Mainz Brady Group

Data Analyst

  • Mainz Brady Group
  • Beaverton, OR
  • Other
  • 9 days ago
Salary
N/A

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Job Description

WHO WE ARE LOOKING FOR

We seek a results-oriented and analytical individual who thrives in a cross-functional environment, adaptable to various topics and challenges. The right candidate will embody teamwork and leadership, bringing motivation, engagement, and creativity to the team each day. An inclusive mindset and team player mentality are essential, along with a detail-oriented approach to problem-solving. Effective communication with global teammates, an appreciation for cultural differences, and a curiosity-driven mindset are crucial. The ideal candidate will focus critically on Product and Material Integrity analytics, highlighting trends, opportunities, and insights to support the organization’s quality goals across Standards and Governance, Issue Management, and Material/Color Manufacturing teams.


WHAT YOU BRING

  • Bachelor’s degree or equivalent experience
  • 2-5 years of relevant work experience with an analytical background
  • Strong skills in Excel and Smartsheet
  • Proficiency in data visualization tools such as Tableau and Power BI
  • Familiarity with SQL; experience with Snowflake is preferred
  • Knowledge of Python or R is a plus
  • Alteryx experience is preferred
  • Ability to analyze large datasets, draw conclusions, and present coherent viewpoints
  • Project management skills
  • Comfort with ambiguity and a creative problem-solving mindset
  • Strong verbal and written communication skills
  • A collaborative spirit and ability to work with diverse teams
  • Passion for the brand and its values
  • Previous experience or coursework focused on procurement, operations, or supply chain is preferred
  • A track record of demonstrating entrepreneurial spirit in fast-paced environments

ADDITIONAL RESPONSIBILITIES

  • Review material and production data to identify improvements in reporting solutions and process automation (noting that much of this is decentralized).
  • Excel in data extraction and summarization.
  • Proficiency in Snowflake is required.
  • Utilize Tableau and/or Power BI to present data effectively to stakeholders.
  • Strong proficiency in Smartsheet and Excel is essential.

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