
Mid-level Data Analyst
Fortbras
full-time
Posted on:
Location Type: Hybrid
Location: São Paulo • Brazil
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About the role
- The Mid-level Data Analyst will be responsible for turning raw data into strategic information to support decision-making.
- Will work with greater autonomy in structuring analyses, building metrics, and supporting business areas within the "Horizonte Data-Driven" Program.
- This professional will play a key role in consolidating an analytical culture and advancing the organization's data maturity.
- This is an opportunity for a professional who already has experience in data analysis and seeks a more prominent, leading role.
- You will be part of the "Horizonte Data-Driven" Program, working on data exploration, generating strategic insights, and supporting the development of analytical models that enable smarter decisions.
- Your work will have a direct impact on business performance, connecting data, strategy, and results.
- Develop exploratory and diagnostic analyses to identify trends and opportunities.
- Build and maintain strategic indicators and metrics for different areas of the company.
- Prepare analytical reports and executive presentations with data-driven storytelling.
- Support the structuring of analytical datasets and the definition of strategic KPIs.
- Contribute to the dissemination of a Data-Driven culture across the organization.
Requirements
- Desired Experience:
- Previous experience in data analysis and building metrics.
- Experience in retail and direct distribution is a plus.
- Intermediate to advanced knowledge of SQL.
- Experience with Power BI or another visualization tool.
- Experience with Python is a plus.
- Education: Degree in Computer Science, Statistics, Economics, Business Administration, Engineering, or related fields.
- Tools / Platforms:
- Knowledge of Power BI or similar tools.
- Proficiency in SQL.
- Basic to intermediate knowledge of Python.
- Familiarity with data modeling and Data Warehouse concepts.
- Skills:
- Structured analytical thinking.
- Strong communication skills and the ability to translate data into clear insights.
- Autonomy and organizational skills.
- Logical reasoning and critical thinking.
- Business acumen and results orientation.
- Power BI certifications or courses in data analysis are a plus.
Benefits
- ALL PEOPLE ARE WELCOME in all our openings regardless of gender, sexual orientation, race/ethnicity, age, or disability.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisbuilding metricsSQLPower BIPythondata modelingData Warehouseanalytical modelsstrategic KPIsexploratory analysis
Soft Skills
structured analytical thinkingstrong communication skillsautonomyorganizational skillslogical reasoningcritical thinkingbusiness acumenresults orientation
Certifications
Power BI certificationscourses in data analysis