Job Description
- Explore and prepare structured & unstructured financial data
- Support machine learning model development and anomaly detection
- Build reports and dashboards (Power BI) to share insights
- Collaborate with analysts, engineers, and business teams to deliver actionable solutions
- Contribute to automation tools that streamline operations
Key Requirements & Skills: What we’re looking for:
- Bachelor’s degree in Data Science, Statistics, Finance, Economics, Computer Science, or related field
- 0–2 years of experience in data analysis or data science (finance industry exposure a plus)
- Proficiency in Python (pandas, matplotlib, scikit-learn)
- Familiarity with SQL, Power BI, and Excel
- Strong analytical mindset with excellent communication skills
What’s in it for you
- Real-World Impact: Your work helps protect assets and optimize investments.
- Mentorship: Work alongside seasoned pros who want to see you grow.
- Career Growth: Professional development and keeping your skills sharp.
- The Perks: Competitive salary, retirement plan, and a dynamic office culture.
If you’re obsessed with Python, love a clean dataset, and want to see your code make a real-world impact, this is your launchpad.
Apply now!
For more IT jobs, please visit .za
I also specialise in recruiting in the following:
Software Development
Data Engineer
Data Analyst
Infrastructure
Architecture
… and more!
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
For more information contact:
Evandria Rademeyer
Researcher
.za
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About Datacapturing Jobs in Western Cape
In the Western Cape region of South Africa, the data capturing industry is typically thriving, with a high demand for skilled professionals to manage and process large datasets. This trend is often driven by the growth of various sectors such as technology, financial services, and manufacturing, which rely heavily on accurate and efficient data management.
Typically, salaries for data capturing positions in Western Cape fall within broad ranges, often starting at around R400 000 to R600 000 per annum, depending on factors such as experience, company size, and industry sector. However, it is essential to note that actual salaries can vary significantly, and these figures should be used only as a rough guide. Experience, qualifications, and specific job requirements also play a significant role in determining salary ranges.
Common skills required for data capturing roles include proficiency in data management software, analytical skills, attention to detail, organizational abilities, effective communication skills, and a basic understanding of database principles. Additionally, familiarity with industry-specific regulations and standards is often beneficial. Generally, companies look for candidates who possess a combination of technical, business, and interpersonal skills.
Data capturing roles are commonly found in various industries, such as financial services, technology, manufacturing, and healthcare. These sectors require accurate data management to inform decision-making, optimize processes, and improve overall performance. Often, companies seek candidates with experience in managing complex datasets, developing data visualizations, and ensuring data quality and integrity.
In terms of career development, data capturing professionals can expect opportunities for growth and advancement within their current roles or by transitioning into related fields such as data analysis, business intelligence, or project management. Generally, experience, certifications, and continued education can enhance career prospects and salary potential. By acquiring the necessary skills and staying up-to-date with industry trends, individuals in this field can build a rewarding and challenging career.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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