Certified Remote
PUBLISHED
Oct 23, 2025
Start your career at Baishi as an Entry-Level Data Analyst, focusing on AI analytics. Assist in processing datasets, running basic queries with SQL, and creating visualizations to support AI model development. Perfect for beginners excited about data's role in innovative tech. Receive mentorship and work remotely on cutting-edge projects.
At Baishi, we're at the forefront of AI innovation, and our Entry-Level Data Analyst position offers a unique entry point for aspiring analysts to engage with AI datasets in a remote setting. As a beginner, you'll contribute to projects that blend data analysis with emerging technologies, building essential skills under expert guidance.
Your daily tasks will include gathering and organizing data from AI experiments, such as sensor inputs or user interaction logs. You'll use SQL to extract relevant information from databases, performing simple joins and filters to prepare data for analysis. Learning foundational concepts like data types, cleaning techniques, and basic statistics—such as mean, median, and variance—will be key to spotting anomalies or trends in AI performance metrics.
Visualization plays a crucial role in our work; you'll create entry-level charts and graphs using Python libraries like Matplotlib or free tools like Tableau, helping the team understand model outputs. For example, you might plot accuracy rates over time to evaluate AI prototypes or map feature importance in simple models.
We foster a learning-oriented environment with structured mentorship. A dedicated mentor will conduct bi-weekly check-ins, offering feedback on your analyses and introducing best practices for reproducible research. Collaborative tools like Jupyter Notebooks will allow you to document your work, ensuring transparency in data handling.
Over the year, you'll explore introductory AI analytics, including how data fuels machine learning pipelines, ethical considerations in AI data use, and basic predictive analytics. Hands-on projects might involve supporting sentiment analysis on text data or tracking user engagement in AI apps, providing practical experience that enhances your resume.
This role emphasizes growth: from understanding data pipelines to contributing insights that refine AI applications. Remote collaboration via Zoom and Git ensures seamless teamwork, while our supportive culture encourages questions and experimentation. By program's end, you'll emerge with confidence in core data analysis skills, poised for further advancements in AI and tech analytics.
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.