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Job Description

The Data Engineer will partner with stakeholders to collect, analyze, and package data that supports strategic business planning in an onsite role.

Responsibilities

  • Collect data inputs from multiple sources and create workflows for data processing
  • Develop a deep understanding of data structures and the technology stack, including Tableau, Alteryx, and Azure SQL Server, plus database and cloud-storage, and Python
  • Design custom data sources and processes using data wrangling skills
  • Create dashboards, reporting tools, and repeatable workflows aligned to product development business objectives
  • Perform database management and maintenance
  • Partner with stakeholders to align on an approach for solving client challenges
  • Validate and test outputs to ensure accuracy and data quality
  • Support and train stakeholders on reporting tools and reports
  • Collaborate with a team of creative and passionate professionals

Requirements

  • Bachelor’s degree or equivalent work experience
  • 3+ years of data analytics and/or BI and Analytics experience
  • Interest in statistical modeling and machine learning algorithms, including regression, simulation, scenario analysis, clustering, decision trees, and neural networks
  • Demonstrated understanding of SQL, relational database structures, and cloud-based data platforms
  • Practical BI tool experience such as Tableau (preferred), plus Power BI, Looker, Qlik, etc.
  • ETL tool experience such as Alteryx (preferred), plus SSIS, Informatica, and Microsoft Fabric, etc.
  • Experience with cloud platforms and components including AWS and Azure, including their data transformation and ETL functionality
  • ETL / data integration experience, including web-scraping
  • Hands-on experience with modern object-oriented programming languages such as Python, R, Ruby, Java, or Scala
  • Web development experience with JavaScript, HTML, CSS, React.JS, Django, and Node.JS
  • Ability to use data to communicate insights through creative, engaging visualizations
  • Strong attention to detail, a speedy cadence, people skills, and a habit of continuous improvement

Technologies

  • Tableau, Alteryx, Azure SQL Server
  • Python, Power BI, Looker, Qlik
  • ETL, SSIS, Informatica, Microsoft Fabric
  • AWS, Azure
  • JavaScript, HTML, CSS, React.JS, Django, Node.JS
  • R, Ruby, Java, Scala

Benefits

  • Paid training and career development
  • On-site workout facility
  • Vacation time, personal days, and paid holidays
  • Company events
  • Medical/Dental/Vision
  • HSA
  • Prescription drug coverage
  • 401(k)

Location: Glenwillow, OH (onsite)

Role type: Not remote

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