Candidates must have strong Python skills and hands-on experience with data visualization and dashboards. Proficiency with pandas, numpy, matplotlib, seaborn, and plotly is required; experience with Dash is preferred. Familiarity with data pipelines/ETL and solid SQL are important. Power BI or Tableau experience is a plus, along with clear written communication and good documentation habits. You will build and maintain data pipelines, clean and transform datasets, and design interactive dashboards that communicate insights clearly. Work includes implementing visualizations (Plotly/Dash), optimizing queries and data models, validating data quality, and documenting workflows and dashboards. Collaboration will involve translating business questions into metrics and visuals and iterating based on feedback.
Total Budget
$2,500
Pay per Label
$25/hr
Time Requirement
Less than 20 hrs/week
Duration
1 month
Business metrics and operational analytics dataset
Software
Hiring Type
Required Location
Workload / Schedule
Flexible schedule, 1 week pilot phase
Software
Data Type
Label Types
Subject Matter / Industry
Language
Job Type
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