Data Analyst (Breakthrough)

US Venture•Ashwaubenon, WI
•Hybrid

About The Position

As a member of the Analytics team, the Data Analyst helps develop creative solutions and analytical insights for stakeholders across the organization. The role supports and guides others on the analytics team, contributes to the Data Intelligence organization, and develops technical and interpersonal skills while creating useful solutions for end users. The position is based on-site in Green Bay, with work in the office Monday through Thursday and an optional remote day on Fridays as business needs allow. The analyst collaborates with cross-functional teams to define analytical requirements, identify metrics, and develop solutions to business challenges. They acquire and cleanse data, conduct thorough analyses, manage and complete tickets, and develop analytical processes that meet business needs while maintaining data accuracy and company standards. The analyst develops and maintains dashboards, reports, and visualizations; completes exploratory analyses and analytical deep-dives; and presents findings to internal and external stakeholders. They work with senior team members, take direction on projects, help mentor and train new team members, and contribute ideas and recommendations informed by business needs, technical expertise, industry trends, and emerging practices.

Requirements

  • Bachelor’s or Master’s degree in Business Administration, Data Analytics, Economics, Statistics, or a related field involving problem-solving and critical thinking, or equivalent work experience.
  • At least 3 years of experience in an analytics, data, or supply chain role.
  • Experience developing and presenting effective data visualizations used in decision-making.
  • Basic understanding of database concepts and data modeling principles.
  • Proficiency in SQL, data management, and data visualization.
  • Strong problem-solving skills and ability to navigate analytical and data-related challenges.
  • Attention to detail and ability to consider problems from multiple perspectives.
  • Strong communication skills and ability to explain analytical outcomes to technical and non-technical stakeholders.

Nice To Haves

  • Working knowledge of Python or R.
  • Strong business acumen; a background in supply chain, transportation, and/or energy is preferred.

Responsibilities

  • Acquire and cleanse data.
  • Conduct thorough analysis, exploring data nuances and considering inputs and outputs from multiple perspectives.
  • Collaborate with cross-functional teams to define analytical requirements, identify key metrics, and develop solutions to business challenges.
  • Manage and complete tickets.
  • Use knowledge of business processes and data structures to create meaningful, data-driven insights.
  • Develop analytical processes that meet business needs while maintaining accuracy and company data standards.
  • Develop and maintain dashboards, reports, and data visualizations to communicate findings to stakeholders.
  • Complete analytical deep-dives and exploratory analyses in response to business requests.
  • Contribute innovative concepts and approaches to the Data Analytics organization.
  • Understand stakeholder needs and help develop solutions for end users using business acumen and technical expertise.
  • Continue developing technical and interpersonal skills and foster a collaborative environment.
  • Stay current with industry trends, emerging technologies, and data analysis best practices, and recommend improvements and new capabilities.
  • Communicate and collaborate with stakeholders at all organizational levels to build rapport and credibility.
  • Work with senior team members to develop skills and improve task execution across organizational areas.
  • Mentor and train new team members on business processes, tools, and company coding and solution-creation standards.
  • Complete and iterate on analytics for product-line stakeholders to meet end-user needs while maintaining accuracy and data standards.
  • Continue learning data analysis methods, data visualization development, and skills applicable to various software platforms.
  • Take direction from senior team members to advance analytical projects.
  • Guide new team members through documentation and help guide their tasks.
  • Present analysis results to internal and external stakeholders at varying organizational levels.
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