (call transcripts, chats) or text analytics
  • Familiarity with causal inference, uplift modeling, or A/B testing frameworks
  • Exposure to customer-facing analytics or support roles
  • Experience with cloud data stacks (Snowflake, Redshift, etc.)
  • Basic NLP or classification experience related to agent behavior or customer intent

Success Criteria

  • Within 6–9 months, a successful hire will have:
    • Built dashboards and reporting foundations used across Customer Success
    • Implemented standardized pilot measurement and experimentation approaches
    • Supported strategic customer analyses that improved renewals or expansion confidence
    • Created scripts and automations that significantly reduce manual analysis
    • Earned trust as the go-to analytics partner for Customer Success

Perks & Benefits

  • We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
  • Flexible vacation time to promote a healthy work-life blend
  • Paid parental leave to support you and your family
  • Monthly Gym & Phone allowance
  • Work from home office stipend to help you succeed in a remote environment
  • Lunches and dinners included for in-office employees via Grubhub

Compensation At Cresta

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

Compensation for this position includes a Base salary + Bonus + Equity. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. Your recruiter can provide further details. In addition, total compensation includes a comprehensive benefits package for you and your family.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to [email protected].

Before You Apply
worldwide Be aware of the location restriction for this remote position: Worldwide
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
AI Value Partner, Customer Analytics @Cresta
Data and Analytics
Salary base salary + b..
Remote Location
Employment Type full-time
Posted 2d ago
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worldwide Be aware of the location restriction for this remote position: Worldwide
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Interview Scheduled
Interview Completed
Offer Accepted
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