10 Data Analysis jobs in Benoni

A leading manufacturing company specializing in materials packaging is currently seeking a Business Intelligence Team Lead. As a Business Intelligence Team Lead, you will be responsible for developing, refining, and optimizing data extraction processes, analyzing, and resolving technical issues and application problems, and offering technical expertise in assessing and enhancing existing business solutions.

This role will challenge you and expand your skill set. As you navigate the complexities of data analytics, you'll sharpen your analytical expertise, strategic thinking, and communication skills. Embrace continuous learning and personal development as you embark on an enriching journey of professional growth.

• 5 years of experience as a Report Analyst.
• 5 years of experience developing BI reporting on multiple solutions.
• 3 years of experience with ClickView solution.
• Experience in developing reporting strategies for organizations.
• Experience in leading a team.
• Proven ability to develop and implement ICT strategy.

If you meet the requirements for the above position join as a Business Intelligence Team Lead, click on the Apply button. If you don’t hear from us within 2 weeks of the closing date, please consider your application unsuccessful.

Sikho Mdedetyana

• HR Services, Recruitment & Selection

Online Data Analyst - English (ZA)

Job Description :

Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home.

A Day in the Life of an Online Data Analyst:

• In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide.
• Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.

TELUS Digital AI Community

Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands.

Qualification Path:

No previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement.

Basic Requirements

• Full Professional Proficiency in English.
• Being a resident in South Africa for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in South Africa.
• Ability to follow guidelines and conduct online research using search engines, online maps, and website information.
• Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance.
• Daily access to a broadband internet connection, computer, and relevant software.

Assessment:

In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.

Equal Opportunity

All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.

Online Data Analyst - English (ZA)

Job Description :

Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home.

A Day in the Life of an Online Data Analyst:

• In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide.
• Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.

Qualification Path:

No previous professional experience is required to apply to this role; however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement.

Basic Requirements

• Full Professional Proficiency in English.
• Being a resident in South Africa for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in South Africa.
• Ability to follow guidelines and conduct online research using search engines, online maps, and website information.
• Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance.
• Daily access to a broadband internet connection, computer, and relevant software.

Assessment:

In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.

Equal Opportunity

All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.

Online Data Analyst - English (ZA)

Job Description :

Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home.

A Day in the Life of an Online Data Analyst:

• In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide.
• Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.

Qualification Path:

No previous professional experience is required to apply to this role; however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project, and your work will be subject to our standard quality assurance checks during the term of this agreement.

Basic Requirements

• Full Professional Proficiency in English.
• Being a resident in South Africa for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in South Africa.
• Ability to follow guidelines and conduct online research using search engines, online maps, and website information.
• Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance.
• Daily access to a broadband internet connection, computer, and relevant software.

Assessment:

In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.

Equal Opportunity

All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.

If you are a current DSV employee and interested in a position in another country, please contact your Human Resource representative to discuss the process and requirements of applying.

DSV - Global transport and logistics

Founded in 1976 in Denmark, DSV has grown to become the world's third-largest provider of transport and logistics solutions. We operate in over 80 countries, offering services including transportation, storage, packaging, and customs clearance to support our customers' supply chains. Learn more at .

Location: Kempton Park

Job Title: Senior Data Analyst, Solutions

Type: Full Time

• Bachelor’s or master’s degree in Data Science, Mathematics, Statistics, Computer Science, Industrial Engineering, or related field (Honors preferred)

• SQL (MS SQL, PostgreSQL, MySQL): Proficient in writing and optimizing complex queries
• Power BI & Data Visualization: Advanced skills, including DAX, Power Query, and custom visuals
• Python (R is a plus): Proficiency in data manipulation, machine learning, and automation

• Over 5 years in data analytics or related roles within supply chain environments
• Experience with large datasets from ERP, WMS, TMS, FMS systems
• Strong communication, attention to detail, results-driven, innovative thinking, time management, analytical skills

• Business requirements analysis, data engineering & ETL, knowledge of warehouse and transport systems
• Preferred: Experience with cloud platforms (Azure, AWS, Google Cloud), supply chain certifications (e.g., APICS)

The Senior Data Scientist/Analyst will analyze large datasets to improve service and operational efficiency, develop models for demand forecasting, and support decision-making processes within the Solutions FMS Team in Johannesburg.

