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Data Science Engineer

Posted about 8 hours agoViewed

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💎 Seniority level: Junior, 2+ years

📍 Location: United States, Canada, Costa Rica

🔍 Industry: Building Products

🗣️ Languages: English

⏳ Experience: 2+ years

🪄 Skills: SQLData AnalysisData MiningETLMicrosoft Power BIData visualizationData modeling

Requirements:
  • 2 years+ experience: Microsoft Power BI
  • Advance EXCEL knowledge
  • Basic knowledge of R, SQL and Python
  • 1 year experience/ Intermediate – advanced knowledge in Power Query, M and DAX language.
  • Excellent communication and presentation skills
  • Results driven and able to handle multiple projects
  • Advanced level of experience with business intelligence tools (e.g., Power BI, Power Query)
  • Strong mathematics skills (e.g., statistics, algebra)
  • Excellent analytical and problem-solving skills associated with working on unstructured datasets
  • Ability to communicate complex data in a simple, actionable way
  • Ability to visualize data in the most effective way possible for a given project or study
  • Ability to work independently and with team members from different backgrounds
  • Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
  • Excellent attention to detail
  • College Degree required (Statistics, Industrial Engineer, or related field).
Responsibilities:
  • Building required infrastructure for optimal extraction, transformation of complex sets of data and loading of data from various data sources
  • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics
  • Ensure deliverables have Executive presence and efficient processes
  • Creating insightful reports and presentations for business uses; Works beyond requirements to have visual storytelling and scalability
  • Identifying, designing, and implementing internal process improvements including re-designing processes for greater scalability, optimizing data delivery, and automating manual processes
  • Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
  • Ensure data architecture, data model and dashboards standards are followed
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