About this role
Intermediate Analytics Developer
Virtasant
What You’ll Do
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Build and maintain user-facing reports that help our client's customers understand their workforce and spot opportunities for improvement.
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Develop and maintain data models and pipelines in Google BigQuery, using techniques like partitioning and clustering to keep reporting fast and cost-effective.
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Apply statistical techniques to provide meaningful insights and support data-informed decisions.
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Work with team members - including Product Managers, Developers, Designers, and UX Researchers - to complete feature analyses, respond to ad-hoc data requests, and deliver reports that surface product insights.
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Review data schemas for new features to ensure they'll support future analytics needs.
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Provide constructive feedback on PR reviews to support high-quality code delivery.
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Troubleshoot issues across the analytics stack - from data ingestion through the warehouse and semantic layer - to find the root cause of data discrepancies.
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Work with AI agent tools within our data applications to support automation and surface insights for customers and internal teams.
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Contribute to the Data team's shared knowledge base and stay current on emerging practices in analytics and data development.
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What We’re Looking For
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Degree in a quantitative field, or equivalent experience.
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3+ years of experience in data analysis or a similar role.
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Strong SQL skills, with hands-on experience in BigQuery and Looker.
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Experience with Python for data tasks such as scripting, data engineering, or pipeline work.
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Familiarity with Generative AI tools and LLMs for use cases like code generation, data cleaning, or workflow automation.
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Working knowledge of data warehousing concepts and how they apply to analytics and reporting.
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Solid foundation in statistics, including techniques like t-tests and linear regression.
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Ability to communicate clearly about data topics with both technical and non-technical audiences.
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Good product and business sense; you understand how data connects to what our client's customers need.
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Experience building and managing projects within BigQuery Analytics Hub is considered a strong asset (but not mandatory).
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Knowledge of Java is considered a strong asset (but not mandatory).
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Our recruitment process
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Recruiter interview (30 min)
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Tech interview (30 min)
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Client interview - Hiring manager interview (1 hour)
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Client interview - Technical interview 1 (1 hour)
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Client interview - Technical interview 2 (1 hour)
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Client interview - Executive interview (30 min)
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We strive to move efficiently from step to step to make the recruitment process as fast as possible.
What we offer
- Totally remote, full-time (40h/week)
- Work hours - 8 hours a day, East Coast office hours
- Independent contractor agreement
- Payment in USD, biweekly or monthly - your choice
Our team Software Engineering
Locations Latin America Remote status Fully Remote
Software Engineering · Latin America · Fully Remote
If you are based in Latin America, have a strong English level and SQL, BigQuery, and Looker skills, come help our client by delivering proactive insights and data products on this AI-focused team!