If you’re ready to take the next step in your data analytics career and contribute to impactful projects in a dynamic environment, we want to hear from you! Apply now to become our next Junior Data Analyst and embark on a journey of discovery and innovation with us.

REQUIREMENTS:

• Recognised three-year degree, preferably in Statistics, Business Analytics, or other data-related fields or an Honours degree in Psychology or Social Sciences discipline.
• One year in a Data Analyst or similar role, ideally within a market research, marketing, or consumer insights organisation.
• Working knowledge of descriptive and some predictive statistics.
• Working experience with data analysis tools would be advantageous e.g. Microsoft Power BI, Tableau, SPSS, Q.
• Proficient in Microsoft Office tools; specifically, MS Teams, MS Outlook, PowerPoint, and Word.
• Advanced proficiency in Microsoft Excel, with skills including creating and using pivot tables, slicers and VLOOKUP’s, are advantageous.

COMPETENCIES: 

• Analytical and critical thinking skills.
• Extreme attention to detail and methodical approach.
• Strong problem-solving abilities and independent decision-making.
• Numeracy and organisational skills.
• Resourcefulness and adaptability.
• Effective communication and project management skills.
• Ability to multitask and work independently in a remote environment.

ROLES & RESPONSIBILITIES: 

• Data Visualization & Automation: Creating visual outputs for statistical analysis, including producing reports, maintaining and generating automated reports and dashboards.
• Analytics: Supporting research insights delivery through statistical analysis, including tasks like data cleaning, processing free text, setting up data in statistical tools, running analyses, and updating presentations.
• Quality & Improvement: Ensuring consistent quality and continuous improvement by approaching tasks with a quality mindset, identifying and resolving issues, conducting quality control, and contributing to workflow efficiency enhancements.
• Administration: Carrying out administrative tasks related to analytics activities, such as applying standard operating procedures, managing workload and projects independently, and using project management tools for task tracking.