224 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.

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 Analytics and Data Analysis Lecturer, at our Vanderbijlpark campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Commerce-related modules, in the 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 in ITC
• Certificate in Power BI

Experience:

• Relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Data Analytics (Power BI)
• Data Analysis

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

Project:
Implementation Study on the Dapivirine Vaginal Ring

Location:
Remote

Duration:
12 months, part-time consultancy basis

Application Deadline:
20 October 2025

Background

An implementation study on the dapivirine vaginal ring (DVR) was conducted in South Africa, Kenya, Zimbabwe, Lesotho, Uganda and Eswatini. The study generated quantitative data on uptake, adherence, and user experiences. We are seeking a qualified Biostatistician to support data analysis for an implementation study on the dapivirine vaginal ring, a long-acting biomedical HIV prevention method. The consultant will analyze quantitative data on uptake, adherence, and user experiences, producing report and publication-ready results to inform regulatory, policy and programmatic decisions.

Scope of Work

· Review study protocol, objectives, and datasets.

· Develop and finalize a statistical analysis plan (SAP).

· Clean and merge datasets

· Conduct appropriate statistical analyses, including descriptive, inferential, and multivariable analyses

· Provide guidance on data quality, management, and handling of missing data.

· Generate report and publication-ready tables, figures, and outputs.

· Contribute to interpretation of findings and drafting of results sections for reports and manuscripts.

· Participate in virtual meetings with the study team as needed.

Deliverables

· Finalize statistical analysis plan.

· Clean and merge datasets

· Write reproducible code (Stata/R/SAS preferred) and conduct appropriate statistical analyses.

· Comprehensive results tables and figures (report and publication ready).

· Analytical report summarizing findings.

· Contributions to reports, manuscripts, policy briefs, and presentations as needed.

Qualifications

· Advanced degree (MSc) in Biostatistics, Statistics, or related quantitative field, PhD preferrable.

· Demonstrated experience in analyzing implementation science or public health studies.

· Proficiency in Stata, R, or SAS.

· Strong track record of peer-reviewed publications or reports.

· Familiarity with HIV prevention research and/or women's health interventions desirable.

· Excellent communication skills and ability to work collaboratively with multidisciplinary teams.

Level of Effort & Duration

Estimated 12 days per month (3 days/week) over 12 months (with flexibility based on agreed scope) from 01 November 2025 to 31 October 2026. Remote, with communication primarily via email/virtual meetings.

How to Apply

Interested applicants should submit:

1. Cover letter outlining relevant experience.

2. CV (max 4 pages).

3. Example(s) of previous analysis outputs (tables/figures/manuscript contributions).

4. Proposed daily or monthly consultancy rate.

Send applications to:

Deadline: 20 October 2025

This is a remote position.

Data Collation Specialist About the Role We're looking for a detail-oriented and organised Data Collation Specialist to join our client's team on a part-time remote basis. In this role, you'll be responsible for researching and sourcing contacts within specific business sectors, identifying key decision makers, and compiling accurate contact information including names, job titles, emails, and phone numbers. Your work will play a key role in supporting marketing, sales, and business development campaigns — ensuring the company has access to reliable, well-structured data.

Key Responsibilities

Source and verify contact information for professionals and decision makers within targeted sectors. Record and input data accurately into CRM systems or spreadsheets. Ensure accuracy and consistency across all collected data, cleaning and correcting any discrepancies. Organise and structure datasets logically for ease of access and analysis. Prepare data for reporting and analysis, supporting marketing and outreach activity. Maintain confidentiality and uphold data-handling best practices at all times.

About You You'll succeed in this role if you are:

Highly proficient in Microsoft Office (especially Excel and Outlook). Meticulous with attention to detail and data accuracy. Comfortable conducting online research and data verification. Organised, methodical, and self-motivated with good time management. Able to work independently in a remote, part-time capacity.

Job Description
The Data Scientist III (DSIII) plays a pivotal role in designing, building, and implementing advanced predictive models and analytical solutions to optimise collections strategies. This role is central to driving early warning systems, improving treatment effectiveness, and supporting strategic decision-making across the collections lifecycle.

Hello, Future Data Scientist III
Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.

As part of our talent team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now's the time to imagine your potential in a team where experts come together and ignite effective change.

Are You Someone Who Can

• Develop and deploy predictive risk models to inform early warning collections strategies.
• Monitor and evaluate the performance of collections campaigns and treatment strategies.
• Collaborate with product teams and senior stakeholders to align analytics with business objectives.
• Lead the design and implementation of models such as communication strategies, Quicksell, risk tool, attorney ranking systems, EDC ranking and recovery optimisation tools
• Provide mentorship to junior data scientists and contribute to capability upliftment within the team.
• Translate complex data into actionable insights to support operational and strategic decisions.

