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The employer is currently interviewing candidates for this position. The last status update was on Oct 11, 2025.
Certified Remote
PUBLISHED
Oct 5, 2025
Launch your career as a Python Data Analyst, analyzing datasets to derive insights. This beginner-friendly role focuses on Python libraries for data manipulation and visualization. Remote work allows you to learn at your pace, supported by mentors, while tackling real-world data challenges with pandas and matplotlib.
The Python Data Analyst role is an excellent entry point for those new to data science, emphasizing Python as the tool of choice for analysis. Aimed at recent graduates or developers with 0-1 year experience, this remote position builds your expertise from foundational data handling to insightful reporting.
Start with Python basics: strings, numbers, and collections, then move to libraries like NumPy for numerical computing and pandas for data frames. You'll clean and transform datasets, applying functions to filter, sort, and aggregate information efficiently. Data structures such as series and data frames will become second nature, enabling you to manage large datasets effectively.
OOP will be applied to create custom classes for data pipelines, promoting modular code. File handling includes importing CSV, JSON, and Excel files, with practices for data validation and error management. API integration involves pulling data from web services, using libraries like BeautifulSoup for scraping if needed, and storing results in structured formats.
Entry-level backend aspects include connecting to SQL databases via Python, writing queries, and visualizing results with matplotlib or seaborn. You'll learn to generate reports and dashboards, communicating findings through clear narratives. Mentorship ensures you're guided through complex analyses, with bi-weekly reviews to track progress and address challenges.
This role offers growth through project-based learning: from exploratory data analysis on sample sets to contributing to business intelligence reports. Remote collaboration uses tools like Google Colab for shared notebooks and Trello for task tracking. We foster a learning culture, providing access to datasets, tutorials, and a Slack channel for questions.
Over the year, you'll develop a portfolio highlighting data stories, from trend identification to predictive insights using basic stats. This experience equips you for advanced analytics roles, enhancing your analytical thinking and Python proficiency. Embrace this opportunity to grow in a supportive environment, where curiosity drives innovation and every dataset tells a story worth uncovering.
The employer recommends obtaining this certification to validate your skills and enhance your application.
Note: You can still apply for this position without the certification, but having it will make your profile stand out and may be required to move forward in the hiring process.