Head, Data & Analytics
Head, Data & Analytics
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
The Head of Data & Analytics holds a pivotal role in our organisation 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 visualisation coupled with the development of sophisticated analytical solutions.
Key responsibilities include:
- Spearhead the expansion and optimisation of Standard Banks 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 organisations 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 Monetisation 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 organisation.
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
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
