Data Analyst

Data Analytics Minneapolis, Minnesota, United States

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Summary

Managed and analyzed large datasets using SQL and Python, performing data cleaning, transformation, and statistical analysis to provide actionable insights that improved the company's decision-making processes.
Led the development and maintenance of KPI dashboards that provided real-time data insights for multiple departments. These dashboards helped stakeholders make informed decisions and improve overall performance.
Developed and implemented data-driven solutions that improved business outcomes and drove growth, such as identifying opportunities for cost savings and revenue growth.
Led cross-functional teams to implement data-driven strategies, working closely with stakeholders from different departments such as purchasing, logistics, sourcing, and product development.
Developed and implemented streamlined business processes and workflows that resulted in significant time savings for multiple departments, improving efficiency and productivity.
Initiated a new communication process that enabled better collaboration with our offshore team, resulting in improved efficiency and productivity. Additionally, I implemented innovative data capture techniques that had not been utilized before, which enabled us to better monitor our supply chain practices. Moreover, I initiated an approval process to analyze container utilization during the pandemic, ensuring that we maintained efficient supply chain practices.
Recognized the need for capturing additional data points and implemented this approach to enable more informed decision-making across teams.

Expectations

Seeking a challenging position in a dynamic organization where I can leverage my skills and experience to drive data-driven solutions and contribute to the growth and success of the company.