Data Analytics

As part of the team, your main responsibilities will include:

• Design and implement enterprise-grade data pipelines and advanced analytical dashboards.
• Develop and optimize data ingestion, transformation, and modeling processes in structured and cloud-based environments.
• Leverage advanced SQL to build and deploy best-practice solutions using MICROSOFT FABRIC, SNOWFLAKE, and POWER BI, ensuring scalable, secure, and high-performance data products.
• Partner with cross-functional stakeholders to translate complex business and finance requirements, including OTC, STP, and RTR, into actionable data strategies.
• Develop robust, governed datasets to enable self-service analytics throughout the organization.
• Enforce and maintain data governance, quality, and compliance standards across all analytical initiatives.
• Foster a culture of technical excellence by sharing knowledge, promoting best practices, and scaling data engineering capabilities within the team. Requisitos del puesto: Basic

• Professional fluency in English (written and verbal) for collaboration in international environments.
• Bachelor degree in Mathematics, Engineering, Economics, or a related field, with a strong emphasis on quantitative analysis.
• Advanced mastery of MICROSOFT EXCEL, including data modeling, complex formulas, and advanced analytics.
• Advanced SQL skills, with a focus on querying, transforming, and optimizing large-scale datasets.
• Solid understanding of ETL processes (extraction, transformation, and loading), including integration with various sources and endpoints. Preferred

(Nice to Have):

• Advanced SAP knowledge, specifically regarding table structures and data models.
• Background in Finance or financial processes, ideally within a corporate setting.
• Hands-on experience or familiarity with MICROSOFT FABRIC and/or SNOWFLAKE.
• Proficiency in programming languages for data science or engineering (e.g., PYTHON, R).
• Additional certifications or academic projects specialized in advanced data analytics. Formación: Ingeniero Técnico , Grado , FP Grado Superior Idiomas: Inglés : B2 Experiencia: 1 año Tus beneficios:
• Remote
• Work: 2 days per week (Hybrid model).
• Working Hours: From 08:00 to 17:00 (with one-hour flexibility for both start and end times).
• Vacation & Leave: 22 working days + approximately 8.5 compensatory days (pro-rated based on contract duration).

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