Item Data Quality Analyst

Item Data Quality Analyst (IDQA)

The pay range is $58,100.00 - $. Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.

Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at

About Us:

As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America’s leading retailers. Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play.

We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It's how we care, grow, and win together.

Right along with Target's distinctive retail brand, we are constantly improving and innovating our digital shopping experience. Are you ready to excel in the fast-changing retail environment? Are you a customer service enthusiast who's curious about the guest and can see the shopping journey through their eyes? Then you'll have success on the Digital Strategy & Platform team, whose goal is to offer guests a seamless online shopping experience across our platforms—including  and the store network's fulfillment capabilities.

Here, you'll collaborate to create and implement the digital strategies that enrich the online experience through the right mix of personalization, simplicity and intuitiveness. Your ideas will support Target in complementing the beloved in-store shopping interaction with a convenient, reliable and instantly gratifying digital experience.

The data entered into our item setup systems can make or break a positive experience for our guest. It's the mission of the Data Quality team, using best in class data governance checks, to reduce and improve friction points for our guest on  and in stores. As an Item Data Quality Analyst, you would join a global industry leading team, specializing in data management and governance.

You would focus on large data quality initiatives, handling data remediation and help guide Target towards a preventative state for data quality issues in the future.

The Item Data Quality Analyst (IDQA) will lead the Data Quality (DQ) strategy within the Enterprise Item Data Governance team. The IDQA will create and analyze DQ performance metrics and drive teams to take action on DQ priorities affecting the entire enterprise.

The IDQA is responsible for governance and prioritization of Data Quality and the Metadata Data Quality System, by maintaining a strong focus on both operational and guest facing data quality in order to improve the guest experience and drive enterprise excellence.

Additionally, the IDQA is responsible for providing leadership in special projects aimed at solving chronic item data quality problems by way of identifying roadblocks, system changes, process improvements, and best methods.

Principal Duties and Responsibilities

• Drive continues improvement for Data Quality Excellence of the Enterprise.
• Lead the creation and execution of the end to end data quality process.
• Create, Monitor and Analyze DQ Performance metrics.
• Measure Data completeness, accuracy, timeliness, and relevancy through-out the enterprise.
• Develop Enterprise DQ strategies by identifying the most impactful data quality areas to focus on, set prioritization within these areas, and partner with cross functional teams to understand…