About the opportunity
Performance Reporting and Analysis
• Help in optimizing our performance reporting structure and repeatable process.
• Optimize our KPI dashboard with continuous flow of data.
• Identify and highlight opportunities for performance improvement.
• Develop reporting material in a succinct, visual manner.
Analytical support for various forums
• Support internal stalk-holders with ad hoc requests, both from within the team and Externally from multiple data sources.
• Get hands dirty with the data extraction from multiple sources big data sources like AWS Redshift, Big Query, etc.
• Support with building business cases based on available data to forecast and simulate future growth plans.
• Deliver unbiased insights to improve customer service and logistics performance.
Building a performance focused culture
• Develop a deep familiarity of the source data and it's generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
• Contribute heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for different areas of business
Propose product enhancements to improve experience
• Contribute to improving our ways of work, our tooling, and our internal reporting structure.
What you need to be successful
• 2 to 4 years of working experience in same/similar field.
• Comfortable working with Python for various data analytics and machine learning purposes
• Excellent skills in SQL. Previous experience with Big Query is a plus.
• Hands-on experience working with Tableau. Knowledge of Excel and/or Looker is a good plus.
• Have good understanding of different types of analytics: Descriptive, Diagnostic, Predictive and Perspective.
• Previous work experience in a technical / data-driven environment is essential.
• Very good analytical skills.
• Excellent communicator and collaborator at all levels.
• Back up your opinions with data and clear well-structured cases.
• You are execution focused and have a proven record of success in complex environments.
• Results-driven, high-performing, high-quality work attitude.
• Excellent understanding of Data Warehousing, data modelling and wider engineering practices.
• Familiarity with working alongside with the Product, Infrastructure, Data Science and engineering teams and similar projects.
• Able to proactively analyze big data to discover trends, patterns, and actionable insights.
• Curiosity and willingness to learn about the intersection of business strategy and data technologies.
• Ability to learn quickly, prioritize tasks and perform under pressure.
• Have a high threshold for ambiguity and maintain professional demeanor.
• Passionate about the food industry.
• Excited by the thought of joining our team.
• Believe that you are a fit for our culture and our values. Experience First, Make it Happen & Together we grow
Who we are
talabat is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
