Data Analyst- Careem Bus
Careem -
Cairo, EgyptPosted 5 years ago142People have clicked1 open position
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Job Description
Careem Bus is looking for a Rockstar Data Analyst! You will work closely with product and engineering teams to define and tackle open-ended problems. In the process, you will:
- Embark & Lead on exploratory data analysis projects to achieve better understanding of phenomena as well as to discover untapped areas of growth and optimization.
- Lead the definition and track the appropriate key metrics for specific projects.
- Help design A/B and Multivariate tests and their reporting tools for product teams
- Collaborate with engineers to build prototype predictive models into production and re-iterate as needed.
Key responsibilities
- Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
- Design Real time / Streaming jobs for analytics / production purposes
- Build data-driven services and solutions that empowers Careem different products either by working directly on them or by improving our large scale data infrastructure.
- Transform raw data from different sources and using different big data tools into meaningful insights
- You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
- As we progress; Design, implement and support ETLs/ELTs to process terabytes of data each week.
Job Requirements
- Educated to BS Level (or equivalent) within a subject relevant to the position such as Computer science or Engineering with 2 to 3 years of experience
- Demonstrated experience working in an analytical role
- Demonstrated experience with business intelligence and visualization tools creating management dashboards
- Good analytical skills and a passion to work with large sets of data
- Fluency in English along with excellent oral and written communication skills.
- Proficiency and demonstrated experience in at least 2 of the following: SQL, R, Python, Spark, Hive, RapidMiner.
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