Apogee Enterprises, Inc.

Supply Chain Data Analyst

MINNEAPOLIS, MNPosted 30+ days ago

Job summary

  • Job post source

    This job is directly from Apogee Enterprises, Inc.

  • Job overview

    The Supply Chain Data Analyst at Apogee Enterprises is responsible for mining, analyzing, and interpreting data to provide insights that support business decisions and improve operational efficiency.

  • Responsibilities and impact

    The analyst gathers and cleans data from various sources, develops databases and scripts, analyzes business processes, creates reports and visualizations, ensures data quality, collaborates with stakeholders, and participates in the Data Analytics Council to improve data processes and decision-making.

  • Compensation and benefits

    The salary range is $50,000 to $75,000 with a comprehensive benefits package including medical, dental, vision, life, disability insurance, incentive plans, 401(k) with employer match, employee stock purchase plan, paid time off, holidays, tuition reimbursement, employee assistance, wellness programs, and training opportunities.

  • Experience and skills

    Requires a bachelor's degree in Supply Chain/Operations or Data Analytics with at least 2 years of experience, proficiency in Python, R, SQL, Tableau, Power BI, and MS Office, strong communication, problem-solving skills, and familiarity with ERP, engineering, project management, and MES systems is preferred.

  • Career development

    The company offers training and career progression opportunities to support professional growth.

  • Work environment and culture

    Apogee values employee well-being, diversity, and inclusion, fostering a supportive and equal opportunity work environment with a focus on collaboration and continuous improvement.

  • Company information

    Apogee Enterprises, founded in 1949 and headquartered in Minneapolis, MN, is a leading provider of architectural products and high-performance coated materials with annual revenues nearing $1.5 billion.

  • Job location and travel

    The company is headquartered in Minneapolis, MN; specific work location details are not provided but likely involve collaboration across business segments.

  • Unique job features

    The role involves working with complex datasets to build simple frameworks, using advanced data tools and participating in a Data Analytics Council to share best practices.

Company overview

Apogee Enterprises, Inc. is a prominent player in the architectural products and services industry, specializing in the design and development of glass and metal products for commercial buildings. They generate revenue through the sale of high-performance architectural glass, custom windows, and curtainwall systems, as well as through installation and maintenance services. Founded in 1949, Apogee has a rich history of innovation and has grown through strategic acquisitions and expansions, positioning itself as a leader in energy-efficient building solutions.

How to land this job

  • Position your resume to highlight your expertise in data mining, analysis, and visualization, focusing on tools like Python, SQL, Tableau, and Power BI as emphasized by Apogee Enterprises.

  • Emphasize your experience with data governance, KPI development, and improving business systems, showcasing your ability to translate complex datasets into actionable business insights.

  • Apply through multiple channels including Apogee Enterprises' official corporate careers page and LinkedIn to maximize your application visibility and ensure it reaches the right hiring managers.

  • Connect with current employees in Apogee's data analytics or supply chain divisions on LinkedIn; start conversations by referencing recent company projects, expressing interest in their data initiatives, or asking for advice on succeeding in the role.

  • Optimize your resume for ATS by incorporating key phrases from the job description such as 'data acquisition,' 'data governance,' 'statistical analysis,' 'data visualization,' and specific tools like 'Python,' 'SQL,' and 'Tableau' to pass automated screenings.

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