Mid-level Data Analyst, Product

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Serve as a Data Analyst, collaborating with product teams and cooperating with fellow data professionals (Analytics Engineers, Data Analysts, and Data Scientists).

• Design and conduct experiments and A/B tests to evaluate and verify product-related assumptions.

• Utilize advanced statistical techniques such as regression analysis, hypothesis testing, and time series models.

• Develop reports and dashboards employing data visualization tools (like Metabase and Databricks Lakeview) to present findings and recommendations.

• Play a role in the advancement of the data catalog by closely partnering with the Analytics Engineering team.

⛳️ Requirements

• Practical experience in data analysis using Python.

• Proficient in SQL.

• Understanding of causal inference, particularly in relation to A/B testing.

• Experience in applying advanced statistical techniques such as regression analysis, hypothesis testing, and time series models.

• Hands-on experience in developing data products as a data scientist or analyst.

• Degree in one of the following disciplines: Data Analysis, Data Science, Computer Science, Information Systems, Engineering, Physics, Mathematics, or related fields.

• Professional experience with BI tools (Metabase, Tableau, Power BI, etc.) for creating reports and dashboards.

• Capability to convey analysis results to stakeholders with varying levels of technical and data literacy.

🏝️ Benefits

• Medical and dental insurance with no copay.

• Life insurance.

• Subsidy for medication purchases and fitness activities.

• Partnership with Neon for employee financial wellness.

• 4 complimentary therapy or nutritionist sessions per month.

• Flexible food allowance.

• Free meals at the headquarters.

• Childcare assistance.

• Parental support program.

• Extended maternity and paternity leave.

• In-house training.

• Education assistance covering 70% of tuition for degree programs and language courses.

• Home office allowance.

• Work equipment provided.

• Furniture allowance.

• Partnership with WOBA for access to coworking spaces.

• Birthday day off.

• Happy Hour allowance.

• Referral bonus for new hires.

• Annual performance-based bonus.

• Stock options plan.

• Casual, relaxed work environment with no dress code.