As a senior business intelligence engineer at our client, you will drive the overall growth of a fast upcoming multi-billion Rand business by developing intelligent ways to identify catalysts for payment success.
The role will leverage a wide variety of disciplines, including analytics, machine learning, data engineering and SQL development.
As one example, priority #1 for the role is developing a model that will identify what activities payers engage in and what other behaviour patterns make or break their success.
This project would involve setting-up a Redshift cluster, ingesting large volumes of data, partnering and learning from other teams at our client, building out an analytics model, and implementing a test and learn approach.
Partner with functional leads to understand their data and reporting requirements, and translating them into definitions and technical specifications (PRD)
Be responsible for defining, developing and optimizing curated datasets and schemas with standardized metrics and definitions across the company
Develop, deploy and maintain ETL jobs and visualizations
Work closely with technical partners in the data platform engineering team on designing and developing robust data structures and highly reliable data pipelines
Troubleshoot technical issues with platforms, data discrepancies, alerts etc
Perform ad hoc analysis, insight requests, and data extractions to resolve critical business issues
Establish a fully-fledged AI (artificial intelligence) driven environment set on predictive analytic to fully assist monthly reporting requirement of the Sales, Key Accounts Management and Finance departments
Bachelor’s degree in computer science, statistics or related field
2+ years demonstrated experience in a data-centric function
Expert in SQL
Experience working with big data
Experience with Machine-Learning and / or Statistics
Experience with BI tools, like Tableau, Quicksight or Microstrategy.
Experience working with AWS big data technologies (Redshift, S3, EMR)