Remote Junior Data Analyst Apprentice

Placements24; Kimberley; Remote; CAD 17,000 - 28,000; Full time

Benefits offered by this job

Remote work

Mentorship program

Apprenticeship stipend

Online learning resources

Career development opportunities

Job summary

Placements24 is seeking a Junior Data Analyst Apprentice for a fully remote, remote-first role. You will learn to collect, clean, analyze, and visualize data, contributing to client projects from anywhere with mentorship and structured training.

The apprenticeship emphasizes hands-on data manipulation using SQL, Python/R, and Tableau, with practical exposure to real-world datasets and documentation practices in a collaborative online environment.

Qualifications

• Strong analytical and problem-solving skills.
• Interest in data, statistics, and technology.
• Basic understanding of data concepts and databases.
• Proficiency in Excel or equivalent spreadsheet software.
• Excellent communication, with the ability to explain technical concepts clearly.
• Must be eligible for an apprenticeship program.

Responsibilities

• Assist in collecting and organizing data from various sources.
• Perform data cleaning and preprocessing tasks to ensure data accuracy and integrity.
• Conduct basic data analysis using statistical methods and software.
• Develop reports and visualizations to communicate findings to the team.
• Collaborate with senior analysts on data projects via online platforms.
• Learn and apply data analysis tools and techniques (e.g., SQL, Python/R, Tableau).
• Support the maintenance of data dictionaries and documentation.
• Assist in identifying trends and patterns within datasets.

Skills

Analytical thinking

Problem solving

Strong communication

Self-motivation

Education

Pursuing degree in data science or related field

Tools

SQL

Python

Tableau

Job description

About the Role

Our client, a data-driven consulting firm, is offering a fully remote Junior Data Analyst Apprenticeship. This is an exceptional opportunity for analytical individuals to launch their careers in data science and analytics from anywhere. You will work with experienced data professionals, learning to collect, clean, analyze, and visualize data to derive meaningful insights. This remote-first role allows you to develop crucial skills in data manipulation and interpretation using industry-standard tools and methodologies, contributing to client projects without needing to be in a specific office. Our client is dedicated to fostering talent and providing a supportive virtual learning environment.

Key Responsibilities

• Assist in collecting and organizing data from various sources.
• Perform data cleaning and preprocessing tasks to ensure data accuracy and integrity.
• Conduct basic data analysis using statistical methods and software.
• Develop reports and visualizations to communicate findings to the team.
• Collaborate with senior analysts on data projects via online platforms.
• Learn and apply data analysis tools and techniques (e.g., SQL, Python/R, Tableau).
• Support the maintenance of data dictionaries and documentation.
• Assist in identifying trends and patterns within datasets.

Requirements

• Strong analytical and problem-solving skills.
• A keen interest in data, statistics, and technology.
• Basic understanding of data concepts and databases.
• Proficiency in Microsoft Excel or equivalent spreadsheet software.
• Excellent communication skills, with the ability to explain technical concepts clearly.
• Self-motivated and disciplined to work effectively in a remote setting.
• Must be eligible for an apprenticeship program.
• Experience with SQL or a programming language (Python/R) is a plus.

Benefits

• Fully remote working arrangement with flexibility.
• Comprehensive remote training and mentorship in data analysis.
• Opportunity to work on impactful client projects from any location.
• Gain practical experience with cutting-edge data tools and techniques.
• Competitive apprenticeship stipend.
• Access to online learning resources and professional development opportunities.
• Pathway to a career in data science and analytics.