Are you a detail-driven, analytical thinker with a passion for financial data? A dynamic team in Rosebank is looking for a Junior Data Analyst to transform complex financial datasets into actionable business insights. This role offers the chance to build high-impact dashboards and work directly with cross-functional teams to drive smarter decision-making.
Position Details
- Location: Rosebank, Johannesburg
- Experience Level: Graduate / Junior (0–2 years)
- Core Tools: SQL, Python/R, Power BI/Tableau
Requirements to Apply
The successful candidate will have a strong mathematical or technical foundation:
- Education: Bachelor’s Degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, or Industrial Engineering.
- Technical Stack:
- Strong proficiency in SQL for data extraction.
- Programming skills in Python or R.
- Mastery of Advanced Excel (Pivot tables, VLOOKUPs, etc.).
- Visualisation: Experience using Power BI or Tableau to build interactive dashboards.
- Attributes: Strong analytical thinking and the ability to explain technical findings to non-technical teams.
Your Key Responsibilities
In this role, you will be the bridge between raw data and financial strategy:
- Data Management: Collect, clean, and manage financial data from various internal and external sources.
- Trend Analysis: Scrutinize datasets to identify emerging trends, potential risks, and financial anomalies.
- Reporting: Develop and maintain the dashboards that the Finance and IT teams use for daily performance monitoring.
- Optimization: Identify ways to improve data quality and streamline existing reporting processes.
- Collaboration: Partner with operational teams to support data-driven strategies.
How to Apply
The recruiters are looking for a complete picture of your potential. Ensure you include all three required documents:
- Updated CV: Highlight any internships or university projects involving data cleaning or financial modeling.
- Academic Transcript: Essential for proving your proficiency in the required disciplines.
- Copy of Degree: Proof of qualification.
Send your application to: info@curiska.co.za
Career Advice: The “Finance Data” Edge
- Context is King: In financial data analysis, a “trend” isn’t just a line on a graph—it represents money, risk, or opportunity. In your interview, show that you understand the business impact of the data you are analyzing.
- Clean Data > Fancy Models: Most of your time will be spent cleaning messy financial data. Mentioning your “data wrangling” skills or your process for ensuring data integrity will impress technical managers more than just mentioning complex algorithms.
- Visual Storytelling: A CFO doesn’t want to see a wall of numbers; they want to see a story. Practice building a dashboard that answers a specific question, like “Why did our costs increase last month?”
Possible Interview Questions
Technical & Analytical
- “Which SQL join would you use to combine a list of customers with their specific transaction history, and how would you handle customers who have made no transactions?”
- “Explain a time you found an ‘anomaly’ in a dataset. What was it, and how did you resolve it?”
Commercial
- “If you were asked to build a dashboard for a Finance Director, what are the top three KPIs (Key Performance Indicators) you would include?”