[Hiring] Senior Business Intelligence Analyst @HireLATAM

Role Description

Our Client is a data-first, high-growth e-commerce enterprise generating $10M–$15M annually in apparel sales across Amazon, TikTok Shop, and Shopify. Operating with a lean, fast-paced team of approximately 12 full-time professionals, they foster an agile environment where strategic decisions are founder-led, rapid, and grounded in rigorous data analytics. Every critical business move—from inventory purchasing and marketing spend to product launches and multi-channel expansion—runs directly on real-time business intelligence.

Key Responsibilities

• BI Infrastructure & Data Pipeline Management:
  • Owns, builds, and maintains the reporting and business intelligence layer in Power BI across Amazon, Shopify, and TikTok Shop data sources.
  • Architects and manages underlying data processing workflows using Power BI, SQL, and R or Python, driving continuous improvements to the data stack infrastructure.
  • Ensures total end-to-end data quality by rigorously testing every report from the end-user perspective and reconciling outputs against raw source systems prior to deployment.
• Business Analysis & Executive Consultation:
  • Translates complex stakeholder questions into structured analytical models, converting data insights into plain-language strategic recommendations.
  • Evaluates key e-commerce metrics—including gross margins, channel performance, customer acquisition, inventory turnover, and ad spend efficiency—to guide weekly business decisions.
  • Partners closely with US executive leadership, presenting data findings, questioning strategy assumptions, and advocating for optimal analytical methodologies.

Qualifications

• Required Qualifications:
  • Proven track record of personally designing and building an end-to-end data processing and reporting architecture (using any stack).
  • Hands-on expertise with Power BI for front-end reporting, coupled with working experience in SQL and either R or Python for back-end data transformation.
  • An innate instinct for numerical accuracy—knowing expected benchmarks beforehand and instantly spotting data anomalies before sharing reports.
  • Exceptional verbal and written English skills, fully capable of pushing back on C-suite leadership with data-driven evidence.
  • Deep interest in underlying business mechanics (margins, unit economics, supply chain, multi-channel performance) rather than just data schemas.
  • High self-awareness—able to solve complex technical and analytical problems independently while knowing precisely when to align with leadership.
  • Full availability during US Central Time business hours (9:00 AM – 6:00 PM CT).
• Preferred Qualifications:
  • Prior experience analyzing multi-channel e-commerce data (Amazon Seller Central, Shopify Analytics, TikTok Shop, or paid media platforms).
  • Background working in fast-paced startup or lean e-commerce environments.

Benefits

• Fixed monthly salary of $3,000 – $4,000 USD.
• 2 weeks of paid PTO annually (inclusive of vacation and sick days).
• 10 paid days off annually to celebrate official national holidays in the employee’s country of residence.
• Direct exposure to company founders where data insights directly alter weekly inventory, marketing, and expansion decisions.
• Predictable full-time commitment executed remotely within a supportive, data-driven organization.