• Data analysis, modeling, and visualization to uncover trends and inefficiencies
• Develop predictive and prescriptive analytics models
• Create dashboards and reports for real-time monitoring
• Identify operational bottlenecks and propose data-driven solutions
• Ensure data quality and collaborate across departments
• Automate data pipelines and workflows
• Support capacity planning and stay updated on industry trends
• Communicate insights effectively to stakeholders

Note: Only shortlisted candidates will be contacted. If you do not hear from us within four weeks, consider your application unsuccessful. We follow fair hiring practices and promote diversity and inclusion. DSV is committed to sustainability and ethical business practices.

DSV – Global transport and logistics

Join a global leader dedicated to innovation, diversity, and sustainability. We offer a dynamic work environment where talented individuals can thrive and advance their careers.

DSV - Global transport and logistics
In 1976, ten independent hauliers joined forces and founded DSV in Denmark. Since then, DSV has evolved to become the world's 3rd largest supplier of global solutions within transport and logistics. Today, we add value to our customers' entire supply chain by transporting, storing, packaging, re-packaging, processing and clearing all types of goods. We work every day from our many offices in more than 80 countries to ensure a steady supply of goods to production lines, outlets, stores and consumers all over the world. Our reach is global yet our presence is local and close to our customers. Read more at

Location: Kempton Park
Job Posting Title: Senior Data Analyst, Solutions
Time Type: Full Time

Tertiary Qualification(s)

• Bachelor’s or master’s degree in an analytical discipline such as Data Science, Mathematics, Statistics, Computer Science, Industrial Engineering, or a related field. (Honors degree preferable)

Additional Computer Skills

• SQL (MS SQL, PostgreSQL, MySQL): Ability to write and optimize complex queries for efficient data extraction, transformation, and analysis. • Power BI & Data Visualization: Advanced Power BI development, including DAX, Power Query, custom visuals, and automated report generation. • Python (R is a plus): Proficiency in Python for data manipulation (Pandas, NumPy), machine learning (Scikit-learn, TensorFlow), and automation.

Job-related Requirements

Experience:

• +5 years of experience in a data analytics, data science, or business intelligence role within a supply chain • Experience working with large datasets from multiple sources (ERP, WMS, TMS, FMS) to drive operational insights and efficiencies. • Hands-on experience in forecasting, optimization, and predictive modelling to support supply chain decision-making.

Soft Skills:

• Effective Communication: Strong written and verbal communication skills to present complex data findings in a clear, concise, and actionable manner. • Attention to Detail & Accuracy: Well-organized with a strong focus onprecision, ensuring high data quality and reliability. • Results-Driven Mindset: Demonstrates dependability, persistence, productivity, and resourcefulness to achieve business goals. • Innovative & Forward-Thinking: Passion for innovation, embracing change, questioning the status quo, and seeking new approaches to problem-solving. • Time Management & Prioritization: Ability to manage multiple projects efficiently, meeting deadlines while maintaining data integrity. • Analytical & Logical Thinking: Strong problem-solving abilities, with a structured and logical approach to identifying trends, inefficiencies, and business opportunities.

