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Junior Data Analyst Apprenticeship

WhatJobs Direct

Lokoja · Hybrid Internship Entry Level 2d ago

About the role

About the Apprenticeship

Embark on your career journey with our exclusive Junior Data Analyst Apprenticeship! This program is designed for aspiring data professionals eager to gain practical experience and develop essential skills in data analysis and interpretation. As an apprentice, you will work closely with our experienced data science team, contributing to real‑world projects and learning the intricacies of data manipulation, visualization, and reporting. This is a fantastic opportunity to build a strong foundation in a rapidly growing field.

Program Highlights

  • Gain hands‑on experience in data cleaning, transformation, and preparation using industry‑standard tools.
  • Learn to perform statistical analysis and interpret complex datasets to derive actionable insights.
  • Develop proficiency in data visualization techniques to present findings effectively.
  • Assist in generating reports and dashboards for various business units.
  • Work with SQL for database querying and data extraction.
  • Understand the principles of business intelligence and data warehousing.
  • Participate in team meetings, project planning sessions, and problem‑solving discussions.
  • Receive mentorship and guidance from senior data analysts and data scientists.
  • Explore various analytical methodologies and tools relevant to the field.
  • Contribute to the development of data‑driven solutions for business challenges.
  • Understand data governance and best practices for data integrity.

What We’re Looking For

  • Recent graduate with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field, or equivalent practical experience.
  • A strong aptitude for numbers and analytical thinking.
  • Basic understanding of statistical concepts.
  • Familiarity with at least one programming language (e.g., Python, R) is a plus.
  • Eagerness to learn and a proactive attitude.
  • Good communication skills and ability to work collaboratively in a team.
  • Attention to detail and a commitment to producing accurate results.
  • Willingness to embrace a hybrid work model, requiring occasional presence in our Lokoja, Kogi, NG office for collaborative sessions and training.

Why Join Us

This apprenticeship is a stepping stone to a rewarding career in data analytics. We provide a supportive learning environment where you can grow your skills and make a real impact. If you are passionate about data and ready to kick‑start your career, apply today!

Requirements

  • Recent graduate with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field, or equivalent practical experience.
  • A strong aptitude for numbers and analytical thinking.
  • Basic understanding of statistical concepts.
  • Familiarity with at least one programming language (e.g., Python, R) is a plus.
  • Eagerness to learn and a proactive attitude.
  • Good communication skills and ability to work collaboratively in a team.
  • Attention to detail and a commitment to producing accurate results.

Responsibilities

  • Gain hands-on experience in data cleaning, transformation, and preparation using industry-standard tools.
  • Learn to perform statistical analysis and interpret complex datasets to derive actionable insights.
  • Develop proficiency in data visualization techniques to present findings effectively.
  • Assist in generating reports and dashboards for various business units.
  • Work with SQL for database querying and data extraction.
  • Understand the principles of business intelligence and data warehousing.
  • Participate in team meetings, project planning sessions, and problem-solving discussions.
  • Receive mentorship and guidance from senior data analysts and data scientists.
  • Explore various analytical methodologies and tools relevant to the field.
  • Contribute to the development of data-driven solutions for business challenges.
  • Understand data governance and best practices for data integrity.

Skills

PythonRSQL

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