Remote Data Scientist — Analytics & Modeling Expert

Crossing Hurdles; South Africa; On-site; ZAR 300,000 - 500,000; Full time

Job summary

Crossing Hurdles is looking for a data analyst in South Africa. The role involves collecting, cleaning, and analyzing diverse data sets to derive actionable insights. Candidates should have strong experience in statistics, programming skills in Python or R, and proficiency in data visualization tools like Tableau or Power BI.

The ideal applicant will collaborate closely with team members, ensuring efficient data workflows while continually improving methodologies.

Qualifications

• Strong relevant experience in statistics, mathematics, and data analysis techniques.
• Proven experience in collecting, handling, and cleaning large, complex data sets.
• Proficient in programming languages such as Python or R for data manipulation and modeling.
• Strong data modeling skills with experience in building and validating predictive models.
• Advanced ability to visualize data using tools like Tableau or Power BI.

Responsibilities

• Collect, clean, and preprocess diverse data sets for analysis.
• Develop and implement statistical models for actionable insights.
• Conduct exploratory data analysis to identify trends and opportunities.
• Present findings through compelling data visualizations and reports.
• Collaborate with team members on end-to-end data projects.
• Continuously improve analytical methodologies and automation processes.

Skills

Statistics

Data cleaning

Data visualization

Python

R

Tools

Tableau

Power BI

Job description

Crossing Hurdles is looking for a data analyst in South Africa. The role involves collecting, cleaning, and analyzing diverse data sets to derive actionable insights. Candidates should have strong experience in statistics, programming skills in Python or R, and proficiency in data visualization tools like Tableau or Power BI.

The ideal applicant will collaborate closely with team members, ensuring efficient data workflows while continually improving methodologies.