Head, Data & Analytics

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 corporations 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

The Head of Data & Analytics holds a pivotal role in our organization, tasked with the critical responsibility of providing robust infrastructure, advanced tools, and comprehensive frameworks to deliver end-to-end solutions addressing complex business challenges. This position is instrumental in constructing scalable infrastructure that supports the extraction of clear, actionable business insights from raw data sources. The role demands a steadfast focus on data collection, management, analysis, and visualization, coupled with the development of sophisticated analytical solutions.

Key responsibilities include:

• Spearhead the expansion and optimization of Standard Bank’s data and data pipeline architecture, ensuring maximum efficiency and effectiveness.
• Develop and implement strategies to optimise data flow and collection processes, with the ultimate goal of supporting critical data initiatives across the organisation.
• Oversee the design and implementation of robust data management systems that ensure data integrity, security, and accessibility.
• Lead the development of advanced analytics capabilities, leveraging cutting-edge technologies and methodologies to extract valuable insights from complex datasets.
• Collaborate with senior leadership to align data and analytics strategies with overarching business objectives, ensuring that data-driven decision-making is embedded at all levels of the organisation.
• Establish and enforce rigorous data governance policies and procedures to maintain compliance with regulatory requirements and industry best practices.
• Mentor and develop a high-performing team of data scientists, analysts, and engineers, fostering a culture of innovation and continuous improvement.
• Evaluate and recommend new technologies and tools to enhance the organisation’s data and analytics capabilities, staying abreast of industry trends and advancements.
• Provide expert guidance on complex data-related issues and challenges, serving as the primary point of reference for data and analytics matters within the organisation.
• Develop and maintain strong relationships with key stakeholders, both internal and external, to ensure the successful delivery of data-driven solutions that meet business needs.

Qualifications

Essential Qualifications:

• First Degree in Information Studies or Information Technology

Requisite Experience:

Data Monetization and Analytics: 5-7 years of extensive experience, encompassing:

• Proficiency in big data tools: Hadoop, Spark, Kafka, and related technologies
• Expertise in relational SQL and NoSQL databases, with particular emphasis on Postgres and Cassandra
• Demonstrated capability in data pipeline and workflow management tools, including but not limited to Azkaban, Luigi, and Airflow
• Comprehensive knowledge of AWS cloud services, specifically EC2, EMR, RDS, and Redshift
• Proven experience with stream-processing systems, such as Storm and Spark-Streaming
• Advanced proficiency in object-oriented/object function scripting languages, including Python, Java, C++, and Scala

Critical Competencies:

• Exceptional analytical skills for working with complex, unstructured datasets
• Demonstrated ability to construct robust processes supporting data transformation, data structures, metadata, dependency, and workload management
• Verifiable track record of manipulating, processing, and extracting value from large, disparate datasets
• In-depth working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Advanced SQL proficiency and extensive experience with relational databases, query authoring, and a broad familiarity with diverse database systems
• Proven expertise in building and optimising ‘big data’ pipelines, architectures, and datasets
• Demonstrable experience in conducting root cause analysis on internal and external data and processes to address specific business questions and identify areas for enhancement

The successful candidate must possess a combination of technical prowess, analytical acumen, and strategic thinking to drive data-driven decision-making across the organization.

Additional Information

Behavioral Competencies:

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

Technical Competencies:

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

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