Active Jobs at Network Recruitment

About the job

• Accuracy in every invoice. Confidence in every payment. Growth in every step.
• Step into a role as Creditors Clerk where your accounts payable expertise truly makes a difference. You’ll become part of a dynamic finance team that values precision, collaboration, and ongoing growth. This is more than just an accounts payable position — it’s your opportunity to thrive in a stable, well-established company that offers the support, structure, and career development you deserve. If you take pride in keeping operations running smoothly behind the scenes and appreciate a workplace that’s both professional and approachable, this could be your next career move.

Duties:

• Full creditors function
• Perform creditors reconciliations and resolve discrepancies
• Process supplier invoices accurately and timeously
• Maintain internal controls within the accounts payable process
• Analyze and resolve pricing discrepancies on invoices 
• Manage end-to-end accounts payable function, including payments 

Job Experience & Skills Required:

Qualifications: 

• Completed diploma or Certificate required 
• Completed BCom degree would be beneficial

Experience:

• 1-2 years’ experience required
• Experience within the stock or inventory industry preferred 
• Comfortable working with Sage and Excel

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• Are you passionate about using data to solve real-world problems—especially in the credit and collections space? We're looking for a Senior Analyst with solid experience in credit collections to lead strategic insights, build smart models, and help drive performance in a high-impact, fast-paced environment.

What You’ll Do:

• Design and implement predictive collections models across the customer lifecycle.
• Analyze portfolio data to identify risks, trends, and performance drivers.
• Create monthly targets and scorecards, and track results to support strategic decision-making.
• Work closely with data and BI teams to ensure meaningful dashboards and reporting.
• Mentor junior team members and help build a culture of learning and improvement.

What We’re Looking For:

• A degree in Statistics, Mathematics, Computer Science, Actuarial Science, or a related field.
• 5+ years' experience in credit risk, collections strategy, or data analytics.
• Strong skills in SQL (essential), and familiarity with R, Python, Power BI, or Tableau.
• Someone who enjoys turning complex data into practical solutions and strategies.

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About the job

• Contribute to all phases of the software development lifecycle, from requirements gathering to deployment.
• Assist in project planning, monitoring progress, and ensuring timely delivery of milestones.
• Debug and troubleshoot software issues, proposing and implementing effective solutions.
• Participate in code reviews to maintain code quality and adherence to coding standards.
• Stay informed about industry trends and emerging technologies relevant to the field.
• Support of Software Systems and project implementation.

Requirements:

• Bachelor’s degree in computer engineering, University of Pretoria
• Strong problem-solving skills and attention to detail.
• Eagerness to learn and adapt to new technologies.
• Solid understanding of programming languages such as C#, Javascript.
• Familiarity with MS SQL Server and proficiency in SQL (T-SQL) query language would be beneficial.
• Familiarity with software development methodologies and best practices.
• Basic knowledge of hardware systems and computer architecture.
• Excellent communication and teamwork abilities.

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Hey, you!

• Yes, you, the data whisperer, spreadsheet wrangler, and part-time statistician with a talent for translating chaos into clarity. If you live for patterns, probabilities, and purpose-driven insights, we’ve got a seat for you.
• We're on the lookout for a Data Scientist/Statistician who isn’t afraid to go beyond the obvious. Someone who can blend classical statistics with modern data science magic—without losing sight of the humans behind the numbers.

What you'll actually be doing:

• Designing sampling frameworks that are more thoughtful than a first date text.
• Turning messy data into sharp, actionable stories (no robots writing soulless reports here).
• Building statistical models and data architecture that could make even your past-self jealous.
• Collaborating with sales, client partners, and internal teams to make real business impact.
• Keeping up with the cool kids—new AI tools, machine learning methods, and smart automation.
• Making clients go, “Wow, I never thought of it that way!”

What we’d love you to bring:

• A postgrad degree in Statistics, Mathematics, or Data Science.
• 3–5 years of solid statistical research and hands-on data science experience.
• Fluency in tools like Python, R, SPSS, SQL—and the wisdom to know when not to overfit a model.
• The ability to tell a story with numbers and turn insights into decisions.
• A bit of geek, a bit of guts, and a whole lot of get-things-done energy.