2,465 Data Acquisition jobs in South Africa

Company:

A well-established brand with a global strategy, that prides itself on making people’s lives easier through frontier technology that creates enabling opportunities.

Culture :

At FLASH, we realise that “the way we do things around here” drives our business and enables us to achieve our purpose of “Making People’s Lives Easier”. Our 3 values are the drumbeat of our business: 

• We are all in 


• We have each other’s backs 


• We are brave 
   

These values help us to make our People’s lives easier by creating a culture where people come to work because it’s a place where they can engage in meaningful work, in a supportive environment where they can be the best version of themselves and achieve the remarkable!

Job Role:  

The Senior Data Analyst role is responsible for analysing the customer acquisition funnel, ensuring SIM distribution translates into quality activations and long-term customer value. This role provides insights into inflow performance, early lifecycle stickiness, and channel effectiveness. By translating data into actionable recommendations, the role supports strategic growth, campaign optimisation, and operational efficiency.

Responsibilities:

• Analyse the full acquisition funnel from SIM distribution to activation to recharge.


• Measure and report on activation quality and identify fraudulent or non-productive activations.


• Track early lifecycle performance (0–6 months), including recharge timing, frequency, and ARPU ramp-up.


• Build dashboards to monitor acquisition KPIs such as conversion %, stickiness, and inflow ARPU.


• Evaluate channel and campaign performance, identifying which sources deliver quality customers.


• Provide insights into ROI of acquisition incentives (e.g., CIB payouts, tiered SIM rewards).


• Profile customers at the point of acquisition to predict long-term retention and value.


• Partner with Retention Analyst to link acquisition sources with churn outcomes.


• Deliver monthly Acquisition Health Reports with insights and recommendations.


• Work with Brand and Campaign teams to guide targeting and onboarding strategies.


• Support operational teams with real-time acquisition insights to improve field performance.


• Contribute to strategic planning by highlighting acquisition opportunities and risks.

Requirements:

• Bachelor’s degree in data Analytics, Statistics, Economics, or related field (preferred but not mandatory if proven experience exists).


• Minimum 5 years’ experience in data analysis, preferably within telecoms, FMCG, or financial services.


• Advanced proficiency in SQL, Python or similar for data extraction and analysis.


• Strong ability to design dashboards and reports in BI tools (Power BI, Tableau, Qlik).


• Knowledge of telecom acquisition metrics (activations, inflow ARPU, CIB incentives, SIM-to-revenue conversion).


• Strong grasp of data governance and compliance in customer acquisition environments (KYC, fraud detection).


• Ability to perform statistical analysis, segmentation, and funnel modelling.


• Excellent written and verbal communication skills for translating insights into actionable recommendations.

Competencies / Attributes:

• Analytical Thinking – Quickly interprets complex data to identify trends and opportunities.


• Problem Solving – Anticipates challenges and develops practical, data-backed solutions.


• Attention to Detail – Ensures accuracy and integrity of analysis and reporting.


• Business Acumen – Understands the commercial drivers behind acquisition performance.


• Collaboration – Works effectively across teams.


• Communication – Translates technical insights into clear, actionable business language.


• Adaptability – Adjusts to fast-changing priorities and competitive market conditions.


• Proactivity – Anticipates performance gaps and flags them before they escalate.


• Stakeholder Influence – Persuades decision-makers through evidence-based recommendations.


• Results Orientation – Focused on delivering measurable impact in acquisition quality and volume.

Thank you for your interest in joining our team. We carefully review all applications, and if your qualifications meet our needs, we will contact you within 14 days. If you do not hear from us within this timeframe, please consider your application unsuccessful. We appreciate your understanding and encourage you to apply for future opportunities that match your skills and experience.

Eduvos is looking to hire the services of an Independent Contractor, Data Analysis Lecturer, at our Durban campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Data Analysis-related modules, in the Law faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum qualifications required:

• Honours degree in Statistics/ Data Science / Mathematics/ Computer Science/ Information Systems or a relevant qualification (A Masters qualification will be an advantage)

Experience:

• Minimum: 1 - 2 years relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Introduction to Data Analysis
• Computer Skills (All Levels)

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication

Eduvos
is looking to hire the services of an
Independent Contractor, Data Analysis Lecturer
,
at our
Durban
campus on a part-time basis.

