Data Analyst at Standard Bank Group

JOB PURPOSE

Provide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions.Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.

This is a 12 month contract. 

KEY RESPONSIBILITES

• Designing and developing scalable ETL packages from the business source systems and the development of ETL routines in order to populate databases from sources and to create aggregates. Oversee large-scale data Hadoop platforms and to support the fast-growing data within the business.
• Utilise data to discover tasks that can be automated and identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Create and maintain optimal data pipeline architecture and creating databases optimized for performance, implementing schema changes, and maintaining data architecture standards across the required Standard Bank databases. Work alongside data scientists to help make use of the data they collect.
• Liaise and collaborate with the entire team, providing support to the entire department for its data centric needs. Collaborate with subject matter experts to select the relevant sources of information and translates the business requirements into data mining/science outcomes. Presents findings and observations to team for development of recommendations.

QUALIFICATIONS

• An IT related degree
• 5-7 years experience - with big data tools: Hadoop, Spark, Kafka, etc.
• 5-7 years experience - working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• 5-7 years experience - Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.