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Senior Analytics Engineer

Lyrise is a company that offers data-driven consulting services.
Data
Senior Software Engineer
Hybrid
4+ years of experience
AI
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Description For Senior Analytics Engineer

We are seeking a skilled Senior Analytics Engineer with 4-5 years of experience to join our team on data-driven workstreams. This is a project-based role for six months, with the potential for relocation to Dubai and travel to Iraq. The ideal candidate will conduct data analysis and manage data-related workstreams to support consulting projects. Key responsibilities include performing automated API requests and database crawling using Python and SQL, conducting data analysis in Excel, and creating insightful presentations in Python. The role requires effective collaboration with consulting teams and clients, clear communication of insights, and flexibility with working hours and location based on project needs. The successful candidate will have strong skills in Python (especially for API automation and data visualization) and SQL, proficiency in Excel for data analysis, and the ability to present data insights to both technical and non-technical audiences. Independence, adaptability, and a solution-oriented approach to problem-solving are essential qualities for this position. Join our team and contribute to impactful data-driven projects in a dynamic consulting environment.

Last updated 8 months ago

Responsibilities For Senior Analytics Engineer

  • Conduct data analysis and manage data-related workstreams to support consulting projects
  • Perform automated API requests and database crawling using Python and SQL
  • Conduct data analysis in Excel and create insightful presentations in Python
  • Collaborate effectively with consulting teams and clients, communicating insights clearly
  • Demonstrate flexibility with working hours and location based on project needs

Requirements For Senior Analytics Engineer

Python
  • 4-5 years of hands-on experience in data analytics
  • Strong skills in Python (especially for API automation and data visualization) and SQL
  • Proficiency in Excel for data analysis
  • Effective communication skills for presenting data insights to both technical and non-technical audiences
  • Independence, adaptability, and a solution-oriented approach to problem-solving

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