Carreiras

We are looking for a highly analytical and detail-oriented BI Business Analyst to join our team. The successful candidate will analyze product-related data, prepare business requirements for new analytic solutions, generate insights, and provide actionable recommendations to improve product performance, user experience, and overall business growth. You will collaborate with cross-functional teams including product management, engineering, marketing, and sales to support data-driven decision-making.

Responsibilities:

• Analyzing large datasets related to product performance, user behavior, and market trends.
• Performance Monitoring: Tracking and analyzing key product metrics (KPIs), such as customer retention, product usage, and user engagement.
• Preparing business and technical requirements for new analytic solutions.
• Data-Driven Strategy: Working closely with the product team to identify opportunities for product enhancements, optimizations, and new feature development.
• Customer Segmentation: Performing customer segmentation analysis to understand different user cohorts and personalize the product experience.
• Collaboration: Partnering with product managers, engineers, and other teams to inform and align data-driven decisions.
• Data Quality: Ensuring data accuracy, integrity, and consistency in reporting solutions.
• Preparing documentation for a new analytic solution.
• Gathering feedback from stakeholders.

• Bachelor’s degree in a quantitative field such as Data Science, Mathematics, Statistics, Economics, or Computer Science. A master’s degree is a plus.
• 4+ years of experience in a BI Business Analyst / Business Analyst role, preferably within product teams.
• Experience with data visualization tools, with a strong preference for Power BI.
• Clear understanding of product metrics.
• Familiarity in data querying languages like SQL.
• Familiarity with scripting languages (Python, R) is a plus.
• Familiarity with A/B testing and experimentation frameworks.
• Ability to interpret complex data, identify patterns, and solve product-related problems.
• Excellent verbal and written communication skills to present insights and recommendations to non-technical stakeholders.
• Strong attention to data quality and accuracy.

Nice to have:

• Experience working in a tech or e-commerce company.
• Experience with product analytics tools such as Amplitude
• Familiarity with product lifecycle and agile development processes.