1,967 Freelance Data jobs in South Africa

1. Your area of responsibility includes the independent analysis, maintenance, control, and correction of master data in the relevant systems.
2. Maintain master data mainly for all The Company’s TMS & other global applications.
3. Data preparation using Excel and continuous assurance of data quality.
4. Enforce established data standards and guidelines.
5. Provide accurate control and ensure rapid clarification in the event of discrepancies.
6. Create analysis and reports as needed.
7. Design and optimize master data processes, preparing MDM documents / SOPs.
8. Act as the internal contact person for master data specific questions.

1. Matric or Senior Certification equivalent.
2. Working knowledge of ERP modules.
3. Experience of working as offshore service providers would be an advantage.
4. Independent, structured, prospective, and solution-oriented way of working.
5. English language skills as well as confident handling of MS-Office, especially Excel.

• Your area of responsibility includes the independent analysis, maintenance, control, and correction of master data in the relevant systems.
• Maintain Master Data mainly for all The Company`s TMS & other global applications.
• Data preparation using Excel and continuous assurance of data quality.
• Enforce established data standards and guidelines.
• Accurate control and ensuring rapid clarification in the event of discrepancies.
• Create analysis and reports as needed.
• Design and optimization of master data processes, preparing MDM documents/SOPs.
• Internal contact person for master data specific questions.

Requirements:

• Matric or Senior Certification equivalent
• Working knowledge of ERP modules.
• Experience of working as offshore service providers would be an advantage.
• Independent, structured, prospective, and solution-oriented way of working
• English language skills as well as the confident handling of MS-Office, especially Excel

Data entry specialists are responsible for digitizing data for storage purposes. They work in the administrative department of a company and their duties include collecting client information, maintaining an organized filing system, and reviewing data for completeness and accuracy.

We are looking to hire a dynamic data entry specialist to join our company's administrative department. In this role, you'll be responsible for entering client information into our electronic storage system, updating existing entries, and organizing hard copies of information appropriately.

To ensure success as a data entry specialist, you should display impeccable organizational skills and experience working with a variety of databases. Ultimately, a top-notch data entry specialist should have a razor-sharp eye for detail and excellent knowledge of data management.

• Collecting and digitizing data such as invoices, canceled bills, client information, and financial statements.
• Maintaining a detailed and organized storage system to ensure data entries are complete and accurate.
• Keeping a record of hard copy data such as invoices, inventory checklists, and other financial documents.
• Establishing data entry standards by continually updating filing systems to improve data quality.
• Addressing data inconsistencies by working with administrative staff to locate missing data.
• Attending to data queries and reporting any major data errors to management.
• Adhering to best data management practices and maintaining a high standard of accuracy and efficiency.

• A high school diploma or GED.
• At least 1 year of experience working as a data entry specialist.
• Excellent knowledge of data entry software, such as Ninox, Kintone, and OmPrompt Order Management.
• Exceptional organizational skills, a keen eye for detail, and the ability to spot errors with accuracy and efficiency.
• Good communication skills and the ability to collaborate with staff members.
• Solid time management skills and the ability to prioritize tasks.
• Excellent typing skills and experience working with Windows, Microsoft Office, and Google Suite.

Department: Sales and Delivery Team - Empower

Industry: Information Technology & Services, Computer Software, Management Consulting

Location: South Africa

Experience Range :8+ years

Basic Qualification: Master/Bachelor of Engineering or Equivalent

Travel Requirements: Not required

Website :

Exusia, a cutting-edge digital transformation company, seeks a Data Scientist to join our global delivery team's Data Engineering & Analytics practice around the world.

What’s the Role?

The Data Scientist role will be part of our Data Engineering & Analytics practice and will be focused on delivering best of breed solutions to our clients leveraging Advanced Analytics & Machine Learning tools and techniques.The candidate will also be part of the practice team and contribute to Competency development, driving innovation through various internal initiatives within the company. Candidate should have more than 8 years of experience with broad exposure to Data Engineering, Data Mining, Business Intelligence & Machine learning

Responsibilities:

• Work on client projects to deliver Data insights using AI, ML and Advanced analytics techniques
• Architect, Build & Deploy scalable Machine Learning models both on premise & on cloud platforms
• Work with the business stakeholders to Identify problem statement, check availability of data and identify appropriate solutions to provide insights to address the problems and deliver better outcomes
• Work closely with the data engineering teams to source and ingest data into data lakes
• Look at semi structured and unstructured data and propose solutions to translate them into structured data format to provide better insights
• Collaborate with S & D leadership to propose and execute ML POCs to deliver quick wins for the clients
• Providing mentorship to junior resources within the data scientist community

