Administrator AND a Data Capturer - Cape Town (Paarl area) ADMINISTRATOR as well as a DATA CAPTURER Matric MUST 2-3 Year's working experience either as a: ADMINISTRATOR (Office) OR DATA CAPTURER Clean Criminal record
Administrator AND a Data Capturer - Cape Town (Paarl area) ADMINISTRATOR as well as a DATA CAPTURER Matric MUST 2-3 Year's working experience either as a: ADMINISTRATOR (Office) OR DATA CAPTURER Clean Criminal record
ADMINISTRATOR as well as a
DATA CAPTURER
* Matric
* MUST be Computer
working experience either as a:
ADMINISTRATOR (Office) OR
DATA CAPTURER
Job Title : Customer Experience Analyst/Quality Assurance (German Speaking) Location : Woodstock Type dedicated to delivering exceptional customer experiences. They are committed to fostering a dynamic and customer-centricity. About the Role: The Customer Experience Analyst ensures top-notch customer interactions standards; Create and update customer experience reports; Analyze data to identify areas for improvement; PowerPoint, Outlook); At least 3 years of call center experience, with a minimum of 2 years in a quality role;
Responsibilities:
skills
Qualifications and experience
and experienced Data Scientist with a robust background in data analysis, machine learning and R, as well as expertise in SQL for efficient data manipulation. Excellent problem-solving skills, exploring emerging technologies and methodologies in the data science field.Â
What you’ll do explore, examine, integrate and scrub data from multiple disparate data sources required to answer complex and collaborative partnerships with BI Analysts / Data Scientists / Use Case Owners in the business.
economics, data engineering, risk management, or equivalent industry training and experience.
1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
lookout for accomplished Data Engineers with strong academics, robust project experience and technical knowledge years of relevant experience