Database Technician

NiowaveLansing, MI
2d

About The Position

The Database Technician is responsible for assisting the Senior Database Engineer with day-to-day tasks, data validation, and routine system support to ensure that data used across the organization is accurate, organized, and ready for reporting.

Requirements

  • Associate’s degree in computer science or data science, information systems, or a related field or equivalent experience
  • Strong analytical and mathematical skills for measuring, and optimizing database performance and data integrity
  • Embraces and models the Niowave Core Values of Teamwork, Courage, Integrity, and Upright Zeal
  • Understands your own communication and learning styles, can assess others’ styles, and is able to find the right path to best connect with colleagues
  • Displays excellent interpersonal, written, and oral communication skills
  • Exceptional aptitude with technology platforms
  • 2+ years of experience with SQL and basic understanding of relational databases
  • 2+ years of experience using Python for automation or data preparation tasks
  • Demonstrated experience with Excel, CSV formatting, and data cleanup
  • Familiarity with Power BI or other reporting tools
  • Please provide a cover letter specifically describing the nature of your background and experience as it relates to this position.

Nice To Haves

  • Bachelor’s degree in computer science or data science, information systems or a related field
  • 3+ years of experience with SQL and strong understanding of relational databases
  • 3+ years of experience using Python for automation, data preparation, and validation tasks
  • 3+ years of experience in data modeling, analytics, or database fundamentals
  • Hands on experience utilizing Power BI or other reporting tools for delivering actionable insights from complex database systems
  • Strong proficiency and experience with Excel, CSV formatting and data cleanup
  • Experience with SharePoint databases, MasterControl, or similar systems

Responsibilities

  • Running basic SQL queries and assist with data validation
  • Updating and maintaining data tables under guidance
  • Supporting Power BI dataset refresh checks and preparing data used in dashboards
  • Utilizing Python for simple automation or data-preparation scripts
  • Pulling and organizing data from SharePoint, MasterControl, and other systems.
  • Preparing and cleaning Excel/CSV datasets
  • Maintaining documentation, data dictionaries, and change logs
  • Supporting light ETL workflows by running predefined processes
  • Communicating with cross-functional stakeholders and clarifying routine data needs
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service