Description
We are seeking a Mid-level Business Intelligence (BI) Analyst to transform data into strategic information that supports the company's decision-making.
This person will be responsible for structuring analyses, KPIs, and dashboards, ensuring data quality and helping various business areas understand their results, identify opportunities, and make more accurate decisions.
This role involves frequent interaction with Marketing, Sales, and Operations teams, translating business needs into data-driven analyses and solutions.
Responsibilities
**BI, Data, and Dashboards**
* Collect, organize, process, and analyze data from multiple sources;
* Develop and enhance dashboards and reports using BI tools;
* Create KPIs and metrics that support decision-making;
* Ensure the quality, consistency, and reliability of presented information.
**Data Analysis and Governance**
* Document KPIs, metrics, and business rules;
* Identify data inconsistencies, investigate root causes, and propose improvements;
* Support the evolution of data collection, organization, and dissemination processes.
**Business Acumen and Analytics**
* Translate business questions into relevant analyses and KPIs;
* Collaborate closely with business teams to understand challenges and opportunities through data;
* Support hypothesis building, A/B testing, and result analysis;
* Align KPIs with the company’s strategic objectives.
**Marketing and Sales**
* Build analyses related to the acquisition funnel and revenue;
* Monitor digital marketing metrics, lead generation, conversion, and retention;
* Create views that support commercial and growth decisions.
**Requirements**
* Experience in data analysis and dashboard development;
* Proficiency with BI tools (Google Data Studio/Looker Studio or similar);
* Knowledge of SQL for queries, filters, and joins;
* Advanced proficiency in Google Sheets and/or Excel;
* Strong analytical ability, organizational skills, and attention to detail;
* Ability to translate data into actionable insights for business teams.
**Preferred Qualifications**
* Experience with data automation and integration tools (n8n, Make, Zapier or similar);
* Knowledge of APIs and Webhooks;
* Basic knowledge of statistics, data modeling, or experimentation;
* Experience with SaaS, digital marketing, or sales metrics.