
Data Analytics Leader
Há 13 horas
We are looking for a skilled Data Analytics Specialist to join our Revenue Operations team. As a key member of the team, you will play a crucial role in unifying data, automating operations, and enabling faster, smarter decisions across channels.
">This is a great opportunity for someone with advanced SQL skills, experience with data transformation and modeling (ETL/ELT), and proficiency in data visualization tools like Tableau or Power BI.
">You will lead growth automation initiatives from scoping to delivery, monitoring, and measurement. Additionally, you will establish data quality, testing, documentation, and governance standards.
">As a Data Analytics Specialist, you will collaborate with global teams on models, KPIs, and best practices. You will also develop reports and presentations to communicate insights clearly to leaders for decision-making.
">Key Responsibilities:
">- Develop, optimize, and maintain data infrastructure and analytics platform.
- 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 global teams on models, KPIs, and best practices.
- Develop reports and presentations to communicate insights clearly to leaders for decision-making.
Ambition:
">- You have advanced English language skills 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.
Desirable Skills:
">- Experience with DBT, Airflow, and Git workflows.
- Production experience with Python for data processing and automation.
- Knowledge of statistics and experimentation for decision-making.
- Data engineering background with scalable data systems knowledge.
What We Offer:
">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 with us.
">Job Details:
">Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
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