Junior Data Analyst Apprenticeship

Placements24

Centurion

Híbrido

ZAR 134.000 - 201.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Training program
Mentorship
Remote work
Potential full-time
Structured development plan
Supportive team

Descripción de la vacante

Placements24 invites applications for a fully remote Junior Data Analyst Apprenticeship within a leading financial services context. You will begin with structured training, work on real datasets, and translate insights into actionable business guidance.

The program emphasizes mentorship, hands-on analytics, and exposure to data-driven decision making, with potential for full-time opportunities upon successful completion.

Formación

  • A minimum of a Matriculation certificate; a tertiary qualification in a quantitative field is a plus.
  • Strong analytical and critical thinking skills.
  • Proficiency in Microsoft Excel is essential; familiarity with SQL, Python, or R is advantageous.
  • Excellent written and verbal communication skills.
  • Ability to work independently and manage tasks effectively in a remote setting.
  • High level of accuracy and attention to detail.
  • Proactive attitude and a strong desire to learn and develop analytical expertise.
  • Must have access to a stable internet connection and a suitable remote work environment.
  • Team player with good interpersonal skills.
  • Commitment to completing the full apprenticeship program.

Responsabilidades

  • Assist in collecting, cleaning, and organizing large datasets from various sources.
  • Perform data analysis to identify trends, patterns, and insights.
  • Develop and generate reports and dashboards to visualize data and communicate findings.
  • Support senior analysts in interpreting data and providing recommendations to stakeholders.
  • Assist in developing and maintaining data models and databases.
  • Collaborate with different departments to understand their data needs and provide analytical support.
  • Ensure data accuracy and integrity throughout the analysis process.
  • Learn and apply various statistical methods and data mining techniques.
  • Contribute to the development of data-driven strategies and solutions.
  • Stay updated with the latest trends and technologies in data analytics.

Conocimientos

Analytical thinking
Critical thinking
Excel
SQL
Python
R
Communication
Remote work
Team player
Willingness to learn

Educación

Matriculation certificate
Quantitative degree (advantage)

Herramientas

SQL
Python
R

Descripción del empleo

About the Role

Our client, a leading financial services firm, is offering a fully remote Junior Data Analyst Apprenticeship opportunity for individuals passionate about data and eager to build a career in analytics. This program is designed for ambitious candidates who possess strong analytical abilities and a keen eye for detail. You will join a dynamic team, contributing to critical data-driven projects while receiving comprehensive training and mentorship from experienced data professionals. The role involves working with large datasets, extracting insights, and supporting business decisions through clear and concise data presentations. This is a remote-first position, allowing you to work from anywhere within South Africa , offering immense flexibility. We are looking for self-starters with a genuine curiosity for data and a commitment to learning the latest analytical tools and techniques. This apprenticeship is an excellent stepping stone for a career in data science, business intelligence, or related fields. Our client values innovation, collaboration, and continuous improvement, providing a supportive environment for apprentices to thrive and grow. If you are looking to leverage your analytical skills and embark on a rewarding career path, this remote apprenticeship is the ideal starting point. The focus is on translating raw data into actionable business intelligence.

Key Responsibilities
  • Assist in collecting, cleaning, and organizing large datasets from various sources.
  • Perform data analysis to identify trends, patterns, and insights.
  • Develop and generate reports and dashboards to visualize data and communicate findings.
  • Support senior analysts in interpreting data and providing recommendations to stakeholders.
  • Assist in developing and maintaining data models and databases.
  • Collaborate with different departments to understand their data needs and provide analytical support.
  • Ensure data accuracy and integrity throughout the analysis process.
  • Learn and apply various statistical methods and data mining techniques.
  • Contribute to the development of data-driven strategies and solutions.
  • Stay updated with the latest trends and technologies in data analytics.
Requirements
  • A minimum of a Matriculation certificate; a tertiary qualification in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) is a plus.
  • Strong analytical and critical thinking skills.
  • Proficiency in Microsoft Excel is essential; familiarity with SQL, Python, or R is advantageous.
  • Excellent written and verbal communication skills.
  • Ability to work independently and manage tasks effectively in a remote setting.
  • High level of accuracy and attention to detail.
  • Proactive attitude and a strong desire to learn and develop analytical expertise.
  • Must have access to a stable internet connection and a suitable remote work environment.
  • Team player with good interpersonal skills.
  • Commitment to completing the full apprenticeship program.
Benefits
  • Comprehensive training in data analysis tools and techniques.
  • Mentorship from experienced data professionals.
  • Exposure to real-world business problems and data challenges.
  • Opportunity to work on impactful projects.
  • Fully remote working arrangement offering flexibility.
  • Potential for full-time employment based on performance.
  • Structured learning and development plan.
  • Supportive and collaborative team environment.
  • Gain valuable experience in a high-demand field.
  • Contribution to informed business decision-making.
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