Description
Job Summary:
The BI Analyst will collect, organize, and provide strategic information, acting as a partner to support data-driven decision-making and build efficiency insights.
Key Highlights:
1. Responsible for collecting, organizing, and providing strategic information
2. Will act as a partner to support data-driven decision-making
3. Will contribute to building operational efficiency insights
**Key Responsibilities:**
The BI Analyst will be responsible for collecting, organizing, transforming, and providing strategic information, ensuring clear visibility into key business metrics. Will partner with internal departments to support data-driven decision-making and contribute to building operational efficiency insights.
**Main Responsibilities:**
* Develop, implement, and maintain dashboards, reports, and performance analyses in Power BI and other visualization tools;
* Structure and optimize ETL processes, ensuring consistency, integrity, and automation of data flows;
* Build and monitor strategic KPIs, such as: CAC, LTV, conversion rate, average order value, product turnover, logistics SLA, order cycle times and workflows, among others;
* Conduct exploratory analyses to identify trends, anomalies, and improvement opportunities;
* Collaborate with Marketing, Sales, Product, and Operations teams, translating data into clear, actionable insights;
* Ensure governance, quality, and standardization of internal databases;
* Support strategic decisions through ad-hoc studies, forecasts, and analytical modeling.
**Requirements:**
* Bachelor’s degree completed in Administration, Engineering, Computer Science, Information Systems,
Statistics, or related fields;
* Proficiency in ETL concepts, data modeling, and visualization tools;
* Power BI – Intermediate (modeling, dashboards, basic DAX);
* Advanced Excel (formulas, pivot tables, VBA, macros, automations);
* SQL – Intermediate (queries, joins, view creation);
* Knowledge of Data Analysis and business metrics.
**Preferred Qualifications (Market & E-commerce)**
* Python – Intermediate (data processing, automations, data pipelines);
* R – Basic (statistical analysis);
* M Language – Intermediate (Power Query);
* DAX – Intermediate;
* Power Automate – Basic (automated workflows);
* Experience with e-commerce metrics is desirable: conversion rate, cart abandonment rate, campaign ROI, LTV, CAC, ABC analysis, demand forecasting;
* Familiarity with GA4, SAP Commerce, Zendesk, and VTEX is desirable.
Minimum Education: Bachelor’s Degree
* WELLHUB
* HEALTH INSURANCE
* DENTAL INSURANCE
* ELETROCLUB
* TRANSPORTATION ALLOWANCE (VT)
* MEAL ALLOWANCE (VA)
* PROFIT-SHARING PROGRAM (PPR)
* DISCOUNT CLUB
* LIFE INSURANCE