Data Analyst

Placements24; Sandton; On-site; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Professional development

Paid time off

On-site collaboration

Job summary

Placements24 in Sandton is seeking a meticulous Data Analyst to join the team. You will transform raw data into actionable insights and work closely with business stakeholders to drive decisions.

You will collect, clean, and analyze data using SQL, Python or R, and visualise results with Tableau or Power BI to support strategic initiatives.

Qualifications

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics or Computer Science.
• At least 2 years of data analysis experience.
• Proficiency with SQL, Excel, and either R or Python for analysis.

Responsibilities

• Collect, clean, and process large datasets from diverse sources.
• Analyze data with statistical techniques to identify trends and insights.
• Develop and maintain dashboards and reports for KPIs.
• Collaborate with stakeholders to define data requirements.
• Communicate findings clearly to technical and non-technical audiences.

Skills

Analytical thinking

Problem-solving

Critical thinking

Education

Bachelor's degree in Statistics/Mathematics/Economics/Computer Science

Tools

SQL

Excel

Python (Pandas/Numpy)

R

Tableau

Power BI

Job description

About the Role

Our client is looking for a meticulous and analytical Data Analyst to join their growing team in Sandton . This role is crucial in transforming raw data into actionable insights that drive business decisions. You will work closely with various departments to understand their data needs, collect, clean, and analyze data, and present findings in a clear and concise manner. This is an on-site position, fostering direct collaboration and integration with business stakeholders. We are seeking an individual with a strong quantitative background and a passion for uncovering trends and patterns within complex datasets to support strategic initiatives.

Key Responsibilities

• Collect, clean, and process large datasets from various sources.
• Perform data analysis using statistical techniques and tools to identify trends, patterns, and insights.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs).
• Collaborate with stakeholders to understand data requirements and provide analytical support for business initiatives.
• Communicate findings and recommendations clearly and effectively to both technical and non-technical audiences.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• 2+ years of experience in data analysis or a related role.
• Proficiency in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python with libraries like Pandas, NumPy).
• Experience with data visualization tools like Tableau or Power BI is a plus.
• Strong analytical, problem-solving, and critical thinking skills.

Benefits

• Competitive annual salary and potential for performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and training in data science and analytics.
• Generous paid time off and company holidays.
• A collaborative on-site work environment with exposure to diverse business challenges.