Type Of Appointment
Independent Contractor (part-time; flexible workhours agreement)
Purpose

• To lecture Data Analysis-related modules, in the Law faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Overview

University: Heidelberg University
Country: Germany
Deadline:
Fields: Bioinformatics, Computer Science, Medical Technology, Image Analysis, Data Science

Are you passionate about harnessing the power of data science and image analysis to revolutionize medical diagnostics and patient care? This doctoral opportunity at the University Medical Center Mannheim, part of Heidelberg University, offers a PhD position in ophthalmology, working alongside clinicians and scientists to advance science and patient outcomes.

About The University or Research Institute

Heidelberg University is one of Germany’s oldest and most renowned institutions. Its Medical Faculty Mannheim, in partnership with the University Medical Center Mannheim, leads in medical research, education, and clinical care. The University Medical Center Mannheim serves a large regional footprint, with numerous clinics and institutes and a substantial staff, providing a rich environment for interdisciplinary research and professional growth. Mannheim is a vibrant city in southwestern Germany with strong links to Europe's research and industry networks.

The PhD focuses on developing and implementing advanced algorithms for ophthalmological image data analysis. The rapid expansion of imaging technologies has generated enormous, complex datasets. The project aims to address challenges such as integrating multimodal data and creating robust, scalable solutions to support more accurate diagnostics, personalized treatments, and improved patient outcomes. The research has implications for broader medical imaging, artificial intelligence, and healthcare innovation.

European and German PhD opportunities in related fields are listed on the official job advertisement and related research institution pages.

As a doctoral student in the Department of Ophthalmology, you will:

• Develop and implement algorithms for analyzing image data, including multimodal approaches where necessary.
• Co-develop solutions that integrate various image analysis algorithms.
• Collaborate closely with researchers and physicians in ophthalmology.
• Engage in regular reporting, data curation, data analysis, and quality management.
• Prepare scientific publications and contribute to third-party funding applications.

This is a fixed-term contract for three years, with the possibility of extension. The position offers a high level of responsibility, a diverse range of tasks, and the opportunity to work within an open-minded and motivated team. You will benefit from Heidelberg University’s internal educational programs, support for balancing family and career, and competitive remuneration according to the Collective Agreement for the Public Service of the Federal States (TV-L), including pension benefits.

Ideal Applicants Will Have

• A completed degree (diploma or master’s) in bioinformatics, computer science, medical technology, image analysis, or a comparable field.
• Solid knowledge in machine learning and computer vision.
• Experience with scientific workflows, including data collection, management, and statistical analysis.
• Excellent written and spoken German and English language skills.
• A dynamic, highly organized, and creative personality with a proactive and independent work style.

The University Medical Center Mannheim values diversity and is committed to equal opportunities. Severely disabled persons will be given priority in cases of equal suitability.

For further information, please refer to the official advertisement at the following link:

Application deadline:

Reference number: 899-076

If you are eager to advance your expertise at the intersection of data science, medical imaging, and clinical research, and wish to contribute to meaningful innovations in healthcare, this PhD position at Heidelberg University offers a unique platform. We encourage qualified and motivated candidates to apply and explore related opportunities in this dynamic field.

An important element of economic growth and transformation relates to the characteristics, determinants and behaviours of firms. Firms are the economic agents that interact at the micro level but ultimately shape aggregate economic trajectories.Firm level data has high potential for enhancing understanding of these interactions as the heterogeneous characteristics of firms are not masked.

The specific objectives of this request for research proposals are:

• To obtain policy-relevant research findings on the determinants of productivity, investment, employment, exports, profitability and output by different firms with different characteristics (incl. size, sector, ownership, export intensity, degree of competition faced, age, past behaviour, and skills makeup). Also, where possible, to examine dynamic decision making effects on outcomes.
• To obtain research findings relevant to government policy questions on the impact of tax incentives (e.g. research & development, MIDP, learnership, section 12I manufacturing) and non-tax incentives on investment, value-add, job creation, capital/labour intensity and growth.
• To obtain economic analyses that could improve policymakers’ insights on issues pertinent to base erosion and profit shifting, including but not limited to corporate leverage and structuring, interest expense in relation to earnings, and linkages between R&D expense and the creation of intangibles.
• To analyse depreciation allowances claimed by companies by asset class and/or sector, and how this relates to economic depreciation of assets.
• To obtain economic analysis that improves the understanding of tax behaviour of individuals and firms.

