Open to Remote | Operations


Why Join?

DeepHow is the first AI solution for learning and training skill trades. Their ethos is that technology should help people, not replace people. Its origin began at Siemens Lab, with HQ in Detroit. They are offering solutions for people that want to learn trades, and for those employed to share their knowledge.


Your Mission:

As a Data Analyst, you will apply statistical methods to collect, interpret and summarize data as well as make predictions and recommend actions based on data driven findings. This position is a hybrid role in that it is necessary to understand both technical and mathematical concepts as well as recognize how they relate to business needs across various departments. 


You Can Expect To:

  • Work with stakeholders to identify opportunities for leveraging company data to drive business solutions
  • Participate in meetings with teams, such as sales, operations, product, and AI Engineering, to learn about their processes and determine which metrics can support their functions within DeepHow
  • Create data analysis tools, such as dashboards and Jupyter notebooks, to provide metrics
  • Run statistical analysis, such as regression analysis, to determine the efficacy of metrics and identify data patterns and trends
  • Analyze information critically and propose creative, data-backed solutions and strategies to business challenges
  • Present information logically and in a clear manner using data visualization techniques to peers and clients
  • Coordinate with other teams to implement models and monitor outcomes
  • Document all processes and research


Who You Are:

  • Bachelor’s degree in computer science, statistics, applied math or related field is required; master’s degree is preferred
  • 1-3 years’ experience is required 
  • Thorough understanding of SQL and Python is required
  • Familiarity with NoSQL, GCP and dashboarding tools is preferred
  • Experience using business intelligence tools and data frameworks is preferred
  • Adept at using data sets to find opportunities for process optimization and using models to test the effectiveness of different courses of action
  • Detail-oriented
  • Excellent verbal and written communication skills – works closely with other departments and must actively listen to identity root issues
  • Strong math and critical thinking skills 
  • Problem-solving aptitude 
  • Enjoys working independently but also thrives in a collaborative team environment 
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