Data Analytics Engineer Sr.

hace 4 semanas


Ciudad de México Stori Card - MX A tiempo completo

The Role

As a Sr Analytics Engineer at Stori you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged on three types of work – Innovation, Business Intelligence, and Data Management:

Innovation

  • Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms.
  • Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers.
  • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives.

Business Intelligence

  • Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization.
  • Drive analysis that provides meaningful insights on business strategies.

Data Management

  • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
  • Work with business teams to understand the business needs and translate them into technical requirements.
  • Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance.
  • Build and execute tools to monitor and report on data quality.

Requirements

  • A bachelor's degree or foreign equivalent in Engineering, Science, Operations Research, Information Technology, Statistics, Mathematics, Economics, Finance, Analytics, or a related quantitative analytical field.
  • SQL and Python.
  • Proven interpersonal, collaboration, diplomatic, influencing, planning, and organizational skills.
  • Consistently demonstrate clear and concise written and verbal communication.
  • Proven ability to effectively use complex analytical, interpretive, and problem-solving techniques
  • Demonstrated ability to work under pressure and to meet tight deadlines with proactive, decisiveness, and flexibility.
  • English Fluent/proficient.
  • 2 or more years of experience in quantitative and qualitative analysis using SQL or Python.
  • 2 or more years of working experience in data analytics or data management
  • 2 or more years of experience in the finance industry
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