Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.
Please note this in on-site 5days per week in West Chester, OH office 9am-5pm
We are seeking a detail-oriented and highly motivated Data Conversion Specialist I to join our team. In this role, you will be responsible for extracting, transforming, and loading (ETL) data from various sources into our systems, ensuring accuracy and data integrity. You will work closely with project teams and clients to facilitate seamless data migrations and conversions, supporting new implementations and business initiatives. Experience leveraging APIs for data integration and familiarity with Deal Management Systems is highly valued in this position.
Current Tekion Employees – Please apply via Greenhouse Internal Job Board
Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.
For more information on our privacy practices, please refer to our Applicant Privacy Notice here
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