Sr. Data Analyst - Tech

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.

We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.

Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.

Job Description

Role Summary

As a data analyst on the analysis track, your mission will be to improve the quality of the decisions made across product and business (especially within the Marketing domain) via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data partitioners. You will own the entire data value chain including logging, data modeling, analysis, reporting, and experimentation.

What’s On Your Plate?

• Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
• Developing a deep understanding of the product experiences and business processes that make up your area of focus.
• Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
• Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
• Working closely with product and business teams to identify important questions that can be answered effectively with data.
• Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision making through deep analysis and automated reports.
• Supporting product and business managers with KPI design and goal setting.
• Collaborate with business teams to shape and drive strategic initiatives by delivering data-driven insights and actionable recommendations.
• Contributing to improving our ways of work, our tooling, and our internal training programs.
  
  

Qualifications

What Did We Order?

Technical Experience

• Excellent SQL.
• Competence with reproducible data analysis using Python or R.
• Familiarity with data modeling and dimensional design.
• Strong command over the entire data analysis lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
• Familiarity with different types of analysis including; descriptive, exploratory, inferential, and predictive analysis.
• Deep understanding of the various biases w.r.t data while conducting an analysis
• Deep understanding of segmentation techniques, customer lifetime value and experimentation, especially w.r.t Incentives and other growth levers..
• Familiarity with BigQuery and the Google Cloud Platform.
• Familiarity with Causal inference techniques is a plus
• Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.
  
  

Qualifications

• Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
• 5+ years of overall experience working in data analysis.
• Experience doing data analysis in an online consumer product setting is a plus.
• A good problem solver with a ‘figure it out’ growth mindset.
• An excellent collaborator.
• An excellent communicator.
• Excellent presentation skills
• A strong sense of ownership and accountability.
• A ‘keep it simple’ approach to #makeithappen.