Lead: Advanced Data Analytics
Lead: Advanced Data Analytics
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Salary Not Disclosed
1 Vacancy
Job Description
Job Purpose
This role focuses on leading and managing the Transactional Banking analytics infrastructure building strong relationships with business leaders and using advanced analytics to uncover insights and make actionable recommendations. Key tasks include developing churn models anomaly detection and recommender systems.
Job Responsibilities
- Performs in-depth statistical analysis using advanced statistical techniques and machine learning algorithms to support a wide variety of business initiatives such as customer segmentation or behavioural models.
- Reviews existing analytics processes to identify best practices and opportunities for improvement.
- Remains updated with the latest methodologies tools and industry trends in machine learning and artificial intelligence.
- Participate and take the lead in planning processes to define data requirements priorities and ensure that data analytics deliverables are completed according to the project plan and budget to meet stakeholder commitments.
- Responsible for overseeing the Data Analyst Data Scientist and Data engineering teams and their initiatives.
- Responsible for the optimal team resource planning and allocation to projects in line with strategic objectives set up by Head of Data Analytics
- Ensure Data Analytics initiatives across squads and teams are aligned with the business objectives and the data strategy.
- Drive the Nedbank Data Strategy Data Architecture Roadmap and
- Implement Data Analytics Best Practices for Nedbank.
- Develop and implement strategies for data discovery to optimize understanding of the data.
- Report on data analysis activities to provide visibility and deliver insights in improving efficiency and effectiveness of data analytics delivery.
- Oversee the Data Analytics Lifecycle and ensure continuous improvement.
- Collaborate with Business teams Data Scientists Engineers
- Modelers Architects Governance and Centres of Excellence (COEs)
- Ensure compliance with all data policies privacy standards and ownership guidelines.
- Ensures the appropriate tools access and systems are in place to support various data analysis activities and ensure technical issues are addressed promptly.
- Implement opportunities to improve business processes models and systems through agile thinking.
- Contribute to the Nedbank Culture building initiatives (e.g. staff surveys etc.)
- Mentor guide and provide training to junior and entry-level Data Analysts Data Engineer Data Scientist etc. to enhance their analytical and technical skills and manage their performance growth and development.
Essential Qualifications - NQF Level
- Matric / Grade 12 / National Senior Certificate
- Advanced Diplomas/National 1st Degrees
Preferred Qualification
Field of Study: BSc BEng
Preferred Certifications
Cloud (Azure or AWS fundamentals) DevOPS or Data engineering certification Data Science certification SAS certification SQL Python certification Kaggle badges
Minimum Experience Level
- Total number of years of experience: 8-10 Years
- Management experience as part of the above years: 3-5 Years
Types of experience
- Proficiency and experience with descriptive analytics statistical analysis modelling segmentation and data mining using large databases.
- Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings.
- Firm understanding and knowledge of how to build recommender systems with implicit and explicit feedback.
- Proficiency in SQL Python and experience with database management and data profiling tools.
- Experience with data warehousing solutions to store and manage large volumes of Data.
- Firm understanding of ETL processes data integration concepts data management and governance practices.
- Experience with data visualization and reporting tools (e.g. Tableau Power BI Power Apps) is a plus.
- Basic knowledge of data modelling and data warehouse architectures (e.g. star schema snowflake schema) is a plus.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills and ability to work collaboratively in a team environment.
- Experience with leading teams of Data Analysts and performance management
- Experience with handling and manipulating unstructured data.
Technical / Professional Knowledge
- Data Mining
- Research and analytics
- Data analysis
- Statistical Analysis
- data/ data structures
- Presentation Skills
- Problem solving skills
- Supervised Learning
- Big Data Technologies
- Strategic Thinking
- Unsupervised Learning
- NLP
- Deep Learning
- Re-inforcement Learning
- Feature Engineering/Selection
- HyperParameter Tuning
- programming
- Model Deployment/Monitoring
- Model Scaling
- Data Integration/Pipelines
- Data Modelling
- Data Visualisation
- Domain Knowledge
- AI Ethics and Fairness
Behavioural Competencies
- Decision Making
- Innovation
- Technical/Professional Knowledge and Skills
- Customer Focus
- Applied Learning
- Continuous Improvement
People Specification
Preference will be given to individuals from underrepresented groups.
Please contact the Nedbank Recruiting Team at
Employment Type
Contract
