Junior Data Analyst / Engineer (Jb4854)

Details of the offer

Junior Data Analyst / Engineer (JB4854) Alberton, Gauteng R10 000 to R15 000 a month CTC Contract 6 to 12 months, which may become permanent A company committed to leveraging technology for data-driven insights and strategic intelligence solutions, offering comprehensive analytics and resources tailored to enhance decision-making and organizational growth, is looking for a Junior Data Analyst to join their Team. You will need basic understanding and some experience working with SQL, Azure, Power BI, and R or Python for data analysis and statistical modeling Minimum Requirements: Bachelors degree in Computer Science, Information Technology, Statistics, or a related field. An advanced degree in Data Science, Analytics, or a related field is highly advantageous Basic understanding and some experience working with SQL, Azure, Power BI, and R or Python for data analysis and statistical modeling Familiarity with data warehouse concepts, including ETL processes and data architecture Critical thinker with strong problem-solving skills, self-motivated, assertive, and proactive, with excellent communication skills for translating complex data into understandable insights Familiarity with additional data visualization tools or programming languages is preferred Professional development and career growth opportunities, flexible working hours and remote options, hands-on experience in an entrepreneurial environment, and performance-based incentives Participate in performance reviews every 3 months to assess progress and potential for a full-time position based on outcomes Duties and Responsibilities: Develop, optimize, and maintain SQL queries for data extraction, transformation, and analysis Utilize Power BI to design, develop, maintain, and deploy interactive dashboards Build and understand data workflows to meet SQL, Power BI, and Azure requirements Perform data analysis and statistical modeling using R or Python libraries, as required Engage with customers to understand and document business requirements, translating them into effective technical solutions Ensure data integrity and accuracy by adhering to data governance best practices Implement and manage data warehouse procedures, including ETL processes, to support business intelligence and reporting needs Participate in performance reviews every 3 months to assess progress and potential for a full-time position based on outcomes Please do not apply using Scanned CVs, no supporting documentation is required at this point, this will be requested later. Kontak Recruitment Disclaimer: Equal opportunity: All backgrounds are welcomed, with no bias. All are considered based on requirements. Job specifics: Requirements mirror advertisement, duties may adjust for client needs. Fair process: Fair assessment, only shortlisted candidates contacted due to volume. Privacy: Data processed as per Privacy Policy. By applying, you agree to data handling. We safeguard applicant info. Candidate verification: Candidates selected by the client are verified. False info may disqualify or end employment via the client. Offer clarity: Advert is not a binding offer. Written offers based on pre-employment conditions. No direct link: Advert is not tied to Kontak Recruitment. We assist in the employment process ONLY. Applicant Responsibility: Upon applying, confirmation of receipt for a specific advert is given. If no confirmation is received, you must verify with Kontak Recruitment. Bachelors degree in Computer Science, Information Technology, Statistics, or a related field. An advanced degree in Data Science, Analytics, or a related field is highly advantageous Basic understanding and some experience working with SQL, Azure, Power BI, and R or Python for data analysis and statistical modeling Familiarity with data warehouse concepts, including ETL processes and data architecture Critical thinker with strong problem-solving skills, self-motivated, assertive, and proactive, with excellent communication skills for translating complex data into understandable insights Familiarity with additional data visualization tools or programming languages is preferred Professional development and career growth opportunities, flexible working hours and remote options, hands-on experience in an entrepreneurial environment, and performance-based incentives Participate in performance reviews every 3 months to assess progress and potential for a full-time position based on outcomes


Nominal Salary: To be agreed

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