Product Data Analyst

Moon Tech Ltd.; Dubai; On-site; AED 400,000 - 640,000; Full time

Job summary

MoonTech Ltd. is seeking a senior product analytics professional to operate inside a live infrastructure buildout, shaping the data foundation and using AI tools to accelerate work.

You will define and own north-star and funnel metrics for brands and creators, build dashboards, and turn event data into actionable recommendations for product and leadership. Collaborate with PMs and engineers on instrumentation, validate data quality, and bring UAE/GCC context to reports.

Qualifications

• 5+ years in product analytics or data analysis at a marketplace, e-commerce, or performance-marketing firm.
• Define, track and report north-star and funnel metrics for brands and creators.
• Own north-star, funnel or retention metrics for a two-sided marketplace product.
• Partner with PMs to define event tracking specs as part of feature planning.
• Collaborate with PMs and engineers on instrumentation, not just consume data.
• Work with data and engineering on ongoing data infrastructure modernization.
• Validate data quality, flag gaps, and assist with schema/taxonomy decisions.
• Comfortable with imperfect data and evolving schemas during modernization.
• Build and maintain dashboards for PMs, leadership, and investors.
• Hands-on experience with a customer data platform or event-tracking pipeline.
• Fluent in SQL and comfortable with Python (pandas) for dashboard gaps.
• Use LLM-assisted SQL/Python, natural-language querying, and AI-driven pipelines.
• AI-native in practice; use LLMs/agents to write queries, summarize data, and automate reporting.
• Tie product and campaign changes to revenue, retention, and unit economics.
• Assist in designing AB tests, sizing samples, and logging experiments.
• Bring UAE/GCC context into funnel and campaign data interpretations.
• Contribute clean numbers to board/investor updates.
• Support data literacy across the PM team and analytics discipline.
• Strong written and verbal communication with clear recommendations.

Responsibilities

• Define north-star and funnel metrics for brands and creators and track activation, retention, and payouts.
• Own dashboards and reporting cadence; deliver actionable insights for product and leadership.
• Partner with PMs/engineers on instrumentation and event-tracking specs for features.
• Collaborate on data infrastructure modernization and schema decisions.
• Validate data quality, flag gaps, and ensure defensible numbers for updates.
• Build AI-enabled analytics pipelines and repeatable reporting processes.
• Contextualize funnel data with UAE/GCC market nuances and revenue impact.

Skills

SQL

Python (pandas)

BI / dashboards

event tracking

data analysis

LLM analytics

A/B testing

stakeholder comms

data infrastructure

product analytics

Job description

MoonTech is an AI-first, agentic workflow company transforming influencer performance marketing through autonomous AI agents. Our platform automates the entire campaign lifecycle, enabling brands to launch, manage, optimize, and scale creator campaigns with guaranteed conversions and measurable ROI. Powered by proprietary ground truth data, MoonTech is pioneering the category of conversion intelligence for the creator economy.

This is not a role for someone who wants a clean warehouse and a BI tool waiting for them.

It is a role for a senior analyst who can operate inside a live infrastructure buildout, help get the data foundation right, and use AI tools to work faster than a traditional analyst stack allows.

This person turns event data, campaign performance, and growth metrics into decisions the product and leadership team can act on immediately.

Requirements

• 5+ years in product analytics or data analysis, ideally at a marketplace, e-commerce, or performance-marketing company. Growth-stage startup experience is a strong plus.

• Define, track, and report north-star and funnel metrics for both brands and creators, including signup, activation, early campaign performance, retention, and payouts.

• A track record owning north-star and funnel or retention metrics for a two-sided or marketplace product.

• Partner with PMs to define event tracking specs as part of feature planning, not as a follow-up request to engineering after launch.

• Experience partnering directly with PMs and engineers on instrumentation, not just consuming finished data.

• Work directly with the data and engineering team on our ongoing data infrastructure modernization.

• Validate data quality, flag gaps, and act as a product-side partner on schema and taxonomy decisions.

• Comfortable working with imperfect data and evolving schemas. We are mid-modernization, not a mature warehouse environment.

• Build and maintain dashboards so PMs, leadership, and investors can get answers without waiting on ad hoc requests.

• Hands-on experience with a customer data platform or event tracking pipeline and a modern BI or dashboarding tool.

• Fluent in SQL and comfortable in Python, at minimum pandas, for anything a dashboard tool cannot do.

• Use LLM-assisted SQL and Python generation, natural-language querying, and repeatable AI-driven analysis pipelines in place of one-off manual reports.

• AI-native by practice, not just interest. You use LLMs and agents daily to write queries, generate analysis code, summarize data, or automate reporting, and can speak concretely about how that has changed your output, not just that you are interested in AI.

• Tie product and campaign changes to revenue, retention, and unit economics.

• Help design A/B tests, size samples, read out results, and maintain an experiment log.

• Bring UAE and GCC context, including trust, timing, creative refresh, and short attention windows, into how funnel and campaign data gets interpreted.

• Contribute clean, defensible numbers to board and investor updates.

• Support data literacy across the PM team as part of a broader push toward analytics discipline.

• Strong written and verbal communication. You turn analysis into a clear recommendation, not just a chart.

Nice to Have

• Background in influencer, affiliate, or performance-marketing analytics.

• GCC or MENA market experience.

• Experience configuring agentic analytics workflows, beyond prompting a chat interface.

How This Role Fits the Team

You report to the CPO and sit inside the product organization, not a shared analytics function, so your priorities follow the roadmap.

You work closely with the data and engineering team on infrastructure work, and with the PM team on instrumentation and metrics.