Data Analytics & Visualization Specialist (Python + Dash, ETL)

About OpenTrain

OpenTrain is a centralized job board for data-labeling and AI-training work. We aggregate openings from many AI companies and labeling platforms so contributors can discover opportunities in one place. Creating an OpenTrain account is free and applying takes only a few minutes.

This posting appears on OpenTrain and is for a contractor, part-time role focused on analytics, pipelines, and visualization work that supports data-driven products and AI teams.

About AI training and data work

AI training and related data work are the human contributions that make machine learning systems accurate and useful. Tasks range from preparing datasets and validating quality to building metrics and dashboards that guide product and model decisions.

Analytics and visualization specialists help teams understand data, validate results, and communicate findings—work that directly improves how models and products behave.

The role

You will build and maintain data pipelines, clean and transform datasets, and design interactive dashboards that communicate insights clearly. Expect to implement visualizations (Plotly/Dash), optimize queries and data models, validate data quality, and document your workflows and dashboards.

This is a contractor, part-time position (<20 hours/week). Pay is hourly at USD 25. The role is entry level and open to applicants worldwide; remote work is supported.

• Employment type: Contractor, Part-time
• Time requirement: Less than 20 hours per week
• Pay: $25 USD per hour
• Experience level: Entry level
• Location: Worldwide / Remote

What you'll do

Deliver clean, documented data flows and visualizations that answer business questions and support decision-making. Collaborate with stakeholders to translate needs into metrics and iteratively refine dashboards based on feedback.

• Build and maintain ETL/data pipelines for analytics and reporting.
• Clean, transform, and validate datasets using Python (pandas, numpy).
• Design and implement interactive visualizations with Plotly; build dashboards with Dash (preferred).
• Optimize SQL queries and data models for performance and clarity.
• Document pipelines, data models, tests, and dashboard usage.
• Collaborate to translate business questions into clear metrics and visuals.

Qualifications

You must have demonstrable skills and hands-on experience with the core tools and practices listed below. All items reflect required or preferred qualifications for the role and will be used to evaluate fit.

• Strong Python for data analysis, including pandas and numpy (required).
• Visualization expertise with matplotlib, seaborn, and plotly (required).
• Hands-on experience building dashboards with Dash (preferred).
• Experience with data pipelines / ETL design and maintenance (required).
• Solid SQL for data extraction and transformation (required).
• Understanding of data modeling and data quality / validation practices (required).
• Familiarity with Git/version control and basic testing practices for data code (required).
• Power BI or Tableau experience is a plus.
• Clear written communication skills and thorough documentation habits (required).
• Ability to translate business questions into clear metrics and visuals (required).

Who should apply

This role suits entry-level analysts and developers who are comfortable with Python-based data work and eager to take ownership of dashboards and pipelines. If you enjoy turning raw data into actionable visuals and keeping work well-documented, you should apply.

No single prior job title is required; applicants should be able to point to projects or examples demonstrating the required technical skills and documentation practices.

How it works / How to apply

Create a free OpenTrain account and submit your application through this listing. Applying typically takes only a few minutes. If selected, you'll be engaged as a contractor on a part-time basis and work remotely.

When applying, include examples or links to dashboards, notebooks, or repositories that demonstrate your Python, visualization, and ETL experience, and describe your role in those projects.

• Create an OpenTrain account (free) and apply via this posting.
• Include portfolio samples: dashboards, notebooks, SQL snippets, or code repositories.
• Be prepared to describe documentation and testing practices you use for data code.