Data Analyst

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description

Provide tools and frameworks used to deliver end-to-end solutions to measurement and profitability analytics. Build scalable solutions for supporting the delivery of clear business profitability insights from raw data sources; with a focus on collecting, managing, analysing and visualising data. Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives. Enable the team to migrate data workloads to cloud platforms.

Qualifications

Minimum Qualification:

• Bachelor's Degree in Mathematical / Statistics / Information Studies / Data & Computer Science (related degree)
• Postgraduate Diploma (Advantageous)

Experience Required

• 3-7 years Data Monetisation experience with big data tools: Hadoop, Spark, Kafka, etc.
• 3-7 Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• 3-7 years 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.
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Additional Information

Behavioural Competencies:

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

Technical Competencies:

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