Technical Skills:

• Business Requirements Analysis: Ability to interpret business needs and translate them into data-driven solutions and specifications. • Data Engineering & ETL: Understanding of data pipelines, ETL processes, and integration of multiple data sources. • Warehouse & Transport Systems Knowledge: Familiarity with Warehouse Management Systems (WMS), Transportation Management Systems (TMS), and Freight Management Systems (FMS) to extract and analyse operational data

ADDED ADVANTAGES FOR THIS ROL

• +5 years of experience in a data analytics, data science, or business intelligence role within a Retail • Strong foundational knowledge of Supply Chain Management— certification (e.g., APICS CSCP, CPIM, SCOR-P) or proven industry experience is highly advantageous. • Big Data & Cloud Platforms (Advantageous): Experience with Azure Synapse, AWS Redshift, Google BigQuery, or Snowflake

MAIN PURPOSE OF THE ROLE

The Senior Data Scientist / Analyst will report into the Senior Manager, Planning & Transport Operations based in Johannesburg. This role be part of the Solutions FMS Team who are responsible for inventory optimization, warehouse and transport planning, execution and transport management for the South African Solutions Business and Clients. The core purpose of the role is to establish engagement opportunities with customers and operations, interpret large volumes of data from various sources and translating the intelligence into meaningful information which when applied will improve service to Clients, and increase operational productivity. The ability, meaning market related know how and experience on accessing, and querying large data sets on various industry standard systems, building models to process and interpret the data, analysis, discovery of useful information, detection of patterns patterns, anomalies, trends and behaviors, forecast future demand, incorporate client business intelligence, identify areas for operational improvement and suggest solutions Is essential to the success of this role within our business

DUTIES & RESPONSIBILITIES

• Data Analysis & Insights: Analyze, interpret, and model structured and unstructured data from multiple supply chain systems (e.g., WMS, TMS, ERP) to uncover trends, inefficiencies, and opportunities for cost savings and process optimization. • Predictive & Prescriptive Analytics: Develop and implement machine learning models and statistical techniques to forecast client demand, optimize inventory levels, and enhance operational planning for inbound and outbound logistics. • Advanced Data Visualization & Reporting: Design and maintain interactive dashboards and reports using Power BI and other analytics tools, ensuring real-time visibility into key performance metrics across supply chain operations. • Operational Efficiency & Process Improvement: Identify bottlenecks and inefficiencies in transportation, warehousing, and inventory management by leveraging data-driven insights, and propose data-backed solutions to improve overall performance. • Data Governance & Quality Management: Validate, clean, and standardize data to ensure accuracy and integrity; collaborate with IT and business teams to resolve data discrepancies and enhance data quality in enterprise systems. • Cross-functional Collaboration: Work closely with supply chain managers, operations teams, finance, and IT to translate business challenges into analytical solutions, ensuring alignment with strategic goals. • Automation & Innovation: Develop automated data pipelines and workflow optimization tools to enhance decision-making efficiency and reduce manual reporting efforts. • Resource & Capacity Planning: Support workforce and asset allocation planning by integrating demand forecasts with operational resource planning models. • Continuous Learning & Market Trends: Stay updated on emerging technologies, AI applications in logistics, and best practices in supply chain analytics to drive innovation and maintain a competitive edge. Stakeholder Communication & Storytelling: Present complex data findings and insights in a clear, concise, and actionable manner to technical and non-technical stakeholders, supporting data-driven decision-making at all levels of the organization

Disclaimer : Due to the high volume of applications received, only shortlisted candidates will be contacted. Should an external candidate not hear from us within four (4) weeks following their application, they should consider their application unsuccessful. Strictly fair and non-discriminatory selection procedures will be followed. We use Affirmative Action (AA) measures in an endeavor to redress the disadvantages in employment experienced by designated groups. Where possible, preference will be given to candidates from the designated groups as defined in the Employment Equity Act and in line with DSV’s Employment Equity plans. DSV reserves the right to defer or close a vacancy at any time.

DSV – Global transport and logistics

DSV is a dynamic workplace that fosters inclusivity and diversity. We conduct our business with integrity, respecting different cultures and the dignity and rights of individuals. When you join DSV, you are working for one of the very best performing companies in the transport and logistics industry. You’ll join a talented team of approximately 75,000 employees in over 80 countries, working passionately to deliver great customer experiences and high-quality services. DSV aspires to lead the way towards a more sustainable future for our industry and are committed to trading on nature’s terms.

