Data Recognition Lead
About Label Insight
Label Insight is a rapidly growing VC backed startup growing in both the Saint Louis and Chicago markets. We are the industry’s most powerful and innovative CPG product data insight exchange for CPG manufacturers and retailers. The industry’s largest retailers and manufacturers rely on our platform as an integral solution to manage their product data, increasing their ability to respond to the demands for transparency in the market. Label Insight’s partnership with the FDA, proprietary technology, and scientific data structures set us apart from all other solutions in the industry. Our mission has always been to make vast amounts of product label data accessible and easily analyzable. Check out more about Label Insight, our culture, and our employees here.
About The Role
We are looking to hire a recognition lead on our Operations team. This position will maintain our external teams and data recognition processes. This includes category assignment, claim recognition, and IEE unknown & PID (our ingredient recognition teams). This role reports to the Data Transformation Manager but is required to liaise with all three operations channels to help manage priority, throughput, and quality. Ultimately, this role will help to strategize and streamline the recognition work and provide reports and recommendations. This person will meet with internal teams and communicate needs outward. This person should be very self motivated and thrive in a fast paced and rapidly changing start-up environment. The ability to multi-task, manage numerous priorities, communicate, and a strong interest in the CPG industry will help a candidate succeed in this role. Experience in data analytics and reporting is preferred and a bachelor’s degree and experience using SQL is required.
Hire, train, communicate with and manage external team staff members.
Understand and balance the needs of the business by communicating with internal customers.
Utilize the understanding of priorities to set expectations of throughput and quality.
Create standard reporting methods capable of analyzing numerous data points and conditions and eventually able to predict future burndowns and workflow requirements.
Understand the platforms used by the external team members and begin to make suggestions to help improve the quality and throughput of the teams-- leading to additional automation.
Write, run, and interpret advanced SQL query results.
Lead individual quarterly projects as assigned
Provide status updates to management addressing project status, risks and issues
Escalate issues as necessary to data and operations management.
Motivated and conscientious self-starter
Data driven decision maker
Ability to thrive working in a fast-paced team environment
Have a passion for driving product transparency
Desire to grow and develop a career
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