Posted on 2025/12/15
Analytics Analyst (Associate)
Envive AI (formerly Spiffy AI)
Seattle, WA, United States
Qualifications
- 2+ years of experience in analytics, business intelligence, or data analysis roles
- Strong proficiency with Amplitude, Shopify, Google Analytics, and Excel/Google Sheets
- Understanding of ecommerce metrics (conversion rates, AOV, attribution, customer lifetime value)
- Experience building dashboards and performance reports for stakeholders
- Ability to QA data, identify discrepancies, and ensure reporting accuracy
- Comfortable working directly with customers to understand their analytics needs and present findings
- Clear communication skills and ability to translate data into business recommendations
- Quick learner who can master new internal tools and platforms
- Thrives in a fast-moving Series A environment with shifting priorities
- Nice to have: Experience with ecommerce marketing platforms (Klaviyo, Attentive, etc.), A/B testing and experimentation, data visualization tools (Looker, Tableau), or customer success analytics
- Location Based in Seattle or New York City (hybrid schedule)
- Open to remote for right candidate
Responsibilities
- Pull custom metrics and build analytics reports for enterprise clients to demonstrate Envive's impact
- Create performance review decks that clearly communicate conversion lift, revenue attribution, and key business outcomes
- Build and maintain client health score dashboards to identify at-risk accounts and expansion opportunities
- Partner with Customer Success and Analytics to answer client questions about their data and resolve reporting discrepancies
- Join client calls when needed to walk through analytics, explain methodology, and troubleshoot data questions
- Design repeatable reporting templates and workflows that scale across the customer base
- Conduct deep-dive analyses to understand why certain implementations are outperforming others
- Become an expert in Envive Hub and internal analytics tools to support both internal teams and customers
- Work with Product and Engineering to improve data quality, tracking implementation, and analytics capabilities
- Document analytics methodologies, metric definitions, and best practices for the team
Full Description
About Envive AI
Envive is using AI to reimagine commerce.
We envision a future where retailers and brands can easily deploy hyper-personalized shopping experiences — so customers convert faster, with zero friction.
Our core engine combines cutting-edge research and real-time reinforcement learning to deliver a self-improving AI sales team on any product page.
We're already seeing commercial success with top brands, and are scaling fast.
Come build the future of shopping with us.
What you'll do
• Pull custom metrics and build analytics reports for enterprise clients to demonstrate Envive's impact
• Create performance review decks that clearly communicate conversion lift, revenue attribution, and key business outcomes
• Build and maintain client health score dashboards to identify at-risk accounts and expansion opportunities
• Partner with Customer Success and Analytics to answer client questions about their data and resolve reporting discrepancies
• Join client calls when needed to walk through analytics, explain methodology, and troubleshoot data questions
• Design repeatable reporting templates and workflows that scale across the customer base
• Conduct deep-dive analyses to understand why certain implementations are outperforming others
• Become an expert in Envive Hub and internal analytics tools to support both internal teams and customers
• Work with Product and Engineering to improve data quality, tracking implementation, and analytics capabilities
• Document analytics methodologies, metric definitions, and best practices for the team
What we're looking for
• 2+ years of experience in analytics, business intelligence, or data analysis roles
• Strong proficiency with Amplitude, Shopify, Google Analytics, and Excel/Google Sheets
• Working knowledge of SQL and BigQuery for data extraction and analysis is a plus but its not required
• Understanding of ecommerce metrics (conversion rates, AOV, attribution, customer lifetime value)
• Experience building dashboards and performance reports for stakeholders
• Ability to QA data, identify discrepancies, and ensure reporting accuracy
• Comfortable working directly with customers to understand their analytics needs and present findings
• Clear communication skills and ability to translate data into business recommendations
• Quick learner who can master new internal tools and platforms
• Thrives in a fast-moving Series A environment with shifting priorities
Nice to have: Experience with ecommerce marketing platforms (Klaviyo, Attentive, etc.), A/B testing and experimentation, data visualization tools (Looker, Tableau), or customer success analytics.
Location Based in Seattle or New York City (hybrid schedule).
Open to remote for right candidate.

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