
Senior Business Analyst
Posted Jun 12

Posted Jun 12
This is a fully remote position, open to applicants in Brazil.
• Independently conduct quantitative business studies, starting from hypothesis formulation to data extraction, modeling, and creating strategic recommendations;
• Utilize statistical analyses to identify growth opportunities in the App channel, including correlations, customer segmentation, propensity analysis, and regression models focused on customer acquisition and contracting behavior;
• Track performance indicators for digital channels (conversion funnel, average ticket/transaction value, contract volume), diagnose any deviations, and recommend data-driven corrective measures;
• Assist in designing new features and user journeys, serving as a liaison between business and technology with a data-centric approach;
• Develop and maintain analytical dashboards using Power BI or similar tools to ensure KPI visibility for leadership;
• Take proactive measures to identify and eliminate barriers to team performance, leveraging data for decision-making.
• A Bachelor's degree in Statistics, Mathematics, Engineering, Data Science, Physics, or related fields, emphasizing a strong quantitative background;
• Proven experience in applied statistical analysis for business, including correlation, regression, hypothesis testing, and understanding statistical significance;
• Capability to independently extract, process, and analyze data without depending on a dedicated data team;
• Proficiency in SQL for analytical queries, including complex joins, aggregations, and subqueries;
• Familiarity with Power BI and advanced Excel skills (data modeling, DAX, pivot tables, statistical analyses);
• Prior experience in the financial or banking sector, with knowledge of credit products, digital channels, or customer behavior in applications.
• Preferred/Distinguishing qualifications include:
• Experience with Python or R for data analysis and statistical modeling;
• Knowledge of Snowflake, BigQuery, or other modern data warehousing solutions;
• Hands-on experience with A/B testing, including defining statistical significance, sample size determination, and result interpretation;
• Previous involvement with digital channels for payroll-deductible loans (consignado) or similar banking products;
• Experience with clustering, propensity, or customer segmentation models.
• Health insurance and Dental insurance
• Wellhub (Gympass)
• Transportation allowance (vale-transporte)
• Meal and food allowances (meal and food vouchers)
• Domo School (learning platform) and partnerships with educational institutions
• Private pension plan (retirement savings)
• Life insurance
• Day off
• Extended maternity and paternity leave
Gainwell Technologies
Inetum
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