Hybrid Data Insights Analyst — Entry-Level (Graduate)

Placements24; Mossel Bay; Hybrid; ZAR 180,000 - 240,000; Full time

Benefits offered by this job

Competitive graduate salary

Medical aid

Retirement fund contributions

Training & mentorship

Hybrid work model

Job summary

Placements24 is seeking bright, analytical graduates to join a Mossel Bay analytics team. This hybrid role blends on-site collaboration with remote flexibility, offering hands-on experience in collecting, cleaning, and analyzing datasets to support data-driven decisions.

You will build dashboards, apply statistical techniques, and communicate findings to stakeholders while growing your skills under senior data scientists in a supportive, growth-oriented environment.

Qualifications

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics or CS.
• Proficiency in SQL and at least one programming language (Python or R).
• Experience with data visualization tools like Tableau or Power BI is preferred.

Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Perform data analysis using statistical techniques and data mining tools.
• Identify trends, patterns, and anomalies within datasets.
• Develop dashboards and reports to visualize data findings.
• Communicate insights and recommendations to stakeholders.
• Collaborate with cross-functional teams to understand data needs.
• Ensure data quality and integrity throughout the analysis process.

Skills

SQL

Python

R

Data visualization

Statistics

Communication

Hybrid work

Mossel Bay

Education

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

Tools

Tableau

Power BI

Job description

Placements24 is seeking bright, analytical graduates to join a Mossel Bay analytics team. This hybrid role blends on-site collaboration with remote flexibility, offering hands-on experience in collecting, cleaning, and analyzing datasets to support data-driven decisions.

You will build dashboards, apply statistical techniques, and communicate findings to stakeholders while growing your skills under senior data scientists in a supportive, growth-oriented environment.