Researchers with successful proposals will gain access to generally inaccessible data sets located at the National Treasury, subject to agreed restrictions to preserve confidentiality. It is important to highlight that, as of this call, the data are only made available to researchers while physically on National Treasury premises in Pretoria.An inventory of potential data sets is appended to this RFRP.

Submission of proposals is done electronically using appropriate form on the left column of this page. There are three forms to select from; one for individuals, another for groups of individuals and a third one for NGOs. The deadline for submitting proposals is 29 February :59 EET. See full request for research proposals for detailed proposal submission details.

Any questions on the proposal process should be sent to 22February 2016. All queries and responses will be published on this announcement page after this date.

Join to apply for the Data Engineer role at Amaris Consulting

Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering.

We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!

We then proceed with Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you.

Depending on the position, we may ask you to take a Case study : This could be a role play, a technical assessment, a problem-solving scenario, etc.

We are seeking a skilled Data Engineer to join our dynamic team. In this role, you will work closely with data scientists to design, build, and maintain data pipelines and infrastructure that support our analytics and machine learning initiatives. Your creativity and innovative mindset will be essential in introducing new ideas and improving our data processes.

• Collaborate with data scientists to understand data requirements and develop efficient data pipelines.
• Design and implement data models and architectures using Hadoop.
• Utilize PowerBI for data visualization and reporting.
• Write and optimize SQL queries for data extraction and manipulation.
• Work with various data engineering tools to ensure data quality and accessibility.
• Contribute to the continuous improvement of data processes and workflows.
• Communicate effectively with team members and stakeholders to gather requirements and provide updates.

• Proven experience as a Data Engineer or in a similar role.
• Proficiency in Hadoop is crucial.
• Strong knowledge of PowerBI and SQL.
• Experience with different data engineering tools.
• Familiarity with Python is beneficial.
• Excellent communication skills, with the ability to convey complex ideas clearly.

• A collaborative and innovative work environment.
• Opportunities for professional growth and development.

Amaris Consulting is committed to promoting diversity within its workforce and creating an inclusive work environment. We consider applications from all qualified individuals, regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or any other characteristic.

Special attention will be given to candidates with disabilities.

mothers2mothers (m2m) is a proudly African NGO that unlocks the power of women to end health inequities. We employ, train, and support women living with HIV as frontline health workers across sub-Saharan Africa—called Mentor Mothers.

These women deliver life-saving health services, educate communities, and create brighter futures for millions of families. Since 2001, m2m has reached over 17 million women and children with critical health services and support, proving that when women lead, communities thrive.

The Data Engineer will be responsible for designing, developing, and maintaining our centralized data repository, as well as all data streams in and out of it. They will provide strategic and technical guidance for all measurement, digital transformation, and innovation.

The successful candidate will lead the Department of Programs and Technical Services (DPTS) into the production and availability of quality basic and disaggregated data and the strengthening of information systems and digital transformation for health as a fundamental pillar.

• Design and build data pipelines for multiple health information systems.
• Implement robust ETL processes for data extraction, transformation, and loading.
• Ensure all client-level data is stored in GCP in clean, structured, SQL-query able formats.
• Automate pipeline processes to minimize manual intervention and improve reliability.
• Monitor pipeline performance and troubleshoot issues as they arise.

• Develop and maintain scripts for seamless data integration between multiple systems.
• Create and optimize data integration workflows between various health information platforms.
• Ensure data consistency, quality, and integrity across integrated systems.
• Troubleshoot integration issues and implement corrective measures.

• Create and maintain databases for clean client-level and aggregated data.
• Automate data loading processes and trait generation.
• Support business intelligence tool implementation and reporting process optimization.

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related technical field.
• Professional certifications in cloud platforms (preferred).
• Minimum 3 years in data engineering or similar technical roles.
• Experience with large-scale data processing and transformation.
• Health sector or NGO experience (advantageous).