Remote Junior Data Analyst - Growth & Impact

Placements24; KwaZulu-Natal; Remote; ZAR 230,000 - 320,000; Full time

Benefits offered by this job

Remote onboarding

Performance-based bonuses

Professional development and certs

Generous annual leave

Access to cutting-edge technology

Job summary

Placements24 in KwaZulu-Natal is seeking a Junior Data Analyst to turn raw data into actionable insights for diverse clients. You will clean datasets, perform exploratory analysis, and build dashboards for stakeholders, all within a supportive, remote-first environment.

The ideal candidate is a recent graduate with a quantitative degree and strong SQL/Python or R skills, plus a passion for data, problem solving, and collaboration in a fast-growing tech consultancy.

Qualifications

• Recent graduate with a quantitative degree.
• Strong knowledge of SQL, Python (Pandas, NumPy) or R.
• Experience with data visualization tools is a plus.

Responsibilities

• Collecting, cleaning, and organizing large datasets from various sources.
• Performing exploratory data analysis to identify trends, patterns, and anomalies.
• Developing and implementing data validation processes to ensure data integrity.
• Creating reports, dashboards, and visualizations to communicate findings to stakeholders.
• Assisting senior analysts in developing predictive models and analytical solutions.
• Collaborating with cross-functional teams to understand data needs and provide analytical support.
• Maintaining documentation for data processes, analyses, and reports.
• Staying updated with the latest data analysis tools and techniques.

Skills

Analytical mindset

Strong communication

Remote teamwork

Education

Statistics/Mathematics/CS/Economics degree

Tools

SQL

Python (Pandas/NumPy)

R

Tableau

Power BI

Job description

Placements24 in KwaZulu-Natal is seeking a Junior Data Analyst to turn raw data into actionable insights for diverse clients. You will clean datasets, perform exploratory analysis, and build dashboards for stakeholders, all within a supportive, remote-first environment.

The ideal candidate is a recent graduate with a quantitative degree and strong SQL/Python or R skills, plus a passion for data, problem solving, and collaboration in a fast-growing tech consultancy.