Business Intelligence Analyst
New
A
Art Remedy BrandsE-commerce, retail, manufacturing
This is a fully remote opportunity for professionals based in Latin America.ContractMiddle
Salary not disclosed
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Job Details
- Languages
- Fluent English is mandatory.
- Experience
- 3 years of hands-on experience in business intelligence, data analytics, or a quantitative analytical role.
- Required Skills
- PythonSQLMicrosoft Power BITableauData modelingGoogle SheetsBigQueryLooker
Requirements
- Have 3 years of hands-on experience in business intelligence, data analytics, or a quantitative analytical role.
- Demonstrate strong proficiency in SQL; BigQuery is preferred.
- Have experience with modern BI tools such as Looker, Tableau, or Power BI.
- Have advanced Google Sheets experience for ad hoc analysis, data modeling, and automated reporting.
- Be able to design clear, intuitive dashboards and translate complex data sets into strategic executive summaries.
- Have experience with or strong domain interest in e-commerce, retail, consumer products, or manufacturing.
- Work autonomously and apply strong problem-solving skills in a fast-paced, remote environment.
- Be fluent in English for regular collaboration with an international team.
- Be based in Latin America.
Responsibilities
- Build, maintain, and enhance automated dashboards in Looker or Google Data Studio to track revenue, gross margin, and operational KPIs across channels.
- Write and optimize SQL queries in BigQuery to extract, transform, and model data from ERPs, e-commerce platforms, and marketplace APIs.
- Produce monthly business intelligence reports that synthesize performance metrics into executive-ready narratives.
- Design automated reporting workflows using Google Sheets, BigQuery, and BI tools.
- Identify trends, anomalies, and leading indicators in product mix and channel performance, and provide strategic recommendations.
- Validate data accuracy against source systems and resolve discrepancies across reports.
- Partner with sales, merchandising, operations, and finance teams to deliver reporting solutions.
- Collaborate with engineering on database architecture, data integration, and pipeline improvements.
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