Hybrid Data Analytics Specialist, Customer Service

at Page Personnel

• Job title: Data Analytics Specialist, Customer Service
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL, Tableau
• Location requirements: Hybrid, Sao Paulo, Brazil

About the role

• Data Analytics Specialist collaborating with teams to enhance data-driven decisions at Red Bull. Focused on operational efficiency and customer service analytics.

Responsibilities

• Assigned to the Customer Service team, focused on strengthening analytics capabilities and supporting the area’s decision-making;
• Model, clean and consolidate data from multiple sources (sell-out, inventory, orders, service level, etc.), building integrated and reliable datasets;
• Create and maintain interactive dashboards and reports in Power BI, focused on metrics such as Fill Rate, OTIF, out-of-stock rate, cycle time and service performance;
• Automate analytical processes using scripts (Python) and scheduled jobs;
• Develop predictive models and statistical analyses (regression, out-of-stock trend analysis, demand forecasting);
• Translate business needs into analytical solutions, working closely with Logistics, Commercial, Trade and Field Marketing teams;
• Turn data into practical actions, supporting the customer service team with actionable and easy-to-read information;
• Identify opportunities for continuous improvement and operational efficiency, proposing solutions that deliver business value.

Requirements

• Bachelor’s degree in Engineering, Statistics, Mathematics, Computer Science or related quantitative field;
• Solid experience in data analysis and modeling, with a focus on generating actionable insights;
• Proficiency in Power BI, Python and Snowflake;
• Knowledge of SQL and complementary tools (Tableau, Looker, among others) is desirable;
• Ability to build and automate dashboards and performance indicators;
• Previous experience in consumer goods companies or environments with high data volume;
• Advanced English for interacting with global teams and requesting tool access;
• Ownership mindset and autonomy to propose solutions and implement improvements;
• Curiosity and analytical mindset, with interest in new technologies and continuous improvement;
• Strong communication skills, able to translate technical data into clear and relevant business information;
• Collaborative working style, with ease connecting different areas;
• Resilience and adaptability, taking initiative in a developing environment.

Benefits

• Hybrid work model (3 days on-site, 2 days remote);
• Market-competitive benefits (meal/food vouchers, health insurance, life insurance, among others);
• Dynamic, collaborative environment with opportunities for growth within the operations area.