Data Analyst focusing on building a future - oriented data platform for an E - Commerce company. Responsibilities include data modeling, forecasting, and collaborating with various stakeholders.
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.
Job title
Job type
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Not specified
Degree requirement
Tech skills
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