Are you ready to drive data-driven decision-making to new heights? We're seeking a strategic thinker thinker and analytical powerhouse to lead our data analytics team in harnessing the potential of data to shape of improved data analytics through the development and management of value-added analytics, business insights
Job Responsibilities:
- Manage team and team deliverables, including people and gain insights from complex datasets, supporting data-driven decision-making efforts.
- Contribute
/>
utilize software for the purposes of data analysis as the next Data Analytics Trainer sought by a forward-thinking in training delivery, preferably in the field of Data Analysis, Audit, Risk, or Compliance. You must be software solutions, such as Audit Command Language Analytics and Audit Command Language GRC, and familiarity Display expert knowledge in Audit Command Language and data analysis techniques. Conduct Training Sessions: effectively utilize its features to address their data analysis objectives. Stay updated with software
passionate about unlocking the secrets hidden away in data? Do you know (or want to learn even more) about individual to join our Credit Risk department, managing a team of data scientists and strategic thinkers. If you you are someone that enjoys analyzing data, formulating strategies and driving change then this position successful individual will be working with the top management in Credit Risk, Credit Marketing & Credit strategy • Implement and optimise existing account management strategies • Finding opportunities for profit
for this role Data Analysis Strategy Data gathering and analysis Valuable data insights Data integrity Business Business partnering Project management Bachelor's or Master's degree in a related field such as Statistics Power BI,SQL experience is key 3-5 years of data analytics experience, preferably in a large company Financial Analysis and deep understanding of data extraction and manipulation of data techniques Proficient in Power complex data into simple written analysis including the use of visual representations of data outputs
Senior Data Analytics and Credit Risk Manager. R1.5million pa.
Relevant background of success in the credit risk and data analytics environment. Possess a blend of technical acumen ability to navigate complexities of credit risk management in a fast paced environment. Strong proficiency would be advantageous. Demonstrated experience in data modeling, statistical analysis and predictive modeling risk models and strategies. Ability to align data analytics initiatives with overall business strategy
a Credit Analytics and Modelling Manager to be based in Sandton/Midrand. The Credit Analytics and Modeling Modeling Manager is a modeling expert that applies a credit risk background in the telecommunication industry quantities of data to positively affect profitability and credit losses. Credit analytics and risk. Preparing and validating data to perform quantitative analysis for statistical and modeling data. Model creation creation and Management. Development of models in multiple programming languages. Develop and maintain user
passionate about unlocking the secrets hidden away in data? Do you know (or want to learn even more) about individual to join our Credit Risk department, managing a team of data scientists and strategic thinkers. If you you are someone that enjoys analyzing data, formulating strategies and driving change then this position successful individual will be working with the top management in Credit Risk, Credit Marketing & Credit strategy • Implement and optimise existing account management strategies • Finding opportunities for profit
Senior Specialist: Data Integration & Operational Analytics
Job Type:
Senior Specialist: Data Integration & Operational Analytics is to play a key role in
monitoring of extraction processes for credit risk analytics data, ensuring efficiency, quality, and ease of
will, under the management of the Manager: Data Integration & Operational Analytics be a technical
technical lead in data analysis relating to credit risk and billing operations, ranging across the credit lifecycle
of B degree ( Maths,Statistics, Computer Science, Data Science)