for a Data Analytics Reporting Specialist,whose responsibility will be to analyze and interpret data in candidate will compile reports, analyze and synthesize data in order to communicate the Company’s metrics to to stakeholders. They will also analyze data in order to identify areas of concern in specific areas relating capability in the business. This will require combining data from all HR systems to produce a holistic view of analysing and synthesizing large amounts of complex data into relevant insights Experience with large databases
client's data-driven culture, helping the business to generate meaningful value from data.
Reference: CPT005160-KJ-1 Data Analytics Engineer/ Specialist A leadership team that values autonomy products is looking for a Senior Data Analytics Engineer/ Specialist to join their team. Qualifications Knowledge and execution capabilities of common data structures, languages, and tools (e.g. SQL (must) R (must). Experience or familiarity with data science model operationalization on-prem or in the cloud Understanding and interpretation of statistics and data with a foundational knowledge of regression analysis
a Risk Analyst who is experienced in Modelling & Analytics to join their team based in Cape Town areas and account management tactics. Predictive model development and monitoring for the improvement of Strong analytical and problem-solving skills Knowledge of statistical & Mathematical models Interpretation reports Strong attention to detail Monitoring output data quality Must be able to manage deadlines Minimum Preparing data-driven credit policy recommendations for senior management Exposure to Bureau data and Developing
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 validating data to perform quantitative analysis for statistical and modeling data. Model creation and and Management. Development of models in multiple programming languages. Develop and maintain user requirements
talented and experienced Data Modeler to join our dynamic team at iOCO. As a Data Modeler, you will play a crucial maintaining data models that facilitate efficient storage, retrieval, and analysis of data across various with stakeholders, including business analysts, data scientists, and IT professionals, to understand requirements and translate them into robust data models.
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What you’ll do:data models to support business requirements and data analysis needs.
for this role Data Analysis Strategy Data gathering and analysis Valuable data insights Data integrity Business 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 BI, Tableau and SQL Proficiency with building predictive models in a suitable programming language, as ML) Strong Financial Modelling experience Highly skilled at simplifying complex data into simple written
PTA002937-CB-1 As a Data Analytics Specialist, you will be at the forefront of employing leading analytical methods our client's data-driven culture, helping the business to generate meaningful value from data. To partner needs, and help to guide, design and build robust, innovative, analytical solutions. Central to the role is context is retained when building analytical and data-driven solutions. Build a deep contextual understanding understanding of the business and the data to design and propose new solutions that could add meaningful business
JOB DESCRIPTION Data Scientist Cape Town, South Africa (Hybrid work model) Permanent About TFG: Who we innovation and excellence. Within this team, the Analytics division is instrumental in crafting the algorithms merchandise systems and initiatives. We focus on data analytics and data science initiatives that streamline operations Responsibilities: Develop and implement advanced analytics and data science solutions to optimize merchandise systems Analyze data trends to support allocations, stock management, and other retail analytics needs Collaborate
will include: