Product Data Analyst

ITCAN TECHNOLOGY and DIGITAL MARKETING; Dubai; On-site; AED 320,000 - 520,000; Full time

Job summary

MoonTech is an AI-first, agentic workflow company transforming influencer performance marketing. This role focuses on building a strong data foundation, instrumenting a live infrastructure, and using AI tools to accelerate analysis.

You will translate event data and campaign performance into decisions for product and leadership, driving revenue and retention. We seek a senior analyst with 5+ years in product analytics, strong SQL/Python, and experience in a marketplace or growth-stage

Qualifications

• 5+ years in product analytics or data analysis at a marketplace, e-commerce, or performance-marketing company.
• Define, track, and report north-star and funnel metrics for brands and creators, including signup, activation, early campaign performance, retention, and payouts.
• Own north-star/funnel metrics for two-sided or marketplace products.
• Partner with PMs to define event tracking specs during feature planning, not after launch.
• Work with data/engineering on ongoing data infrastructure modernization.
• Validate data quality, flag gaps, and contribute to schema decisions.
• Build dashboards so PMs, leadership, and investors can access insights without ad hoc requests.

Responsibilities

• Partner with PMs and engineers on instrumentation and event-tracking plans.
• Turn event data and campaign performance into actionable product decisions.
• Maintain dashboards for leadership, PMs, and investors to monitor KPIs.
• Design A/B tests, size samples, and document results clearly.
• Advise on data architecture and taxonomy during modernization efforts.

Skills

SQL

Python (pandas)

Data analysis

Dashboarding

Event tracking

AI tooling

A/B testing

Communication

Tools

BI tools

CDP

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.

This 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.