Business Intelligence Analyst Talent Network | $70-$120/hr Remote
Overview
This is an invitation to join a curated network of Business Intelligence professionals seeking project-based work with leading AI organizations. You'll be considered for remote, part-time opportunities as they arise, contributing your expertise to train and evaluate AI models in the BI space. The network matches your background to relevant projects on an ongoing basis, offering flexible scheduling and competitive compensation.
What You'll Do4
- 1Assess and refine AI model outputs related to Business Intelligence analytics to improve accuracy and relevance.
- 2Design and complete real-world BI tasks—such as building dashboards or running data queries—to serve as training material for AI systems.
- 3Provide detailed, domain-specific feedback to help advance frontier AI research in data analysis and reporting.
- 4Collaborate with project teams on short- to medium-term engagements, typically ranging from 15 to 30 hours per week.
Requirements4
- 1Proven professional experience with SQL and data querying, including the ability to extract and manipulate complex datasets.
- 2Strong proficiency in data visualization tools such as Tableau or Power BI for creating insightful dashboards.
- 3Solid understanding of data modeling and warehousing concepts, with hands-on experience applying them in business contexts.
- 4Excellent written and verbal communication skills, enabling clear explanations of analytical findings.
Who Should Apply
This network is ideal for experienced Business Intelligence Analysts who thrive on independent, project-based work and want to apply their skills to cutting-edge AI challenges. You should be comfortable with remote collaboration, eager to share your domain knowledge, and able to commit to a flexible part-time schedule of 15–30 hours per week.
Salary Insight
Compensation is competitive and project-based, with rates ranging from $70 to $120 per hour depending on expertise and project scope.
Application Tip
To stand out, tailor your resume to highlight specific BI projects where you used SQL, Tableau, and data modeling—include concrete metrics like query optimization times or dashboard adoption rates.
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