Analyst, Data X2 at Standard Bank Group

JOB DESCRIPTION

• 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.

QUALIFICATIONS

Minimum Qualifications
Type of Qualification: First Degree
Field of Study: Information Studies

Experience Required
Data Monetisation
Data & Analytics
5-7 years

• Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

5-7 years

• Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.

5-7 years

• Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working

ADDITIONAL INFORMATION

Behavioral Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Details
• Examining Information
• Exploring Possibilities
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working
• Upholding Standards

Technical Competencies:

• Data Analysis
• Data Integrity
• Database Administration
• Knowledge Classification