Skills & Competencies

• Strong statistical modelling and machine learning expertise (Python, R, SAS).
• Deep understanding of credit risk, collections processes, and regulatory frameworks.
• Ability to work independently and lead complex analytical initiatives.
• Strong stakeholder engagement and communication skills.
• Experience with data platforms (e.g., AWS, SQL, Power BI) and model governance.

You Will Be An Ideal Candidate If You Have

• BSc Honours in Mathematical Statistics, Actuarial Science, or related field.
• Minimum 5–7 years in data science or quantitative analytics, preferably in financial services.
• Prior experience in collections analytics or credit risk is highly advantageous.

You Will Have Access To

• Opportunities to network and collaborate.
• Challenging Working
• Opportunities to innovate.

We Can Be a Match If You Are

• Curious & courageous - you are driven by always wanting to know more and learn more and you are brave enough to
• Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it.

Are you interested to take the step? We look forward to engaging with you further. Apply now

*Job Details
Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below. *
10/10/25

All appointments will be made in line with FirstRand Group's Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

We are looking for an experienced intermediate Data Engineer. Candidate must have strong SQL & SSIS capabilities, good production support with experience for being on call on a 7-day rotation cycle. AWS cloud skills would be a massive benefit as well.

Skills & Experience Required:

Technical Stack:

• Strong proficiency in 
  SSIS (SQL Server Integration Services)
   – candidates should demonstrate extensive experience in developing, optimising, and maintaining SSIS packages in a production environment.
• Proven 
  ability to perform 24/7 on-call support
   and handle production support issues effectively and independently.
• Ability to balance operational responsibilities with new development – we're looking for someone who is not only strong in maintaining and supporting existing systems but also has the capability to drive and implement new projects independently.
• Self-starter with the confidence to take ownership of deliverables, proactively identify issues, and provide solutions without needing constant direction.
• Strong 
  SQL
   and 
  data modelling
   skills (dimensional and normalized)
• Proficient in 
  Python
   or 
  Scala
• Strong SSIS knowledge
• Experience with 
  Spark
   (PySpark preferred)
• Experience with 
  cloud platforms
  , ideally 
  AWS
   (e.g., S3, Glue, Athena, EMR)
• Knowledge of 
  data warehouse
   and 
  data lake
   architectures
• Exposure to 
  CI/CD pipelines
   and containerization (e.g., Docker, GitLab CI)

Production Support Requirements:

This role includes participation in a rotational production support schedule. The successful candidate must be willing and able to:

• Be on call every third week as part of a structured support roster.
• Respond to after-hours callouts, including late-night or early-morning alerts.
• Support and troubleshoot issues in the nightly batch process to ensure successful completion.
• Work collaboratively with operations and infrastructure teams to resolve time-sensitive issues under pressure.
• Maintain logs, escalate critical incidents, and ensure accurate handovers.
• This support responsibility is critical to ensure the availability and continuity of data services required by business users and systems across the enterprise.

Exact location – Rosebank, Firestation, walking distance to Gautrain Station

Responsibilities will include, but not be limited to the following:

• Develop and optimize data pipelines for collecting, processing, and storing large volumes of production and operational data.
• Play a pivotal role in documenting business processes, procedures, and policies for transparency and consistency.
• Design and implement scalable data architecture solutions tailored to production/operation environments.
• Collaborate with clients, project managers, engineers, and operators to understand data requirements.
• Ensure data integrity, security, and compliance with project requirements and outcomes.
• Monitor and troubleshoot data flow issues and optimize data processing workflows.
• Support the integration of IoT devices, sensors, and industrial systems with data platforms.
• Generate reports and dashboards to visualize real-time and historical data insights.
• Stay updated with the latest industrial data engineering tools and technologies.
• Travel to operational sites when required to ensure hardware and data capturing is functional.

Qualifications and experience:

• Bachelor's or master's degree in Computer Science, Data Engineering, Industrial Engineering, or related field.
• Proven experience in data engineering, especially in industrial or equipment operations settings.
• Strong proficiency in programming languages.
• Experience with cloud platforms and data tools (AVEVA, Power-BI)
• An understanding of the power platform, its functionalities, and its integration potential will be an advantage.
• Knowledge of IoT protocols and industrial automation systems.
• Familiarity with data modelling, ETL processes, and database management.
• Excellent problem-solving and communication skills.
• Attention to detail and a commitment to accuracy.