ജോലി വിവരണം

Role overview

This opportunity is being presented on behalf of a partner organization that oversees the application process and all follow-up steps. The partner company is hiring a Product Analyst in the United Arab Emirates.

The position is central to product decision-making, using customer behavior and platform data to generate insights that shape product direction and roadmap priorities.

You will examine how users engage with a complex SaaS product, spot adoption trends, identify points of friction, and surface retention signals that help guide product evolution.

Working in close partnership with Product leadership and other teams, you will help ensure decisions are guided by evidence rather than assumptions.

The role operates in a fast-paced, highly analytical setting with regular interaction with senior stakeholders and product strategy conversations.

You will contribute to building stronger product intelligence across the business and improving clarity around what creates user value.

This role suits someone who enjoys deep analytical problem-solving while making a direct impact on product outcomes and business performance.

It is a collaborative environment where insights are expected to lead to tangible product improvements.

Key accountabilities

Take ownership of product-wide user behavior analysis, including customer journeys, engagement trends, session depth, and usage frequency across segments.
Track feature usage, adoption performance, and experiment outcomes to understand what increases or reduces product value.
Perform cohort, funnel, retention, and expansion analyses to reveal behavioral patterns and forecast lifecycle outcomes.
Spot drop-offs, friction areas, and weak-performing parts of the product, then convert findings into clear, practical recommendations.
Set up, monitor, and preserve core product KPIs while keeping reporting accurate, consistent, and dependable.
Support Product leadership with ongoing analysis that informs roadmap choices and helps flag product health risks early.

Requirements

At least 3 to 6+ years of experience in product analytics, SaaS analytics, or a data-led product environment.
Advanced working knowledge of SQL, data modeling, and analytics tools, along with experience handling large datasets.
Strong practical background in cohort analysis, funnel analysis, retention modeling, and behavioral data interpretation.
Demonstrated ability to turn complex data into clear, executive-ready insights that affect product direction.
Experience collaborating with Product Managers and cross-functional teams in fast-growing organizations.
Strong numerical reasoning, structured problem-solving, and the ability to work with incomplete or changing information.
Comfort operating in fast-moving, product-led companies where analysis directly influences execution.

Benefits

Competitive pay aligned with experience and prevailing market standards
100% remote setup with opportunities to collaborate globally
Flexible work arrangements that support balance between work and personal life
Direct exposure to senior product leadership and participation in roadmap decisions
Opportunity to work on large-scale SaaS product analytics and strategic decisions
Fast-moving, growth-oriented environment focused on data-led innovation

Additional information

This role includes an AI-supported matching and review process to help applications be assessed quickly, objectively, and fairly against the key requirements. The system identifies strong-fit candidates, and that shortlist is then passed to the hiring organization. Final decisions and next steps, including interviews and assessments, are handled by the employer’s internal team.

By applying, candidates acknowledge that personal data may be processed to evaluate candidacy and share relevant details with the hiring employer under applicable data protection laws, including GDPR where relevant. Applicants may exercise rights such as access, correction, deletion, and objection.

Artificial intelligence tools may also assist in parts of the recruitment process, including application review, resume analysis, response evaluation, and identifying possible inconsistencies or verification indicators in submitted materials. These tools support the recruitment team but do not replace human judgment, and final hiring decisions are made by people.

Product Analyst