Senior Business Intelligence Analyst
SUMMIT Africa Recruitment
Johannesburg, South Africa, Gauteng, ZA
2d ago

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.

You will

  • 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
  • You have

  • 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)
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