Data Analytics & Visualization Specialist (Python, Dash)
Join OpenTrain to build ETL pipelines and interactive dashboards using Python, Plotly/Dash, and SQL; part-time contractor role paying $25/hr for under 20 hours/week. Ideal for entry-level data analysts who write clean code, validate data, and translate business questions into clear visual insights.
Coding & Software
$25/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Sep 3, 2025
Posted
Open worldwide
About OpenTrain
OpenTrain is the #1 platform for people building careers in AI training and data labeling. We connect contributors with hands-on projects that shape how modern AI systems behave and provide a place to grow technical skills, build a profile, and find flexible, remote work.
Why AI training and data work matters
AI models learn from examples prepared and reviewed by people. Work like analytics, data engineering, and dashboarding helps teams turn raw data into reliable signals that improve models and products. This sector offers flexible remote opportunities, accessible entry points, and the chance to directly influence cutting-edge AI.
The role
We are looking for an entry-level Data Analytics & Visualization Specialist to build and maintain ETL pipelines, clean and transform datasets, and design interactive dashboards that communicate insights clearly. This is a part-time contractor role (less than 20 hours/week), remote and open worldwide, paid hourly at $25 USD.
- Employment type: Contractor, Part-time
- Hours: Less than 20 hours/week
- Compensation: $25 USD per hour (PAY_PER_HOUR)
What you'll do
You will implement and maintain data workflows, author visualizations, validate data quality, and document your work so others can reproduce analyses. Collaboration with stakeholders includes translating business questions into metrics and iterating on dashboards based on feedback.
- Build and maintain ETL/data pipelines to extract, clean, and transform datasets.
- Design interactive visualizations and dashboards using Plotly and Dash (Dash experience preferred).
- Implement visualizations with matplotlib, seaborn, and plotly where appropriate.
- Optimize SQL queries and data models for performance and clarity.
- Validate data quality and implement checks to ensure reliable metrics.
- Document pipelines, dashboard logic, and data definitions clearly for collaborators.
- Iterate on visuals and metrics based on user feedback and business needs.
Qualifications
Candidates must demonstrate practical experience with Python-based data analysis and visualization, solid SQL skills, and familiarity with data pipeline concepts. Clear written communication and good documentation habits are required.
- Strong Python for data analysis (pandas, numpy).
- Visualization expertise with matplotlib, seaborn, and plotly.
- Hands-on experience building dashboards with Dash; Power BI or Tableau is a plus.
- Experience designing and maintaining data pipelines/ETL.
- Solid SQL for data extraction and transformation.
- Understanding of data modeling and data quality/validation practices.
- Familiarity with Git/version control and basic testing practices for data code.
- Ability to translate business questions into clear metrics and visuals.
- Clear written communication and thorough documentation of pipelines/dashboards.
Who should apply
This role is aimed at entry-level analytics or data-engineering practitioners who are comfortable writing Python code and building dashboards. If you enjoy turning messy data into clear visuals, documenting reproducible workflows, and working flexibly as a contractor, this is a great fit.