Esperanza S.

Inside Sales Representative at StatLab

Esperanza S. has extensive experience in sales and customer service, with a career spanning over a decade in various roles across leading companies. Esperanza worked as an Inside Sales Representative at StatLab from July 2022 to July 2024, previously serving as a Sales Representative at Liberty Mutual Insurance from April 2021 to July 2022. Prior experience includes a position as Customer Care Specialist, Expert 1 at MilliporeSigma, and as a Customer Service Representative at Wells Fargo. Esperanza began the career as an Insurance Broker at Freeway Insurance Services, Inc. from May 2011 to September 2014. Educational achievements include a Bachelor's degree in General Studies from Southern New Hampshire University and an Associates of Science in Pharmacy from San Joaquin Valley College-Ontario.

Location

Rocklin, United States

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StatLab

StatLab is a leading specialty supplier exclusively focused on providing histology, cytology and immunohistochemistry consumable supplies to more than 3,000 anatomic pathology laboratories throughout the United States. Our foundation is rooted in customer service excellence and we recognize that product cost is but one aspect of the total value stream. Being able to offer consistent, reliable, and error-free service minimizes the total cost of doing business with StatLab and requires prioritization of service excellence throughout the organization. Continuous improvement efforts have resulted in a 98.1% same day fill rate, a 99.8% order accuracy rate, and an average “on-hold” wait time of less than 10 seconds when calling our customer service department. These are just some of the reasons we are the fastest growing histology consumable provider in the industry. Our purpose reflects the role we think we play: To enable our customers to provide cost-effective patient care. We take pride in the fact that we help our customers help patients by providing them with (1) high-quality products (consistent, reliable, and predictable), (2) delivered on time and (3) at a fair price. 1+2+3 = “cost-effective”.


Employees

51-200

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