1 Junior Data Analyst Graduate Program jobs in WhatJobs Direct
Junior Data Analyst - Graduate Program
Posted 5 days ago
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Job Description
Our client is actively seeking bright and enthusiastic recent graduates for a Junior Data Analyst role within their fully remote, dynamic analytics team. This is an exceptional opportunity to launch your career in data science and analytics, gaining hands-on experience with real-world data challenges. You will work alongside experienced analysts and data scientists, learning to extract, clean, analyze, and interpret data to provide actionable insights. The program is designed to foster rapid learning and professional development, providing mentorship and exposure to a wide array of analytical tools and techniques.
Responsibilities:
Responsibilities:
- Assist in collecting and cleaning large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and maintain reports, dashboards, and visualizations to communicate findings.
- Support senior analysts in ad-hoc data analysis requests.
- Learn and apply statistical methods and analytical techniques.
- Contribute to the documentation of data processes and analytical methodologies.
- Collaborate with team members in a virtual environment to achieve project goals.
- Participate in training sessions and workshops to enhance analytical skills.
- Help in identifying areas for data improvement and process optimization.
- Gain exposure to various data analysis tools and software.
- Ensure data accuracy and integrity in all analyses.
- Assist in preparing presentations of data insights for stakeholders.
- Recent Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL for data querying.
- Basic understanding of statistical concepts and data visualization techniques.
- Excellent attention to detail and a commitment to data accuracy.
- Strong written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and adapt to new technologies and methodologies.
- A keen interest in data analysis and its application to business problems.
- Previous internship or project experience in data analysis is a plus.
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