Lead - Product Growth & Analytics

We're reimagining the way people connect with financial products - making them not just useful, but meaningful. As Growth Analytics Lead, you own the analytical intelligence layer of the growth team. You don't produce reports for others to act on - you carry the numbers yourself, draw the conclusions yourself, and move first. In an era where AI can compress days of analysis into hours, this role exists to ensure our growth decisions are faster, sharper, and structurally better than the competition.

Mô tả công việc

Frontline analytics ownership 

• Own the data layer end-to-end for your product scope - not as a support function, but as a KPI owner who directly reads, interprets, and acts on data. 
• Query and analyze data directly via available tooling (SQL, BI dashboards, MoMo Data MCP) without dependency on a separate DA or CDO team. 
• Translate raw behavioral data - funnels, cohorts, retention curves, engagement signals - into concrete growth hypotheses and action plans. 
• Maintain weekly performance visibility: actual vs. plan, variance analysis, proactive escalation on deviations. 

AI-powered growth analysis 

• Leverage Claude (connected to MoMo Data MCP) as a core work tool - not as a novelty but as a capability multiplier to run analyses, test hypotheses, and generate insights at scale. 
• Develop and standardize AI-assisted analytical workflows for the growth team - making the team faster and less dependent on external data support. 
• Support the Growth Lead Manager in building the team's overall data fluency and tooling adoption. 
• Stay current on analytical capabilities of AI tooling and proactively identify new methods applicable to growth problems. 

Growth strategy & experimentation 

• Lead deep-dive analyses to identify the highest-impact growth levers by segment, lifecycle stage, and use case. 
• Design and evaluate experiments (A/B tests, pilots, phased rollouts) with documented hypotheses, success metrics, and minimum detectable effects. 
• Ensure learnings are documented and fed back into strategy and roadmap - experiments that don't compound into decisions are wasted. 
• Build prioritization frameworks (impact vs. effort, ROI, segment value) to guide product and GTM sequencing. 

Cross-functional alignment 

• Act as the data-credible voice in cross-functional conversations with Product, Finance, and Marketing - proposals backed by evidence, not opinion. 
• Partner with BI and Data teams where needed, but be capable of operating fully independently. 
• Help the growth team speak a unified metrics language - from daily standups to quarterly OKR reviews. 

What you will impact 

• Faster decisions: analyses completed in hours, not weeks via AI-augmented workflows. 
• DA independence: growth team owns its own data layer without bottlenecks from central teams. 
• Evidence-based growth: every major bet backed by a documented hypothesis and result. 
• Team capability uplift: AI fluency and analytical standards spread across the team over time.

Yêu cầu công việc

Must-have 

• Proven hands-on analytics capability: SQL proficiency, comfort with cohort/funnel/retention analysis, ability to operate independently without DA support. 
• Frontline KPI ownership mindset - experience in roles where you carried a number (growth team, BA, marketplace operations, or equivalent) and were accountable for moving it. 
• AI-fluent: actively uses LLM tools (ChatGPT, Claude, Gemini, Copilot, or similar) as part of daily work - not just familiar, but practiced. 
• Strong growth intuition: understands product funnels, lifecycle metrics, and the logic of compounding vs. one-time growth levers. 
• Structured communicator: can move from data to insight to recommendation in one clear narrative, without being handed a template. 

Nice-to-have 

• Experience in fintech, consumer super-app, or platform ecosystems. 
• Hands-on experience building or prompting AI analytical workflows (agent pipelines, automated reporting via LLMs, MCP tooling). 
• Familiarity with experimentation frameworks and A/B test design. 
• Background in growth marketing, product analytics, or management consulting with a quantitative focus.