Python Developer for Analytics Migration
Budget: $250 – $750 USD
About the Project
We’re working on a short-term data reporting project focused on migrating and improving Python-based analytics notebooks.
Our goal is to move from DeepNote (Jupyter) to , clean up existing data logic, and make the reporting system more automated and professional.
We already have a clear project plan and technical direction — we just need a reliable Python developer to help us execute and polish the migration.
You’ll work directly with our lead engineer and focus on notebook refactoring, visualization rebuilding, and report generation automation.
Must-Have Skills
3+ years of experience with Python
Solid Pandas and data manipulation skills
Experience working in Jupyter or DeepNote
Familiar with Plotly or similar chart libraries
Version control (Git) and basic code organization habits
Communicates clearly, meets deadlines, and is available during weekdays
Nice-to-Have Skills
Experience with Marimo or other reactive notebook tools
Knowledge of AWS S3 and simple data pipelines
Experience generating PDF reports from Python
Familiarity with healthcare or financial data
Light sense of design / visualization polish
Soft Skills
Great communication — keeps us updated proactively
Punctual and delivers on time
Accountable and self-managing
Collaborative mindset with attention to detail
Deliverables
Migrate 4 existing DeepNote notebooks into Marimo with functional parity.
Verify and refactor all data logic for accuracy, readability, and performance.
Recreate key charts and KPIs using Plotly or Matplotlib.
Confirm data integrity and consistent outputs across reports.
Implement reusable components to reduce code duplication between notebooks.
Finalize automated PDF report generation workflow (batch export per customer).
Provide lightweight documentation and usage notes for future developers.
Deliver clean, reviewed code in Git with working Marimo notebooks.
How to Apply
Please include:
A short intro (who you are + your experience with Jupyter or data analytics).
Example of a Python notebook or data visualization you’ve built (GitHub link or screenshot).
Your timezone and typical work hours.
We’re working on a short-term data reporting project focused on migrating and improving Python-based analytics notebooks.
Our goal is to move from DeepNote (Jupyter) to , clean up existing data logic, and make the reporting system more automated and professional.
We already have a clear project plan and technical direction — we just need a reliable Python developer to help us execute and polish the migration.
You’ll work directly with our lead engineer and focus on notebook refactoring, visualization rebuilding, and report generation automation.
Must-Have Skills
3+ years of experience with Python
Solid Pandas and data manipulation skills
Experience working in Jupyter or DeepNote
Familiar with Plotly or similar chart libraries
Version control (Git) and basic code organization habits
Communicates clearly, meets deadlines, and is available during weekdays
Nice-to-Have Skills
Experience with Marimo or other reactive notebook tools
Knowledge of AWS S3 and simple data pipelines
Experience generating PDF reports from Python
Familiarity with healthcare or financial data
Light sense of design / visualization polish
Soft Skills
Great communication — keeps us updated proactively
Punctual and delivers on time
Accountable and self-managing
Collaborative mindset with attention to detail
Deliverables
Migrate 4 existing DeepNote notebooks into Marimo with functional parity.
Verify and refactor all data logic for accuracy, readability, and performance.
Recreate key charts and KPIs using Plotly or Matplotlib.
Confirm data integrity and consistent outputs across reports.
Implement reusable components to reduce code duplication between notebooks.
Finalize automated PDF report generation workflow (batch export per customer).
Provide lightweight documentation and usage notes for future developers.
Deliver clean, reviewed code in Git with working Marimo notebooks.
How to Apply
Please include:
A short intro (who you are + your experience with Jupyter or data analytics).
Example of a Python notebook or data visualization you’ve built (GitHub link or screenshot).
Your timezone and typical work hours.
Related categories:
Python
Software Architecture
Data Mining
Big Data Sales
Git
Data Visualization
Data Analysis
Pandas