Company
SaaS
Sr.GrowthDataAnalyst(PLG)
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Growth Data Analyst (PLG). Skills: Growth analysis, A/B testing, Data visualization, Product analytics. Own and analyze full-funnel growth performance. Identify drivers of conversion”
Industry & Context.
Translate complex data; Solution-oriented thinking
What They're Looking For.
Must Have
4-6 years of experience, Advanced English proficiency, SQL skills, Experience with large datasets, Experience with complex data structures, Hands-on experience with product analytics tools, Proficiency in BI and dashboarding tools, Solid understanding of PLG and growth metrics, Ability to translate complex data into clear insights, Ability to translate complex data into actionable recommendations, Experience collaborating with data engineering teams, Experience collaborating with analytics teams
Nice to Have
Mixpanel experience preferred, Amplitude experience preferred, Heap experience preferred, Looker experience preferred, Tableau experience preferred, Power BI experience preferred
What You'll Do.
Own and analyze full-funnel growth performance
Identify drivers of conversion
Identify drop-off points
Partner with Growth teams
Partner with Marketing teams
Define success metrics for campaigns
Track success metrics for campaigns
Define success metrics for lifecycle initiatives
Track success metrics for lifecycle initiatives
Define success metrics for product-led experiments
Track success metrics for product-led experiments
Evaluate channel performance
Evaluate cohort quality
Evaluate user behavior
Guide investment decisions
Identify leading indicators of conversion
Identify leading indicators of retention
Identify leading indicators of expansion
Translate behavioral data into actionable insights
Connect acquisition metrics to revenue outcomes
Connect activation metrics to revenue outcomes
Build recurring reports
Maintain recurring reports
Improve recurring reports
Build growth analytics frameworks
Maintain growth analytics frameworks
Improve growth analytics frameworks
Enhance metric definitions
Enhance attribution models
Use AI tools to automate analysis
Use LLM tools to automate analysis
Use AI tools to detect anomalies
Use LLM tools to detect anomalies
Use AI tools to summarize performance trends
Use LLM tools to summarize performance trends
Collaborate with Product teams
Ensure proper instrumentation of key events
Evaluate impact of product changes on growth metrics
How You'll Work.
Team & Collaboration
Growth teams; Marketing teams; Product teams; Data engineering teams; Analytics teams; Global, cross-functional environments
Communication Scope
Clear insights; Actionable recommendations
Full Job Description
## Accountabilities Own and analyze full-funnel growth performance (traffic, sign-up, activation, trial, upgrade), identifying drivers of conversion and drop-off points. Partner with Growth and Marketing teams to define and track success metrics for campaigns, lifecycle initiatives, and product-led experiments. Evaluate channel performance, cohort quality, and user behavior to guide investment decisions and prioritization. Design, support, and analyze A/B tests across onboarding flows, landing pages, messaging, and monetization touchpoints. Identify leading indicators of conversion, retention, and expansion, translating behavioral data into actionable insights. Connect acquisition and activation metrics to downstream revenue outcomes such as MRR, retention, and expansion. Build, maintain, and improve dashboards, recurring reports, and growth analytics frameworks. Enhance data quality, metric definitions, and attribution models for growth-related tracking. Use AI and LLM-based tools to automate analysis, detect anomalies, and summarize performance trends. Collaborate with Product teams to ensure proper instrumentation of key events and evaluate the impact of product changes on growth metrics. Requirements: 4–6 years of experience as a Data Analyst, ideally supporting Growth, Marketing, or Product teams in a SaaS or PLG environment. Advanced English proficiency, with comfort working in global, cross-functional environments. Strong SQL skills and experience working with large, event-level datasets and complex data structures. Hands-on experience with product analytics tools such as Mixpanel, Amplitude, Heap, or similar platforms. Proficiency in BI and dashboarding tools such as Looker, Tableau, Power BI, or equivalents. Solid understanding of PLG and growth metrics (activation, conversion, retention, cohort analysis, CAC, monetization). Ability to translate complex data into clear insights and actionable recommendations, going beyond analysis into solution-oriented thi
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