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French • windsor on
- Promoted
Data Enrichment Specialist (Animal Health - French Speaker)
KynetecNot Specified, Ontario (ON), Canada- New!
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KynetecNot Specified, Ontario (ON), Canada- Permanent
About the Company
At Kynetec, we're proud to be at the forefront of the intersection between agriculture, sustainability, and animal health. We're redefining our industry with unparalleled insights and leading technology, whilst on an ambitious growth plan to supersede our influence from the food on our plates, to the health of our livestock and the care of our beloved pets at home.
We owe our success to our industry experts. They are the driving force behind our reputation as a global leader in the industry - Their innovative ideas and expertise have helped us achieve new heights. From seasoned insights specialists, and client leaders to innovative tech genius. What connects us? A shared passion for Agriculture and Animal Health! We don't settle for "business as usual".
Each day, we are taking strides towards transforming our industry and improving the lives of people and animals around the world. If you're looking for a company who challenges the norm and fosters a culture of innovation, Kynetec is the place for you.
About this Role :
This role would be joining our Animal Health Team. The position is full-time, permanent and 100% remote.
The Data Enrichment Specialist will leverage their animal health industry expertise to analyze and enhance coded products and services derived from digital transaction feeds sourced from veterinarians. This role is crucial in ensuring data accuracy and enriching our database, ultimately contributing to improved insights and decision-making in the animal health sector.
Responsibilities :
- Standardize and confirm the accuracy of coded products and services derived from digital transaction feeds.
- Stay updated on new products and services in the animal health sector.
- Leverage your knowledge of animal health to pinpoint incomplete information within the data.
- Work closely with cross-functional teams to enhance data quality and applicability.
Requirements :