Data Analyst

Company Description

Digital TEN X is a dynamic technology company specializing in AI development, UI/UX design, web development, and e-commerce solutions for startups and enterprises worldwide. Based in Doha, plus partnerships in Canada and the UAE, the company combines global expertise with a focused, small-team approach. Digital TEN X leverages cutting-edge AI tools and frameworks, along with modern web technologies and certified Shopify Plus capabilities, to build high-performing digital products. From its Islamabad hub, the company offers 24/7 support, maintains a 95% client retention rate, and delivers measurable efficiency gains through AI-driven solutions. Team members join a collaborative environment that emphasizes innovation, user-centric design, and continuous improvement.

Role Description

The Data Analyst role at Digital TEN X is a full-time, on-site position based in Doha. In this role, the Data Analyst will collect, clean, and organize data from various sources, ensuring data quality and integrity for analytics and reporting. The Data Analyst will perform exploratory and statistical analyses, build dashboards and reports, and translate findings into actionable insights for product, design, engineering, and business stakeholders. Day-to-day tasks include developing and maintaining data models, tracking key performance indicators, supporting AI and product teams with ad hoc analyses, and preparing clear visualizations and summaries for internal and external use. The Data Analyst will collaborate closely with cross-functional teams, contribute to data-driven decision-making, and help optimize digital products and business operations.

Qualifications

• Strong Analytical Skills and Data Analytics capabilities to interpret complex datasets and derive meaningful insights.

• Proficiency in Statistics and Data Modeling to design experiments, build models, and validate findings.

• Effective Communication skills to explain data-driven conclusions to technical and non-technical stakeholders.

• Experience with data tools such as SQL, Excel, and one or more BI platforms (e.g., Power BI, Tableau, Looker).

• Familiarity with programming languages used for analysis (e.g., Python or R) and basic knowledge of data visualization best practices.

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).

• Ability to work collaboratively in cross-functional teams and manage multiple projects with attention to detail and deadlines.

• Experience in tech, AI-driven products, or e-commerce analytics is a plus.