We promote collaboration and transparency and strive to attract, motivate and retain talented people in a culture of respect. If you are driven, talented and wish to be part of aprogressiveand versatile organisation, we’ll support you and your need to achieve your potential and forward your career.

Visitdsv.com and follow us onLinkedIn ,Facebook andTwitter .

Reporting to: Commercial Manager

Based at: Germiston Gauteng

About The Company:

Our client is a leading provider of Specialised Cleaning and Hygiene Services across Southern Africa.

Job Purpose and Overview:

We are looking for a passionate Data Analyst / Business Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Develop analysis and reporting capabilities as well as monitor performance and quality control plans to identify improvements.

Key Responsibilities:

1. Data Analysis: Collect, process, and analyze data to provide actionable insights, trends, and patterns to support data-driven decision-making within the organization.
2. Basic IT Skills: Proficiency in fundamental IT skills to troubleshoot and provide basic support during the weekdays and be on standby every second weekend for IT assistance.
3. Data Visualization: Ability to create data visualizations and reports that effectively communicate insights to non-technical stakeholders.
4. Reporting: Develop and maintain periodic reports to track key performance indicators and deliver insights to relevant teams.
5. Problem-Solving: Identify and resolve data-related issues, ensuring data accuracy and reliability.

Qualifications, Skills and Experience:

• A bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Data Science)
• Strong analytical and problem-solving skills.
• Proficiency in data analysis tools such as Excel, SQL, or similar software.
• Basic IT knowledge and the ability to troubleshoot common IT issues in a Microsoft environment.
• Excellent communication and presentation skills to convey complex data findings to non-technical stakeholders.
• 3 – 5 years of experience in a similar role.

Advantageous Skills and Knowledge:

• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
• Experience in building web-based dashboards using platforms like "Bubble" or similar tools.

Working Hours:

• This is a full-time position with 8-hour workdays, Monday to Friday, at our office location.

Additional Information:

• The candidate should be available on standby every second weekend for basic IT support.

Reporting to: Commercial Manager

Based at: Germiston Gauteng

About The Company:

Our client is a leading provider of Specialised Cleaning and Hygiene Services across Southern Africa.

Job Purpose and Overview:

We are looking for a passionate Data Analyst / Business Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Develop analysis and reporting capabilities as well as monitor performance and quality control plans to identify improvements.

Key Responsibilities:

1. Data Analysis: Collect, process, and analyze data to provide actionable insights, trends, and patterns to support data-driven decision-making within the organization.
2. Basic IT Skills: Proficiency in fundamental IT skills to troubleshoot and provide basic support during the weekdays and be on standby every second weekend for IT assistance.
3. Data Visualization: Ability to create data visualizations and reports that effectively communicate insights to non-technical stakeholders.
4. Reporting: Develop and maintain periodic reports to track key performance indicators and deliver insights to relevant teams.
5. Problem-Solving: Identify and resolve data-related issues, ensuring data accuracy and reliability.

Qualifications, Skills and Experience:

• A bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Data Science)
• Strong analytical and problem-solving skills.
• Proficiency in data analysis tools such as Excel, SQL, or similar software.
• Basic IT knowledge and the ability to troubleshoot common IT issues in a Microsoft environment.
• Excellent communication and presentation skills to convey complex data findings to non-technical stakeholders.
• 3 – 5 years of experience in a similar role.

Advantageous Skills and Knowledge:

• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
• Experience in building web-based dashboards using platforms like "Bubble" or similar tools.

Working Hours:

• This is a full-time position with 8-hour workdays, Monday to Friday, at our office location.

Additional Information:

• The candidate should be available on standby every second weekend for basic IT support.