BI Analytics Engineer at takealot.com

Your mission, should you choose to accept it:

• Work closely with stakeholders and BI Analysts to turn data into critical information and knowledge that can be used to make sound business decisions.
• Responsible for the full life-cycle development, implementation, production support, and performance tuning of the Enterprise Data Warehouse, Data Marts, and Business Intelligence Reporting environments.
• Design and implement reporting and analytical solutions.
• Analyses business and functional requirements and translates these requirements into robust, scalable, operable solutions.
• Help to migrate the old QlikView and QlikSense models to our new Event-Driven Kappa architecture built on BigQuery, DataForm and Looker.
• Ensuring that the data pipelines and general support infrastructure continue to run and operate in the most efficient manner.
• Provide operational support, bug fixes, and performance enhancements.
• Automating data extraction and report update processes.
• Data validation and integrity testing.
• Data cleansing and multidimensional data modelling.
• Optimisation of data models.

The skills we need:

• Solutions-oriented, can-do attitude and high energy
• Excellent problem-solving skills
• Proven track record of delivering high-quality work, in a fast-paced environment
• Focus on getting the job done, but have fun doing so
• Taking ownership and displaying accountability in the work required of you
• Have an interest in e-commerce, building a brand and business
• Customer-centric

Qualifications & Experience:

• Bachelor’s degree in a relevant Engineering, Computer Science or Mathematics field or equivalent experience
• 4 - 6 years related experience
• 1 - 2 years of Python coding experience
• Minimum 2 years’ experience using a BI reporting tool (e.g. QlikView, Tableau, Microsoft Power BI, Looker, etc.)
• Minimum 2 years SQL experience
• A thorough understanding of computer science fundamentals, including object-oriented design, data structures and algorithms
• A solid understanding of computer science fundamentals, including Linux and operating systems, networking
• Experience using Looker, BigQuery and Dataform is advantageous
• OLAP and multidimensional cube design experience
• Have experience with Build Systems (Jenkins, Gitlab, Spinnaker)
• Have experience with Google Cloud, or another cloud provider (architecture, operations)
• High proficiency in working with large data sets and business models
• Experience with Domain Driven Design (DDD) is advantageous
• Experience working in Scrum and Sprint Agile methodologies is advantageous
• Retail or e-commerce industry experience beneficial