Mandatory Skills:

• Should have 6+ years of experience working in Business Intelligence, Analytics and Machine Learning
• Extensive hands-on experience analyzing data with SQL
• Experience in data mining of large data sets using tools like SAS / R / Python to identify patterns
• Experience in using tools like Alteryx or Python libraries like Pandas for preprocessing & cleaning data
• Experience using BI tools like Tableau or PowerBI for self-service analysis and Visualization of data
• Collaborate with data engineering teams to ingest unstructured & semi structured data into data lakes
• Identify data sets, attributes and patterns to propose appropriate ML approach for a given problem
• Strong fundamentals in statistics and its application for building and validating ML models
• Understanding of Supervised, Unsupervised and Reinforcement learning approaches
• Strong experience in using Regression / Classification / Clustering algorithms and their application for appropriate use cases
• Build models using R, Python or Cloud native ML offerings from AWS, AZURE and GCP platforms
• Deploy ML models at scale using tools like TensorFlow Serving, Sagemaker, Torchserve
• Problem-solving skills along with good interpersonal & communication skills

Nice-to-Have Skills

• Exposure to Azure, AWS and Google Cloud Platforms with hands on exposure to ML service offerings
• Experience working with teams located in multiple locations across the globe
• Knowledge and understanding of various Data repositories, Databases, ETL and BI tools and data assets hosted on Hadoop or cloud platforms
• Agile development experience & collaborating with data engineering teams
• Familiarity with Spark, Scala and distributed data processing platforms will be a big advantage
• Ability to work with tools like Jupyter / Databricks notebooks to interactively work with data sets

Exusia, Inc. is committed to maintaining a dynamic work culture. We offer an excellent compensation and benefits package to all employees.

About Exusia:

Exusia ( is a global technology consulting company that empowers its clients to gain a competitive edge by accelerating business outcomes and providing strategy and execution capabilities around digital, analytics and cloud solutions. The company has established its leadership position by solving some of the world's largest and most complex data engineering and analytical problems in the healthcare, financial, telecommunications, consumer products and high technology industries.

Exusia’s mission is to transform the world through the innovative use of information.

Over the past 3 years, Exusia was recognized by Inc. 5000 and by Crain’s publications as one of the fastest growing privately held companies in the world.Since the company’s founding in 2012, Exusia has experienced an impressive seven years of revenue growth and has expanded its operations in the Americas, Asia and Africa. Exusia has recently also been recognized by publications such as the CIO Review, Industry Era, Insight Success and the CIO Bulletin for the company’s innovation in IT Services, the Telecommunications and Healthcare industries and it's entrepreneurship. The company is headquartered in Miami, Florida, United States with development centers in India.

Interested applicants should apply by forwarding their CV to:

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Business Consulting and Services

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City of Johannesburg, Gauteng, South Africa 2 days ago

Johannesburg, Gauteng, South Africa ZAR85,000.00-ZAR110,000.00 6 days ago

Johannesburg, Gauteng, South Africa 1 month ago

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Beauparc Mogalakwena, Limpopo, South Africa

Join to apply for the Data Science Lead role at Beauparc

Beauparc Mogalakwena, Limpopo, South Africa

Join to apply for the Data Science Lead role at Beauparc

• Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
• Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research.
• Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions.
• Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators.
• Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis.
• Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms.
• Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders.
• Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation.
• Make business recommendations based on the data that drives better business decisions.
  
  

• Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
• Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research.
• Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions.
• Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators.
• Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis.
• Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms.
• Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders.
• Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation.
• Make business recommendations based on the data that drives better business decisions.
  
  

• Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
• Experience: Over 3 years of experience in data analytics
• Technical Skills: Proficiency in data analysis and visualization tools such as SQL, Excel, Tableau, Power BI, or similar. A focus on Power BI experience.
• Dashboard Creation Expertise: Extensive experience in designing and implementing effective dashboards that provide real-time insights and enable the business to track performance and make informed decisions.
• Additional Knowledge: Experience in strategic planning using quantitative techniques, managing large data volumes, and advanced statistical techniques.
• Interpersonal Skills: Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights.
• Experience using Data Science algorithms and methods to solve business problems using R or Python
• Excellent capability in SQL to extract data from databases
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Utilities

Referrals increase your chances of interviewing at Beauparc by 2x

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