Where

Data Analyst

Executive Placements
Johannesburg Full-day Full-time

Description:

New job opportunity - Data Analyst with consultant and management company

Data Analyst Are you a data-driven problem solver eager to turn complex information into meaningful insights? This is your opportunity to work with impactful data, cutting-edge tools, and a forward-thinking team that values innovation and real-world results.
Company and Job Description
A dynamic and innovative organisation is seeking a high-performing Data Analyst to join its growing team on a full-time, office-based basis in Centurion, Pretoria. The successful candidate will play a key role in transforming data into actionable insights that support strategic decision-making and meaningful projects with real impact.
This role offers the chance to grow your technical capabilities, gain exposure to modern data practices, and contribute to solutions that address real-world challenges. If you are passionate about analytics and want your work to make a difference, this opportunity is for you.
Whats in it for you? Competitive remuneration, exposure to advanced data environments, and the opportunity to work on projects that truly matter.
Key Responsibilities
Analyse large and complex datasets to identify trends, patterns, and actionable insights. Design, develop, and maintain dashboards, reports, and data visualisations for stakeholders. Manage and optimise data pipelines to ensure data accuracy, integrity, and availability. Collaborate with developers and cross-functional teams to support data integration, automation, and analytics initiatives. Utilise cloud-based platforms and statistical tools to support advanced data analysis and modelling. Present analytical findings and recommendations clearly to both technical and non-technical audiences. Job Experience & Skills Required / Ideal Candidate Profile
Education:
Bachelors degree (completed or in progress at postgraduate level) in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience:
Exposure to data analysis through internships, academic projects, or professional experience. Experience working with large datasets and translating business requirements into data-driven solutions. Skills:
Strong proficiency in Python and R. Solid understanding of data analysis techniques and statistical methodologies. Familiarity with data visualisation tools such as Power BI or Tableau. Exposure to cloud platforms, preferably Azure. Strong communication skills and the ability to explain complex data concepts clearly. Advantageous:
Basic understanding of ma
13 Feb 2026;   from: gumtree.co.za

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