Graduate Data Analyst

Placements24; Gqeberha; Hybrid; ZAR 240,000 - 360,000; Full time

Benefits offered by this job

Competitive pay + bonuses

Fully remote workplace

Access to analytics tools

Professional development opportunities

Conferences attendance and knowledge分享

Job summary

Placements24 is seeking enthusiastic and analytically minded Graduate Data Analysts to join their expanding, fully remote team. This role focuses on uncovering insights from data, transforming complex information into actionable strategies, and working with large datasets using modern analytical tools.

You will develop data models, create visualizations and dashboards, and collaborate with business units to support data-driven decision-making while building a robust skillset in analytics and

Qualifications

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proficiency in data manipulation and analysis tools such as Python (Pandas, NumPy) or R.
• Experience with SQL for data extraction and manipulation.
• Familiarity with data visualization tools like Tableau, Power BI, or similar.
• Strong problem-solving skills and a meticulous approach to data accuracy.
• Excellent communication skills, adapted for effective collaboration in a remote environment.

Responsibilities

• Collect, clean, and process large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement data models and algorithms to support business objectives.
• Create visualizations and dashboards to communicate findings to stakeholders effectively.
• Collaborate with business units to understand data needs and provide analytical support.
• Stay updated with the latest trends and technologies in data analysis and machine learning.

Skills

Python (Pandas, NumPy)

SQL

R

Communication

Education

Bachelor's or Master's in a quantitative field

Tools

Tableau

Power BI

Job description

About the Role

Our client is seeking enthusiastic and analytically minded Graduate Data Analysts to join their expanding, fully remote team. This role is perfect for individuals passionate about uncovering insights from data and transforming complex information into actionable strategies. You will work with large datasets, utilizing modern analytical tools and techniques to support data-driven decision-making across the organization. This is a fully remote position, offering the flexibility and autonomy to work from anywhere while contributing to critical business projects and developing a robust skillset in data analysis and visualization.

Key Responsibilities

• Collect, clean, and process large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement data models and algorithms to support business objectives.
• Create visualizations and dashboards to communicate findings to stakeholders effectively.
• Collaborate with business units to understand data needs and provide analytical support.
• Stay updated with the latest trends and technologies in data analysis and machine learning.

Requirements

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proficiency in data manipulation and analysis tools such as Python (Pandas, NumPy) or R.
• Experience with SQL for data extraction and manipulation.
• Familiarity with data visualization tools like Tableau, Power BI, or similar.
• Strong problem-solving skills and a meticulous approach to data accuracy.
• Excellent communication skills, adapted for effective collaboration in a remote environment.

Benefits

• Competitive salary and performance-based bonuses.
• Flexible working hours and a fully remote work environment.
• Access to state-of-the-art analytics tools and platforms.
• Opportunities for professional development, certifications, and conference attendance.
• Contribution to meaningful projects that impact business strategy.
• Supportive team culture focused on knowledge sharing and innovation.