Senior - Product Marketing & Growth Specialist

We're reimagining how people connect with financial products — making them not just useful, but meaningful. As Senior Growth Analytics, you are the analytical engine of the growth team. You don't wait for data requests to come to you — you carry a number, own it, and move on it first.This role is for someone who gets uncomfortable when a metric moves without explanation, who treats a missed target as a personal problem to solve, and who sees AI-augmented analysis as the natural way to work — not a bonus capability. In an era where AI compresses days of analysis into hours, you exist to ensure every growth decision we make is faster, sharper, and structurally better than the competition.

Mô tả công việc

Own the Numbers — End-to-End

• Carry KPIs directly. You're not an analytics support function — you're accountable for growth outcomes and the decisions behind them.
• Own the full analytical cycle: from planning targets and designing measurement frameworks to reading the numbers post-execution and deciding what to do next.
• Maintain weekly performance visibility — actual vs. plan, variance analysis, and proactive escalation when something moves. No surprises allowed.
• Translate raw behavioral data — funnels, cohorts, retention curves, engagement signals — into concrete actions, not decks waiting for someone else to prioritize.

Drive Growth with AI-Augmented Analysis

• Use Claude (connected to MoMo Data MCP) as a core daily tool — querying, analyzing, and generating insights at the speed decisions actually need to be made.
• Query and interpret data directly via SQL, BI dashboards, and MoMo Data MCP — no dependency on external DA or CDO teams.
• Develop and refine AI-assisted analytical workflows that raise your own output quality and velocity over time.
• Stay ahead of analytical capabilities in AI tooling and proactively identify methods applicable to growth problems.

Lead Growth Strategy & Experimentation

• Identify the highest-impact growth levers by segment, lifecycle stage, and use case — and take personal ownership of testing and validating them.
• Design and execute experiments (A/B tests, pilots, phased rollouts) with documented hypotheses, success metrics, and minimum detectable effects — then follow through to decisions.
• Ensure every experiment either compounds into strategy or produces a documented learning. Inconclusive experiments are acceptable; undocumented ones are not.
• Build prioritization frameworks (ROI, segment value, impact vs. effort) to guide sequencing with Product and GTM partners.

Be the Data-Credible Voice in the Room

• Represent the growth team in cross-functional conversations with Product, Finance, and Marketing — with proposals backed by evidence, not opinion.
• Help establish a unified metrics language across the team, from daily standups to quarterly OKR reviews.
• Partner with BI and Data teams when needed, but operate fully independently by default.

Yêu cầu công việc

Must-Have

• Proven hands-on analytics capability: SQL proficiency, comfort with cohort/funnel/retention analysis, ability to operate without DA support.
• Direct KPI ownership experience — you've carried a growth number in a previous role and were personally accountable for moving it.
• AI-fluent in daily work: actively uses LLM tools (Claude, ChatGPT, Gemini, or similar) not as a search engine, but as a capability multiplier for analysis and decision-making.
• Strong growth intuition: understands product funnels, lifecycle metrics, and the structural difference between compounding levers and one-time lifts.
• Hungry with numbers: genuinely bothered by unexplained variance, proactively digs without being asked, treats data ambiguity as a problem to resolve — not to note.
• End-to-end execution mindset: comfortable owning a workstream from framing the question through pulling the data, drawing the conclusion, and driving the follow-through.

Nice-to-Have

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