Data Analyst - Business Intelligence

Placements24; Upington; Hybrid; ZAR 350,000 - 550,000; Full time

Benefits offered by this job

Competitive salary

Performance-based raises

Medical aid

Retirement fund contributions

Professional development opportunities

Hybrid work model

Job summary

Placements24 is seeking a detail-oriented Data Analyst to join its Business Intelligence team in Upington. You will collect, clean, analyze, and interpret complex datasets to provide actionable insights that inform business decisions.

You will work with stakeholders to translate data needs into reports and dashboards using Power BI, Tableau, or Qlik Sense, and collaborate across departments to support data governance and performance monitoring.

Qualifications

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or related field.
• 2+ years of experience as a Data Analyst or similar role.
• Proficiency in SQL, Python, or R.
• Experience with BI tools (Power BI, Tableau, Qlik Sense) for reporting and visualization.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and presentation abilities.

Responsibilities

• Collect, clean, and transform data from various sources to ensure accuracy and integrity.
• Develop and maintain BI reports, dashboards, and visualizations using Power BI, Tableau, or Qlik Sense.
• Analyze trends, patterns, and KPIs to identify opportunities and risks.
• Interpret complex data sets and communicate findings clearly to technical and non-technical audiences.
• Collaborate with departments to understand data requirements and provide analytic support.
• Assist in defining data requirements and contribute to data governance initiatives.

Skills

Analytical skills

Attention to detail

Communication skills

Problem solving

Data interpretation

Education

Bachelor's degree

Tools

SQL

Python

R

Power BI

Tableau

Qlik Sense

Job description

About the Role

Our client is seeking a detail-oriented and analytical Data Analyst to join their Business Intelligence team in Upington . In this role, you will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets to provide actionable insights that drive business decisions. You will work with various stakeholders to understand their data needs and translate them into reports, dashboards, and visualizations. This hybrid position offers a valuable opportunity to develop your analytical skills within a supportive team environment, contributing directly to the company's strategic planning and performance monitoring.

Key Responsibilities

• Collect, clean, and transform data from various sources to ensure accuracy and integrity.
• Develop and maintain business intelligence reports, dashboards, and visualizations using tools like Power BI, Tableau, or Qlik Sense.
• Analyze trends, patterns, and key performance indicators (KPIs) to identify business opportunities and risks.
• Interpret complex data sets and communicate findings clearly and concisely to both technical and non-technical audiences.
• Collaborate with different departments to understand their data requirements and provide relevant analytical support.
• Assist in defining data requirements and contribute to data governance initiatives.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• 2+ years of experience as a Data Analyst or in a similar role.
• Proficiency in data analysis tools and programming languages such as SQL, Python, or R.
• Experience with Business Intelligence tools (e.g., Power BI, Tableau, Qlik Sense) for data visualization and reporting.
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Excellent communication and presentation skills, with the ability to explain complex data insights effectively.

Benefits

• Competitive salary and opportunities for performance-based raises.
• Comprehensive medical aid and retirement fund contributions.
• Professional development opportunities, including training on new analytical tools.
• A hybrid work model that balances office collaboration with remote flexibility.
• A supportive and team-oriented work environment in Upington .
• Exposure to diverse business challenges and data sets.