If fashion is your passion, here is your opportunity to be working with the coolest digital ecommerce team in the Middle East, serving all your fashion needs in one place!

Ounass is your one stop destination for all things luxury making it The Definitive Home of Luxury. It’s our homegrown, local, e-commerce platform catering to the Middle Eastern customers across a realm of axes such as - Fashion consisting of Womenswear, Menswear & Kidswear, Beauty, Watches, Home & Jewelry.

At Ounass, we strongly believe that our culture is what brings us together and helps us succeed. We strive to be the leading luxury technology platform in the Middle East region, making sure we’re the first choice for our customers. We’re highly customer focus driven, ensuring that both our customers and employees are the core of the business. We’re recognized for our incredibly fast 2 hours delivery services within Dubai, while also providing a fabulous and dedicated Personal Shopping service for our VIP clientele. We fall under the umbrella of a distinguished Al Tayer Group and are based in the ever happening and multi-cultural city of Dubai, United Arab Emirates. We currently are a growing family of 500 employees spread across the globe – UAE, United Kingdom, Turkey, Portugal, Ukraine and Sri Lanka. Ounass focuses and emphasizes on having a highly diverse and inclusive team consisting of 53 different nationalities, ensuring a strong cultural foothold. Our young, vibrant and growing team of 500 is extremely ambitious and is constantly innovating while growing the brand name and position together as a team.

The Growth Analyst will be part of the Growth team, reporting to the Growth Hacker, and will support the execution of personalization initiatives. The role focuses on hands-on delivery, combining structured execution with independent data exploration to drive measurable improvements in customer experience and business performance.

What you will be doing? 

• Execute analytics, experimentation, and personalization initiatives, under guidance from senior team members.

• Build deep-dive analyses on customer behavior, funnels, segments, and personalization performance to support product and algorithm decisions.

• Design, run, and analyze A/B tests, ensuring results are statistically sound and clearly interpreted.

• Produce clear analysis outputs (tables, dashboards, documentation) that support decision-making and rollout readiness.

• Proactively explore data to identify new personalization, ranking, or targeting opportunities beyond the existing roadmap.

• Test new ideas through exploratory analysis, lightweight models, heuristics, or offline evaluations before escalation.

• Partner with senior team members to validate promising ideas and turn them into experiments or product initiatives.

• Support the development, evaluation, and iteration of personalization algorithms and models in collaboration with senior Growth team members, Data Science, Tech/MLOps teams – and work independently when needed.

• Contribute to feature analysis, model evaluation, monitoring, and post-launch performance reviews.

• Develop, validate, and iterate on machine learning models for personalization (e.g., recommenders, ranking, propensity models, segmentation).

• Work towards the full ownership of the model lifecycle: feature design, training pipelines, evaluation, deployment, and ongoing monitoring.

• Build analytical or prototype implementations to validate algorithmic ideas prior to productionization.

• Support other Growth team members with ad-hoc analyses, experiment read-outs, and investigative deep dives.

• Act as a reliable execution partner who helps move ideas from concept to validated outcome.

• Write clear product requirements documents (PRDs) and technical specifications for personalization products and experimentation.

• Partner closely with Engineering, Data Science, and Product teams through development, QA/testing, rollout, and post-launch iteration.

• Communicate insights, results, and recommendations clearly to stakeholders.

What are we looking for? 

• 3+ years in an analytical position

• Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable recommendations.

• Comfortable working with ambiguity, incomplete data, and evolving problem statements, while maintaining analytical rigor.

• Strong experience in data analysis and visualization, including advanced SQL, Tableau, and analytical reporting/dashboarding.

• Proficient in SQL and Python, with the ability to build analytical pipelines and develop machine learning models (end-to-end preferred).

• Hands-on experience with cloud environments (AWS preferred) for data workflows, model deployment, and production monitoring.

• Strong written and verbal communication skills, able to present technical insights clearly to both technical and non-technical stakeholders.

What We Offer:

• Be part of a fast-growing luxury e-commerce leader in the Middle East.

• Work in a highly collaborative, data-driven environment.

• Opportunities for growth and career development in digital analytics and business intelligence.