Ipsos Mystery Shopping, part of Ipsos, is the largest mystery shopping agency in the world. We complete over a million assignments every year across all industry segments and organization sizes. Our clients benefit from our highly experienced team, global reach, local presence, research expertise and innovative approach. In the USA, we have a rapidly growing business and we are becoming one of the largest mystery shopping agencies in the industry.
We are looking for a Mystery Shopping Data Engineer in our Parsippany, New Jersey office
* Develop a solid understanding of Mystery Shopping operations and work closely with the teams to identify and help implement technology-driven solutions leading to greater operational efficiencies, higher quality and faster turn-around to clients. * Challenge the statu-quo and drive process improvements leveraging technology to ensure account profitability. * Build custom solutions, including sFTP data transfers, data cleaning and processing. * Become the expert and trusted advisor on all ShopMetrics-related and Sassie-related questions, from project setup to fieldwork management to online reporting. * Build, maintain and reinforce documentation, processes and procedures for ShopMetrics and Sassie. * Act as a liaison between the US Mystery Shopping service line, the Prague-based Platform team and the software providers (ShopMetrics/Sassie) to successfully design and implement custom solutions, while driving platform enhancements. * Provide day-to-day technical guidance and coaching to junior team members.
We are an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or any other protected class and will not be discriminated against on the basis of disability.
Associated topics: data analyst, data architect, data center, data integration, data manager, data management, data scientist, database administrator, etl, teradata
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.