Ruvixx
Data Analyst (Full-Time | Remote)
Contract Type: Independent Contractor (2-year renewable)
Trial Period: 3-month trial with performance review
Compensation: $1,000-$1,200/month (depending on qualifications and performance)
We're looking for a sharp and detail-oriented Data Analyst to join our remote team. If you're passionate about turning raw data into actionable insights and building scalable reporting solutions, this full-time independent contractor role could be a great fit.
You'll collaborate closely with cross-functional teams to build dashboards, uncover trends, improve data processes, and support business decisions with clear, evidence-based insights.
What You'll Do:
- Build and maintain dashboards and automated reports using BI tools (Power BI, Tableau, or QuickSight)
- Analyze datasets using SQL and Excel/Google Sheets to generate custom reports
- Collaborate with teams to define data requirements and drive data-informed decision-making
- Identify inefficiencies in ETL processes and help improve pipeline performance
- Ensure data accuracy and integrity through detailed validation and troubleshooting
- Assist with data governance best practices and documentation
- Bachelor's degree (or advanced student) in Business, Statistics, Computer Science, or a related field
- Strong command of SQL
- Proficiency with Excel or Google Sheets
- Hands-on experience with at least one data visualization tool: Power BI, Tableau, or QuickSight
- Familiarity with the Python data stack (Pandas, Numpy, etc.)
- Experience with AWS data services (Glue, Redshift, Lambda) or Apache Airflow
- Background in digital analytics (Google Analytics) and CRM platforms (Salesforce)
- Prior experience in the Digital Marketing or Anti-Piracy industries
This is a remote, full-time opportunity for an independent contractor. After a successful 3-month trial period, we'll conduct a performance review to evaluate fit for long-term collaboration.
Ready to dive deep into data? Apply now and help us make smarter, faster decisions with better data.