Principal Supply Chain Data Analyst

Principal Supply Chain Data Analyst

About the role:

At Samsara, we are committed to innovation and excellence in our operations, and our supply chain is at the heart of our success. We are seeking a talented and experienced Principal Supply Chain Data Analyst to join our team. This role is crucial for leveraging data to drive strategic decision-making and optimize our supply chain processes. The ideal candidate will be adept in various data analysis disciplines, passionate about extracting meaningful insights from complex datasets, and skilled in communicating these insights to support our business objectives.

You should apply if:

  • You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
  • You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, and countless opportunities to experiment and master your craft in a hyper-growth environment.
  • You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
  • You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. 

In this role, you will: 

  • Lead the development and modernization of Operations data platforms and infrastructure, employing advanced data analysis and modeling techniques.
  • Utilize modeling, statistics, trend analysis, and other techniques to collect and analyze large, complex data sets across the entire operations ecosystem.
  • Provide enhanced reporting systems and deliver reliable information in a timely manner.
  • Engage in supply chain budgeting, forecasting, variance analysis, and the preparation of business reviews and presentations.
  • Manage special projects requiring in-depth analysis of supply chain data.
  • Specialize in using advanced analytical methods to identify trends and insights.
  • Transform raw data into actionable business intelligence using presentation tools such as ThinkCell, Tableau, and Google Workspace.
  • Generate rapid ad hoc reports and maintain datasets for executive decision-makers.
  • Integrate data from multiple sources to produce information dashboards and reporting tools.
  • Plan and develop easy data access methods for key stakeholders.
  • Ensure data integrity, quality, and appropriateness.
  • Develop methods and systems to analyze unstructured data.
  • Generate insights and solutions for stakeholders and communicate findings effectively.
  • Construct predictive models and algorithms, including the use of emerging technologies.
  • Validate the effectiveness of executive reports and continuously improve our data analysis methodologies.
  • Strong initiative and comfort with ambiguity, ready to lead projects from the ground up without established roles and responsibilities.
  • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

  • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, with 8-10 years of relevant experience in data analysis or a related field.
  • Proven experience in a similar role.
  • Strong proficiency in data analysis tools and software.
  • Excellent understanding of supply chain processes and data analytics.
  • Demonstrated ability to manage large datasets and complex analytical projects.

An ideal candidate also has:

  • Experience with advanced statistical methods or AI tools.
  • Proficient in programming languages such as Python, R, or SQL.
  • Exceptional problem-solving skills and attention to detail.
  • Excellent communication and presentation skills, capable of conveying complex data insights in a clear and engaging manner.
  • Positive mindset and willingness to seek challenges.
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