Meshy is seeking a data-driven analyst to uncover insights from user behavior, identify growth opportunities and bottlenecks, and design actionable data strategies to build and optimize their growth funnel, conduct granular user segmentation, and develop strategies for different user groups, ultimately informing user acquisition and monetization success.
Requirements
- Proficiency in SQL and ability to write complex queries for data extraction and aggregation.
- Skilled in at least one analytics/visualization tool such as Tableau, Power BI, Looker, or Metabase.
- Strong understanding of statistical analysis and A/B testing principles.
- Deep understanding of user growth concepts and familiarity with the AARRR (Acquisition-Activation-Retention-Revenue-Referral) framework.
- Experience with dbt or building data infrastructures/schemas.
- Hands-on experience with user behavior analytics tools such as Amplitude, PostHog, or Mixpanel.
- Familiarity with attribution tools like Google Analytics or AppsFlyer.
Responsibilities
- Build, monitor, and continuously optimize the full-funnel growth process from acquisition, activation, and retention to monetization and referral.
- Analyze conversion rates across funnel stages, identify growth bottlenecks, and deliver actionable optimization recommendations.
- Evaluate A/B tests and product launches, assessing their impact on key growth metrics to guide product iteration.
- Develop and refine user segmentation models based on behavior, lifecycle stage, and business value.
- Identify and profile key user cohorts such as high-value users and at-risk churn users, uncovering their characteristics and needs.
- Partner closely with operations, marketing, and product teams to provide data support and strategic input for initiatives like user segmentation and pricing.
- Measure and optimize the effectiveness of user-focused operational strategies.
Other
- 3+ years of experience in data analysis, business analysis, or growth analysis within internet-based industries.
- Experience with SaaS, productivity, or content creation products preferred.
- Excellent logical thinking, business acumen, and communication skills; able to clearly present complex analytical findings to non-technical stakeholders.
- Basic understanding of machine learning; experience in building user segmentation, LTV prediction, or churn-forecasting models.
- Strong interest or background in AIGC, 3D graphics, or digital content creation.
