Business Intelligence Engineer II

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Company: IntePros

Location: Bellevue, WA 98006

Description:

Business Intelligence Engineer II
We are seeking a Business Intelligence Engineer with a strong background in data analysis, visualization, and business intelligence solutions. This role will focus on leveraging data to drive sustainability and waste reduction efforts.

Key Responsibilities:
  • Provide robust BI solutions for complex problems that are extensible and scalable.
  • Understand high-level business objectives and align work to meet these goals.
  • Refine data strategies across functional teams and make technical trade-off decisions for long- and short-term needs.
  • Learn and utilize a broad range of data resources effectively.
  • Support cross-functional teams on daily execution of projects and initiatives.
  • Act as a liaison between business and technical teams to deliver actionable insights.
  • Drive best practices in operational excellence, data modeling, and analysis.
  • Write high-quality SQL and Python code to retrieve, analyze, and visualize data.
  • Develop dashboards and self-service reports to monitor business performance.
  • Maintain accounts related to tools and dashboards.
Top 3 Must-Have Skills:
  • SQL Coding
  • Data Visualization
  • Business Acumen / Basic Statistical Knowledge
  • Skills & Experience Required:
    • 4+ years of experience in data analysis, business intelligence, or related fields.
    • Proficiency in SQL, Python, and data visualization tools.
    • Strong analytical problem-solving skills.
    • Experience working with data pipeline architecture.
    • Ability to work cross-functionally with technical and non-technical teams.
    • High attention to detail and ability to deal with ambiguity.
    Preferred Qualifications:
    • Experience with sustainability initiatives or packaging automation.
    • Knowledge of BI tools.
    • Experience in mentoring junior team members.
    This is an exciting opportunity to be a core part of a team that drives sustainability efforts, enhances automation, and reduces waste while working in a highly analytical and fast-paced environment.

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