As a Data Analyst on the analysis track at talabat, your mission will be to enhance the decision-making process across product and business, particularly in the Marketing domain, by providing relevant, reliable, and actionable data. You will be responsible for a specific domain across product and business and work closely with product and business managers as part of a talented team of data practitioners. Your role encompasses the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
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Key Responsibilities:
- Leverage ambiguous business problems as opportunities to drive objective criteria using data.
- Develop a deep understanding of product experiences and business processes within your area of focus.
- Gain familiarity with source data and its generating systems through thorough documentation and collaboration with engineering teams.
- Contribute significantly to the design and maintenance of data models to measure performance and understand performance drivers.
- Work closely with product and business teams to identify significant questions that can be addressed with data.
- Deliver actionable insights and recommendations to support data-driven decision making through in-depth analysis and automated reports.
- Design, plan, and analyze experiments (A/B and multivariate tests).
- Support product and business managers with KPI design and goal setting.
- Contribute to improving processes, tools, and internal training programs.
Requirements:
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Technical Experience:
- Excellent SQL skills.
- Proficiency in reproducible data analysis using Python or R.
- Familiarity with data modeling and dimensional design.
- Strong command over the entire data analysis lifecycle.
- Experience with various types of analysis including descriptive, exploratory, inferential, and predictive.
- Knowledge of segmentation techniques and experimentation, particularly relating to marketing strategies.
- Familiarity with digital marketing tools and understanding channel attribution techniques is a plus.
- Data engineering and data pipeline development experience (e.g., via Airflow) is a plus.
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Qualifications:
- Bachelor's degree in engineering, computer science, technology, or related fields (postgraduate degree is a plus).
- 5+ years of experience in data analysis, preferably in an online consumer product setting.
- Excellent problem-solving skills and a growth mindset.
- Strong collaboration and communication abilities.
- Exceptional presentation skills with a sense of ownership and accountability.
Language Requirements: Not specified.
At talabat, we're committed to building a high-performance culture and creating positive experiences for our customers and team members alike. Join us in making a difference!
