AI Automations and Data Specialist
New
Fully remote position for candidates based in Latin America; based in BrazilContractMiddle
SalaryUp to $5,000 USD per month
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Job Details
- Languages
- Excellent English communication skills.
- Experience
- 3+ years
- Required Skills
- PythonSQLArtificial IntelligenceMicrosoft Power BIMicrosoft ExcelRESTful APIs
Requirements
- 3+ years of experience building business automations and data solutions, preferably within a B2B environment.
- Strong experience with Power BI, including dashboards, data modeling, DAX, and production reporting environments.
- Hands-on experience with Python and SQL for data transformation, automation, and analytics.
- Experience using automation platforms such as Zapier, Make, or similar low-code/no-code tools.
- Practical experience applying AI platforms such as GPT or Claude to business workflows and automation use cases.
- Advanced Microsoft Excel skills, including Pivot Tables, XLOOKUP, structured tables, and connected workbooks.
- Strong understanding of APIs, integrations, and modern SaaS ecosystems.
- Ability to translate technical concepts into clear explanations for technical and non-technical audiences.
- Strong organizational skills, attention to detail, and commitment to data accuracy and documentation.
- Excellent English communication skills.
Responsibilities
- Design, build, and maintain AI-powered automations using tools such as GPT, Claude, Zapier, Make, APIs, and modern SaaS platforms.
- Create scalable workflows that improve operations across Finance, HR, Sales, Client Success, and other business functions.
- Develop integrations between business applications using APIs and automation platforms to eliminate repetitive manual processes.
- Identify opportunities to improve efficiency through intelligent automation and practical AI solutions.
- Own and maintain business intelligence systems, including production Power BI dashboards used for operational and leadership decision-making.
- Build, optimize, and troubleshoot data pipelines using Python, SQL, and DAX.
- Manage reporting infrastructure, including scheduled refreshes, gateway connections, database structures, and data models.
- Ensure data quality and governance by maintaining accuracy, consistency, validation processes, and documentation across business systems.
- Document workflows, systems, automations, and technical processes to support scalability and long-term maintainability.
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