Data Analytics Specialist Jhb - North

Pillangó Placements; Gauteng; On-site; ZAR 300 000 - 400 000; Full time

Job summary

Join a forward-thinking company as a Data Analytics Specialist, where you will leverage cutting-edge analytical methods and technologies to solve complex problems. This role emphasizes collaboration with internal teams and external clients, ensuring that data-driven solutions provide measurable business value. You will create algorithms and machine learning models, build monitoring systems, and present insights to stakeholders. If you are passionate about data and eager to contribute to a dynamic environment, this opportunity is perfect for you, offering a chance to make a significant impact in the analytics field.

Qualifications

• At least two years of relevant experience in a high-paced environment.
• Proficiency in SQL, Python or R, and experience with data science model deployment.

Responsibilities

• Engage with internal clients to understand their needs and find solutions.
• Develop algorithms and machine learning models to enhance products.

Skills

SQL

Python

R

Analytical Skills

Communication Skills

Problem-Solving

Education

Undergraduate degree in Mathematics

Undergraduate degree in Statistics

Undergraduate degree in Engineering

Undergraduate degree in Physics

Undergraduate degree in Finance

Undergraduate degree in Economics

Tools

PowerBI

Data Studio

Excel

GCP

Azure

Job description

Reference :

PTA-CB-1

Position: Data Analytics Specialist

As a Data Analytics Specialist, you will be at the forefront of employing leading analytical methods and technologies, ensuring that you're always working with cutting-edge tools and approaches to solve complex problems.

Duties & Responsibilities

The purpose of the position is:

• To contribute excitedly and passionately to our client's data-driven culture, helping the business to generate meaningful value from data.
• To partner with internal teams and external clients to deeply understand their needs, and help to guide, design and build robust, innovative, analytical solutions.
• Ensure all initiatives in the portfolio have measurable business value and are prioritized accordingly.

Role Description

• Engage with internal business clients to understand their questions and needs, to find the best solutions.
• Act as a communication bridge between business and technical teams to retain business context in analytical solutions.
• Develop a deep understanding of the business and data to propose new solutions adding business value.
• Collaborate with data provisioning teams to ensure reliable, consistent, and rich data assets.
• Create algorithms and machine learning models to enhance products and solve problems.
• Build monitoring and anomaly detection systems for model performance.
• Present data science opportunities and outcomes to stakeholders with varied data understanding.
• Manage client expectations via high-level project planning, interactions, and feedback.

Qualifications & Experience

• Undergraduate degree/diploma in Mathematics, Statistics, Engineering, Physics, Finance, Economics, or similar.
• Proficiency in SQL, Python or R.
• Experience with data science model deployment on-premises or in the cloud (GCP or Azure preferred).
• Understanding of statistics, regression analysis, and machine learning (supervised and unsupervised).
• At least two years of relevant experience, preferably in a high-paced environment.
• Experience working with stakeholders across technical, sales, and customer experience teams.
• Experience in delivering analytics, data science, and BI projects at various scales.
• Knowledge of BI tools like PowerBI, Data Studio, and intermediate Excel skills.

Skills & Attributes

• Strong analytical, modeling, and reporting skills.
• Excellent communication and engagement skills.
• Ability to identify deep business questions and needs.
• Attention to detail and commitment to high-quality analytics and MLOps solutions.
• Ownership mindset for initiatives, focusing on business value.
• Proactive problem-solving and opportunity identification skills.
• Desire for continuous learning and self-improvement.

Additional Notes

We only accept online applications. We do not consider applications via WhatsApp or email. The final salary will depend on market standards, qualifications, skills, and experience. The employer retains the right to determine the remuneration package.

Package & Remuneration

R - R - Monthly