Key skills
ETLPythonSparkSQLArtificial IntelligenceELTData EngineeringData LakeBIPower BISaaSCommunication
About this role
Role Overview
- Conduct revenue performance analyses, evaluating trends, variations, and impacts on key metrics
- Collaborate with business and development teams to understand requirements and propose data-driven solutions
- Support the development of predictive models
- Assist in building, maintaining, and evolving data pipelines (ETL/ELT) and in organizing data architecture
- Ensure data quality, integrity, and governance, including documentation
- Communicate results and insights clearly and effectively
Requirements
- Degree in Statistics, Mathematics, Computer Science, or related fields
- Strong statistical knowledge
- Experience with Python, SQL, and Spark for data manipulation
- Intermediate/advanced Excel
- Familiarity with data modeling and architecture (Data Warehouse, Data Lake)
- Strong analytical, communication, and problem-solving skills
- Good business acumen
- Strong task and priority management skills
- Basic knowledge of data engineering and Artificial Intelligence (a plus)
- Knowledge and/or experience with the Microsoft Fabric stack (a plus)
- Knowledge and/or experience in SaaS and RevOps contexts (a plus)
- Knowledge and/or experience with Power BI (a plus)
Tech Stack
- ETL
- Python
- Spark
- SQL
Benefits
- Health insurance
- Dental plan
- Life insurance (extendable to legal dependents)
- Medication allowance (extendable to children)
- Transportation voucher or parking allowance
- Flexible meal/food allowance
- Wellhub (formerly Gympass) and TotalPass
- Day off during your birthday month
- Parental support program, NeoBaby
- Unico Skill, an educational solution for external training
- Childcare allowance
- Extended parental leave: 6 months for mothers and 30 days for fathers
- Referral program, bonuses, and more