Data Analytics Coordinator

4 semanas atrás

São Paulo, São Paulo, Brasil Shoplo is now SumUp Tempo inteiro

Join to apply for the Data Analytics Coordinator role at Shoplo, now SumUp .

We're a lean, impact-driven Revenue Operations team embedded in Sales & Growth, focused on Brazil while collaborating globally. We unify data, automate operations, and enable faster, smarter decisions across channels, partnering with global teams on models, KPIs, and visualizations.

As a Data Analytics Coordinator, you will lead 4-5 team members and serve as the technical reference for developing, optimizing, and maintaining data infrastructure across Sales & Growth. You will own the strategy and execution of our data infrastructure and automation roadmap, bridging data and business with high ownership.

What You'll Do
  • Develop, optimize, and maintain data infrastructure and analytics platform within Sales & Growth.
  • Automate data-related and operational processes to improve speed, quality, and scalability.
  • Lead growth automation initiatives from scoping to delivery, monitoring, and measurement.
  • Establish data quality, testing, documentation, and governance standards.
  • Collaborate with Brazil and global Data Analytics Chapters on models, KPIs, and best practices.
  • Develop reports and presentations to communicate insights clearly to leaders for decision-making.
  • Manage the Data Analytics team to drive impact and upskill technical capabilities.
You'll Be Great for This Role If
  • You have advanced or fluent English and can collaborate with global teams.
  • You have advanced SQL skills for complex queries at scale.
  • You have experience with data transformation and modeling (ETL/ELT).
  • You have experience with data visualization tools like Tableau or Power BI.
  • You have proven leadership in projects and influencing technical decisions.
  • You possess strong analytical, stakeholder management, and communication skills.
  • You are comfortable defining OKRs, measuring outcomes, and iterating based on data.
Nice to Have
  • Experience with DBT, Airflow, and Git workflows.
  • Production experience with Python for data processing and automation.
  • Knowledge of statistics and experimentation for decision-making.
  • A data engineering background with scalable data systems knowledge.
Additional Information

We recognize that candidates may not meet 100% of the criteria. If you don't tick every box, it's okay—this is an opportunity to learn and grow at SumUp.

Job Details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology
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