Senior Business Intelligence Analyst (Bangkok based, relocation provided)-Johannesburg, Gauteng at Agoda

In This Role, You’ll Get to

• Understand business requirements, analyze large data sets for patterns, visualize results in dashboards and presentations, develop data mart solutions, improve efficiency by automating business processes and become subject matter expert for CEG department
• Support Product Owners across all experimentation stages to assist in the ideation of new product ideas, implement A/B monitoring and define statistical success criteria
• Drive self-service business intelligence by empowering users to adopt existing BI tools (Tableau, Metabase, Superset, ThoughtSpot) by improving the data landscape and educating users
• Become a data business partner for Business and Product stakeholders by guiding them through all data related topics
• Design and build Data Products to automate manual business processes or embed data metrics into business applications to improve user experience and real-time analytics
• More on FE part? Or kinda full stack BI?

What You’ll Need To Succeed

• At least 5 years of experience in Business Intelligence or Analyst related roles
• Strong education background with degrees in Business Administration, Engineering or Information Systems (preferred)
• Strong knowledge of BI client tools such as Tableau and Power BI or other platforms
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with non-relational databases
• Good working knowledge of statistical computer languages to perform advanced analytics (Python, R)
• A self-motivated, driven, flexible, quick learning, high achieving, “can do” mentality
• A drive to learn and master new technologies and techniques
• An ability to work well independently and as part of a team

It’s Great If You Have

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks
• Knowledge of front-end languages and frameworks (e.g. JS, React)
• Knowledge of big data tools, such as Spark, Kafka, etc
• Knowledge of A/B testing and experimentation frameworks
• Experience with large scale data platforms (GCP, S3, Hadoop, etc.) and modern data warehouse technologies (e.g. Redshift, Snowflake, etc.)
• Experience with software development processes for Agile/Scrum and CI/CD utilizing technologies (e.g. GIT)