Entry-Level Data Analyst Graduate Opportunity

Placements24; Midrand; Hybrid; ZAR 240,000 - 420,000; Full time

Benefits offered by this job

Home office stipend

Competitive salary

Training programs

Flexible hours

Career progression

Job summary

WhatJobs Direct is seeking motivated graduates for an Entry-Level Data Analyst position. This fully remote role offers the chance to turn raw data into actionable insights that guide strategic decisions.

You will work on diverse projects, learn modern analytics tools, and communicate findings to non-technical stakeholders. A supportive, remote-first culture emphasizes continuous learning and professional growth.

Qualifications

• Bachelor’s degree in statistics, mathematics, CS, economics or related.
• Strong analytical and problem-solving abilities with attention to detail.
• Proficiency in Python or R for data manipulation and analysis.
• Familiarity with SQL for querying databases.
• Excellent communication and presentation skills.

Responsibilities

• Collect, clean, and preprocess large datasets from diverse sources.
• Perform exploratory data analysis to identify trends and anomalies.
• Develop data models and algorithms to support business needs.
• Create clear data visualizations and stakeholder reports.
• Collaborate with cross-functional teams to define data requirements.
• Assist in designing and executing A/B tests and experiments.
• Maintain data integrity and governance compliance.
• Continuously learn and apply new analytic techniques.

Skills

Analytical thinking

Detail-oriented

Independent work

Self-motivated

Communication skills

Education

Bachelor's degree in quantitative field

Tools

Python (Pandas/NumPy)

R

SQL

Job description

About the Role

Our client, a leading technology solutions provider, is seeking motivated and analytical graduates to join their dynamic team as Entry-Level Data Analysts. This is a fantastic opportunity to launch your career in data science and analytics within a fully remote, forward-thinking environment. You will be instrumental in transforming raw data into actionable insights that drive strategic business decisions. We are committed to fostering a supportive and collaborative culture where continuous learning and professional development are paramount. As a remote-first organization, we leverage cutting-edge collaboration tools to ensure seamless communication and teamwork across geographical boundaries. You will have the chance to work on diverse projects, gain exposure to various industries, and contribute to innovative solutions that shape the future of technology.

Key Responsibilities

• Collect, clean, and preprocess 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 needs.
• Create clear and concise data visualizations and reports for stakeholders.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Assist in the design and execution of A/B tests and other analytical experiments.
• Maintain data integrity and ensure compliance with data governance policies.
• Continuously learn and apply new analytical techniques and tools.

Requirements

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Proficiency in data manipulation and analysis using tools like Python (Pandas, NumPy) or R.
• Familiarity with SQL for database querying and data extraction.
• Basic understanding of statistical concepts and methods.
• Excellent communication and presentation skills, with the ability to explain complex data findings to non-technical audiences.
• Self-motivated, proactive, and able to work independently in a remote setting.
• Previous internship or project experience in data analysis is a plus.

Benefits

WhatJobs Direct offers a comprehensive benefits package for this fully remote role. This includes a competitive annual salary, access to advanced training programs, and opportunities for career progression. You will also receive a home office stipend to ensure a comfortable and productive remote work environment. Join our vibrant community of remote professionals and unlock your potential in the exciting field of data analytics. We believe in work-life balance and offer flexible working hours to accommodate your personal needs.