Job Description
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We\'re building the most dynamic remote team in Latin America—and we want you on board. As part of the Virtual Latinos Team , you\'ll play a key role in shaping how we serve our clients and empower our growing community of professionals across the region.
If you\'re driven, collaborative, and ready to make an impact, this is your chance to grow with a team that\'s redefining remote work.
Pay Rate
- Hourly Rate: $16 - $17
- Full-time Biweekly Rate (40 hours per week 80 total):
- All roles are hourly-based and paid bi-weekly via third-party platforms. Rates are non-negotiable once offered.
Schedule
Monday–Friday, 9-hour shift (including a 1-hour lunch), From 7 AM – 4 PM PST .
Perks of Joining the Virtual Latinos Staff
- Long-term, stable position (not project-based)
- PTO and medical stipend based on time with the company
- Supportive, growth-oriented team culture
- Opportunities to increase your rate by learning and contributing
- Clear career growth paths within the company
Reports to: Reporting & Data Manager
Employment Type: Full-Time
Job overview: We are seeking a highly analytical and results-oriented Data Analyst & Automation Specialist with experience in data collection, transformation, automation, and visualization to support strategic decisions across the organization. The ideal candidate will be a technical professional with strong skills in systems integration, process automation, and data analytics, capable of collaborating with cross-functional teams to design efficient and scalable solutions that improve the candidate quality, availability, and governance of data used by the business.
Job Tasks :
- Develop data models and dashboards with key KPIs for leadership, operations, and customer success.
- Collect, transform, and analyze data from multiple sources (e.g. spreadsheets, Airtable, CRMs, ERPs, etc.).
- Build and automate ETL processes through scripting.
- Schedule and maintain automated tasks using cronjobs in cloud-based environments (e.g. Ubuntu, Replit).
- Manage relational databases, including validation and efficient data loading.
- Design and implement system integrations using REST APIs and Webhooks.
- Document technical processes, KPI definitions, and data flows to ensure traceability and scalability.
- Ensure data quality, governance, and consistency across business operations.
- Collaborate with internal teams to define, validate, and improve data-driven processes.
- Understand CRM/ERP environments and contribute to data validation and workflow improvement.
- Support initiatives for continuous improvement in data infrastructure and reporting
Required Skills
- Bachelor’s or Master’s degree related to Computer Science or Data Engineering.
- 5+ years of experience as data analyst with a solid background in manipulating, modeling, and implementing analytical solutions
- Proficient in Python for data analysis, automation, and scripting.
- Experience with Python libraries such as pandas, numpy, and duckdb.
- Advanced SQL knowledge (preferably PostgreSQL).
- Ability to create and optimize complex queries.
- Process automation using cronjobs in Linux environments (e.g. Ubuntu).
- Experience with lightweight cloud servers (e.g. Replit, Ubuntu Console).
- REST API integration for system communication.
- Use of Webhooks for automated workflows.
- Database management: data modeling, loading, and validation.
- Basic knowledge of Bash scripting.
- Familiarity with Git for version control.
- Experience with data visualization tools (Power BI, Tableau, Looker Studio, etc.).
- Familiarity with data capture and management platforms (e.g. Airtable).
- Understanding of CRM/ERP systems (e.g. Hubspot, Zoho or others).
- Strong focus on data quality and governance.
- Ability to document technical processes and KPI definitions.
Nike to have Skills
- Strong collaboration skills with cross-functional teams (Operations, Customer Success, Leadership, etc.).
- Ability to understand business needs and translate them into technical solutions.
- Proactive mindset for identifying and implementing process improvements.
- Analytical thinking and problem-solving orientation.
- Organized and detail-oriented in managing data projects.
- Commitment to continuous improvement and scalable solution design.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- IT Services and IT Consulting
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