Analyst, Product - Remote

Welcome to the world of Mrsool! 🌍✨ Where on-demand delivery meets unparalleled user needs to deliver anything you desire. As one of the largest delivery platforms in the Middle East and North Africa (MENA) region, Mrsool has captivated users with its unique and seamless experience, earning it the highest ratings among all major delivery platforms on both Apple's App Store and Google's Play Store. 🌟📲

What sets Mrsool apart is its commitment to providing an unmatched "order anything from anywhere" experience. 🌐📦 This extraordinary feat is made possible by our extensive fleet of dedicated on-demand couriers. With their unwavering dedication, they ensure that your desired items reach your doorstep, no matter where you are. 🚗🛵

Whether it's a late-night craving, a forgotten item, or a special gift for a loved one, Mrsool is here to deliver, quite literally. 😋🎁 We take pride in the convenience we offer, empowering you to get what you need when you need it, all at the tap of a button. 💪💫

The Job in a Nutshell💡

We are seeking for a Product Analyst to elevate decision-making across our product and business teams with insightful, reliable, and actionable data.

In this role, you will manage a specific domain within our product and business areas, working closely with product and business managers as part of a dynamic team of Product Managers, UX Designers, Developers and Data Scientists. You’ll handle every aspect of the data value chain—from logging and modeling to analysis, reporting, and experimentation.

If you're excited about using data to drive meaningful product and business outcomes and are eager to take on this rewarding opportunity, we’d love to hear from you. Apply today!

What You Will Do💡

• Transforming complex business challenges into opportunities by applying objective, data-driven criteria.
• Gaining a thorough understanding of product experiences and business processes within your focus area.
• Becoming well-versed in the source data and its systems through comprehensive documentation, collaboration with engineering teams, and systematic data profiling.
• Playing a key role in designing and maintaining data models that help measure performance and identify key drivers within your domain.
• Partnering closely with product and business teams to pinpoint critical questions that can be addressed using data insights.
• Providing actionable, relevant, and reliable insights through detailed analysis and automated reporting to drive informed decision-making.
• Designing and analyzing experiments, including A/B and multivariate tests, to optimize strategies.
• Assisting product and business managers with KPI development and goal-setting to align with overall objectives.
• Supporting product and business managers with KPI design and goal setting.

• Experience: 3+ years in quantitative analysis, solving problems using data, and providing business insights.
• Technical Skills: Expert in SQL and BigQuery, with strong proficiency in Firebase Analytics, Google Data Studio, and Python or R for reproducible data analysis. Familiarity with data modeling, dimensional design, and visualization tools such as Tableau or Looker.
• Project Management: Proven ability to initiate and drive projects to completion across multiple teams with minimal guidance.
• Communication: Strong interpersonal skills with the ability to communicate technical content and analytical insights clearly to diverse audiences. Ability to craft compelling data-driven stories.
• Statistical Knowledge: Solid understanding of statistics, including experimental design, hypothesis testing, and various analysis types (descriptive, exploratory, and predictive).
• Data Analysis Lifecycle: Command over the entire data analysis process including problem formulation, data auditing, analysis, interpretation, recommendations, and presentation.
• Product Data: Familiarity with product data metrics (impressions, events) and product health measurements (conversion, engagement, retention).
• Education: BSc or MSc degree (or equivalent).

Who Will Excel❓

• Certification in Data Science or a related field, which demonstrates a formal understanding of data science principles and practices.
• Experience in B2C environments, which shows familiarity with consumer-focused data analysis and insights.

Note: The role will be Remote.

• We foster an inclusive and diverse environment that values innovation and offers flexibility, whether you prefer remote, in-office, or hybrid work arrangements.
• Our compensation packages are competitive, featuring potential share options.
• We are committed to your personal growth, providing regular training and an annual learning stipend to help you advance your career in a fast-paced, dynamic environment.
• You'll benefit from autonomy, mentorship, and ambitious goals that pave the way for both your success and the company's growth.