Senior Data Analyst

Placements24

Mbombela (Nelspruit)

Hybrid

ZAR 600,000 - 900,000

Full time

6 days ago
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Benefits offered by this job

Competitive salary
Health and retirement benefits
Flexible remote working
Professional growth
Training opportunities
Collaborative environment

Job summary

Placements24 is seeking a Senior Data Analyst to join their growing team, remotely serving clients near Nelspruit. You will collect, clean, and analyze large datasets to extract actionable insights and support data-driven decision making.

The role emphasizes SQL proficiency, data visualization with Tableau or Power BI, and clear communication of complex findings to technical and non-technical stakeholders. Remote work flexibility and opportunities for professional growth are offered.

Qualifications

  • Degree in a quantitative field (stats, math, CS, economics) required.
  • 5+ years of data analysis experience.
  • Proficiency in SQL and data visualization tools (Tableau/Power BI).

Responsibilities

  • Collect, clean, and transform large datasets from various sources to prepare them for analysis.
  • Perform statistical analysis, identify trends, and generate actionable insights to support business objectives.
  • Develop and maintain dashboards and reports using data visualization tools to present findings effectively.
  • Collaborate with different departments to understand data needs and provide analytical support.
  • Identify opportunities for process improvements and efficiency gains through data analysis.
  • Stay current with emerging trends and technologies in data analytics and business intelligence.

Skills

SQL
Data visualization
Statistical analysis
Communication
Problem solving

Education

Bachelor's or Master's degree in Statistics/Mathematics/CS/Economics

Tools

Tableau
Power BI

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Senior Data Analyst to join their growing team, remotely serving clients based near Nelspruit . This role is essential for extracting meaningful insights from complex datasets, driving data-informed decision-making across the organization. You will be responsible for collecting, cleaning, analyzing, and interpreting data to identify trends, patterns, and opportunities. The ideal candidate possesses strong technical skills in data manipulation and visualization, combined with excellent communication abilities to present findings clearly to stakeholders.

Key Responsibilities
  • Collect, clean, and transform large datasets from various sources to prepare them for analysis.
  • Perform statistical analysis, identify trends, and generate actionable insights to support business objectives.
  • Develop and maintain dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to present findings effectively.
  • Collaborate with different departments to understand their data needs and provide analytical support.
  • Identify opportunities for process improvements and efficiency gains through data analysis.
  • Stay current with emerging trends and technologies in data analytics and business intelligence.
Requirements
  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • 5+ years of experience in data analysis or a similar role.
  • Proficiency in SQL for data extraction and manipulation.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Strong understanding of statistical analysis techniques and data modeling.
  • Excellent problem-solving skills and the ability to communicate complex findings clearly to technical and non-technical audiences.
  • Remote work experience is highly valued for this position supporting our team near Nelspruit .
Benefits
  • Competitive salary and performance-based bonuses.
  • Comprehensive health and retirement benefits.
  • Opportunities for professional growth and advanced training.
  • Flexible remote working arrangements.
  • A collaborative and intellectually stimulating work environment.
  • Contribute to data-driven strategy from anywhere.
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