-
View all jobs
🚀 Welcome to Your Next Adventure!
In this position, you will be working and collaborating with data scientists, backend engineers, researchers, product engineers and business teams in a cross-functional setting. Your core functions as a Senior Data Analyst are to interpret complex data, provide actionable insights to drive business decisions. Responsibilities include data collection, statistical analysis, and reporting, ensuring data integrity, and developing data-driven strategies
🛠 What You’ll Get Your Hands On
Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
The Dream We’re Chasing
To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.
The Quest We’re On
To radically transform how people live by leveraging technology to connect them with endless possibilities.
Our Everyday Superpowers
👥 Be Customer Obsessed: “Focus on the customer and all else will follow.”
💪 Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”
🧪 Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”
🏅Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”
🚀 Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”
👨💼 It's All About People: “Be a team player; together we are stronger.”
Perks & Worklife Magic At Snoonu
🌐 Global Vibes – Collaborate with a worldwide crew.
🧠 Brain Boosters – Learning budgets, access to courses, and tools for your growth.
🚒 Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.
🏝️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.
🛠️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.
Great Place to Work® Certified
We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.
Certified for Excellence
Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.
Beyond the Code: Giving Back Matters
We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.
Diversity Isn’t Just a Buzzword
At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
Let’s Build the Future Together
Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.
Stay in the loop—connect with us on LinkedIn!
In this position, you will be working and collaborating with data scientists, backend engineers, researchers, product engineers and business teams in a cross-functional setting. Your core functions as a Senior Data Analyst are to interpret complex data, provide actionable insights to drive business decisions. Responsibilities include data collection, statistical analysis, and reporting, ensuring data integrity, and developing data-driven strategies
🛠 What You’ll Get Your Hands On
- Collaborate with a cross-functional team of engineers, data scientists, business teams and product managers to implement technical solutions that meet business needs and ensure robustness, scalability, and reliability.
- Analyze and interpret complex data sets using statistical techniques and provide stakeholder insights.
- Design and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
- Develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
- Identify trends and patterns in complex data sets and provide actionable recommendations to stakeholders.
- Create and maintain dashboards and visualizations for data-driven decision-making.
- Work closely with cross-functional teams to identify and solve complex business problems using data analysis.
- Participate in technical interviews to evaluate candidates' technical skills.
- Stay up-to-date with the latest industry trends and advancements in predictive analytics, ensuring our capabilities remain competitive and cutting-edge.
- Point out areas of opportunity and guide teams in designing complex features. Mentor junior analysts and foster a collaborative development environment
- A bachelor's or master's degree in a related field, such as data science, computer science, statistics, or mathematics.
- At least 5 years of experience in product analysis and manipulation, preferably in a senior or lead role.
- Strong proficiency in SQL, Python, and/or R, as well as experience with data visualization tools such as Tableau or Power BI.
- Excellent analytical and problem-solving skills, with the ability to extract insights from complex and large data sets.
- Effective communication skills, with the ability to clearly explain insights and recommendations to non-technical stakeholders.
- Strong attention to detail and accuracy, with the ability to identify and correct errors in data.
- Demonstrated ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment.
- Excellent problem-solving skills and ability to work independently, as well as in a team-oriented, collaborative environment.
- Strong communication and collaboration skills, with the ability to work effectively within a diverse, cross-functional team.
- Demonstrated Causal analytics skills or full understanding of causality
- Good set of Data engineering skills or familiarity with data processing pipelines.
- Proven experience in food or parcel delivery services.
- Experience with modeling, analyzing, and explaining unit economics at the transaction level, and aggregate it reliably across time, cohorts, and dimensions.
- Familiarity with machine learning algorithms and techniques, and experience in implementing predictive models.
Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
The Dream We’re Chasing
To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.
The Quest We’re On
To radically transform how people live by leveraging technology to connect them with endless possibilities.
Our Everyday Superpowers
👥 Be Customer Obsessed: “Focus on the customer and all else will follow.”
💪 Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”
🧪 Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”
🏅Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”
🚀 Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”
👨💼 It's All About People: “Be a team player; together we are stronger.”
Perks & Worklife Magic At Snoonu
🌐 Global Vibes – Collaborate with a worldwide crew.
🧠 Brain Boosters – Learning budgets, access to courses, and tools for your growth.
🚒 Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.
🏝️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.
🛠️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.
Great Place to Work® Certified
We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.
Certified for Excellence
Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.
Beyond the Code: Giving Back Matters
We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.
Diversity Isn’t Just a Buzzword
At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
Let’s Build the Future Together
Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.
Stay in the loop—connect with us on LinkedIn!
Key Skills
Ranked by relevance
data visualization
machine learning
tableau
python
scrum
spark
sql
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
AI Fullstack Engineer
2026-04-11
Full-time
Not Applicable
Argentina
Technology
Engineering
View Job Details
Related
AI Security Engineer
2026-04-08
Full-time
Mid-Senior
Qatar
Technology
Information Technology
View Job Details
Related
Machine Learning Engineer (Remote)
2026-04-10
Full-time
Not Applicable
United Kingdom
Technology
Engineering
Login to Apply
- Posted
- Apr 08, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Lusail
- Company
- Snoonu
Industries
Technology
Information
Internet
Categories
Engineering
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
AI Fullstack Engineer
2026-04-11
Full-time
Not Applicable
Argentina
Technology
Engineering
View Job Details
Related
AI Security Engineer
2026-04-08
Full-time
Mid-Senior
Qatar
Technology
Information Technology
View Job Details
Related
Machine Learning Engineer (Remote)
2026-04-10
Full-time
Not Applicable
United Kingdom
Technology
Engineering