Johannesburg, GautengResponsible for driving business value, building models and taking the lead to select and rotate leads across everyday banking business cluster. Works closely with data engineering and data architects to source and store and run data analytics. Build and run tracking tools for overall everyday banking products and display on a regular basis through visualization tools to business. Drive the analytics portion of the campaign committee. Take the lead to build validation and standardization processes across everyday banking. Build and test applications that deliver analytical and predictive content direct to users, combining commercial, analytical and technological expertise. Manage and grow in data analyst to develop new skillset in open source technologies such as R.
Project Work and Initiatives
Lead a team of data analysts allocated to various projects and modelling assignments to ensure high quality, on time deliverables
Own and drive key initiatives with support from broader team and direct reports. this will be applicable to high priority, high impact projects.
Responsible for sizing all new demand (cost and timeline), identify and foresee upcoming challenges, effectively plan and mitigate risks, and effective resource allocation and utilization
Lead collaboration partner to the data science team to co-create and deliver innovative data products in line with the big data and advanced analytics deliver roadmap
Collaborate with the head of big data and analytics to co-define the development plan for the team towards adoption of new open source technologies like r, rapid miner, python
Building and Growing the Team
Build a team that is entrepreneurial and agile in ethos and is recognized for its commitment to delivery and world-class performance
Collaborate with a broader community of data analysts from own internal teams, disruptive data start-ups and corporate and business partners
Create personalized performance and development plans
Set and measure kpi’s for each direct report
Conduct annual performance reviews
Mentor direct reports to actualize their potential, working with them to map and accomplish goals
Establish the strategy of building up the capability and schemes such as internship programmes, university project partnerships etc.
Maintain a holistic view of team strengths and skills gaps with a view to future resource planning
Infrastructure, Data Access and Control
Responsible to provide platforms, hardware and software, provisioning of internal and external data and appropriate data access control (on a need basis) to ensure productivity
Accountable for peer review forums, testing strategy, code quality control and ensuring best statistical and analytical practices are followed
Responsible to drive a culture of adhering to the highest data standards, governance processes and risk controls in line with the barclays data policy
Ensure up to date knowledge of data privacy, data protection, data regulation and conduct risk within the team of direct reports
Evangelism and Customer/Client Experience
Establish a customer / client centric culture and extend data and insights into actions to impact the end user
Drive a new way of working where data informs business decisions to not only deliver short term benefits but also long term sustainable growth and true customer value
Support & share knowledge and best practices with the analytical, technical and business community in the company and build relationships with the wider global analytics community
Present our leading-edge, advanced analytics and insights capabilities, results and data-driven culture at leading conferences
Education and Experience:
Degree in Bsc, B.Com, BEng, B.BusSc or equivalent nqf level 7 qualification
Preferably Master’s Degree in a quantitative discipline such mathematics, statistics, physics, computer science or engineering
5 years analytics, modelling or software development experience.
Understanding of and experience of applying machine learning methods preferable
Understanding of and experience of using big data technologies preferable
Experience in building analytical tools to generate insight, recognize patterns and predict behaviour, and to deliver content direct to users of data products
Work with technical teams, architects, designers, and administrators to overcome technical challenges and to make it happen
Experience in leading key initiatives to deliver results through an agile methodology
Knowledge & Skills:
Coding/software development skills. strong mathematical and statistical skills.
Knowledge of information technology environments, administration, policies and processes. fiorking knowledge of financial and management accounting desirable
Scala (preferred), Python, Java (as a precursor to learning Scala) including the key numerical, analytical and machine learning libraries
Forecast (desirable) and predictive modeling
SQL , R (desirable), Octave/Matlab
Apache Spark (preferred), Hadoop, Scalding
Linux/unix. Bash. Git. SBT/Maven
Problem Solving Leadership
Collaboration & Leadership
Inspirational People Leadership
The appointment will be made in line with the Divisional Employment Equity strategy.