ജോലി വിവരണം

Role overview

This opportunity is for a Product Analyst in Saudi Arabia, supporting a partner employer that handles the hiring process and all follow-up steps. The role is centered on converting customer behavior and platform data into practical insights that shape product strategy and roadmap choices.

You will study how people use a complex SaaS platform, with a focus on adoption trends, points of friction, and retention indicators that help steer product improvements. The position requires close partnership with Product leadership and other teams so that decisions are driven by evidence rather than guesswork.

The work environment is analytical and fast-paced, with frequent interaction with senior stakeholders and involvement in product strategy discussions. You will contribute to building stronger product intelligence capabilities and improving the organization’s understanding of what creates user value.

This role suits someone who enjoys deep analytical work while also influencing product direction and business results. It offers a collaborative setting where findings are expected to turn into concrete product changes.

Key accountabilities

Take ownership of product-wide user behavior analysis, covering journeys, engagement patterns, session depth, and usage frequency across different customer groups.
Track feature uptake, adoption levels, and experiment outcomes to understand what increases or reduces product value.
Run cohort, funnel, retention, and expansion analyses to surface behavioral patterns and forecast lifecycle outcomes.
Spot friction, drop-offs, and weaker-performing areas, then turn those findings into clear, practical recommendations.
Set, monitor, and maintain core product KPIs while keeping reporting accurate, consistent, and dependable.
Provide continuous analytical support to Product leadership, helping guide roadmap decisions and identify early signs of product health risk.

Requirements

At least 3-6+ years of experience in product analytics, SaaS analytics, or data-oriented product settings.
Strong working knowledge of SQL, data modeling, and analytics tools, plus practical experience handling large datasets.
Hands-on experience with cohort analysis, funnel analysis, retention modeling, and interpretation of behavioral data.
Ability to turn complex data into concise, executive-ready insights that shape product decisions.
Experience collaborating with Product Managers and cross-functional teams in growth-focused environments.
Strong numerical reasoning, structured problem-solving, and comfort working with incomplete or changing data.
Ease working in fast-moving, product-led organizations where analysis directly affects execution.

Benefits and working conditions

Compensation aligned with experience and market standards.
Fully remote working arrangement with collaboration across global teams.
Flexible work setup designed to support work-life balance.
Chance to work closely with senior product leaders and help shape roadmap priorities.
Exposure to large-scale SaaS analytics and strategic decision-making.
Fast-growing, dynamic environment focused on data-led innovation.

Application and privacy information

This role is advertised through a partner company, and that partner manages applications as well as the subsequent hiring stages. Applications are reviewed through an AI-supported matching process intended to assess candidates against the core requirements in a fair and efficient way, after which the strongest matches are forwarded to the hiring company. Final hiring decisions, including interviews and assessments, are handled by the employer’s internal team.

By applying, you acknowledge that your personal data may be processed to evaluate your candidacy and shared with the hiring employer where relevant. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws, including GDPR. You may request access, correction, deletion, or objection to processing at any time.

AI tools may also assist with parts of the hiring workflow, such as reviewing applications, analyzing resumes, and checking responses for inconsistencies or verification signals. These tools support the recruitment team and do not replace human judgment. Final hiring decisions remain with people.

Product Analyst