Item Data Quality Analyst-2 Tower 02, Manyata Embassy Business Park India
4 weeks ago
If you are a stickler for accuracy and nothing gets you more zealous than data and insights, then this is the role for you As the Item Data Quality Analyst (IDQA), you will lead the Data Quality (DQ) strategy for the IDS teams within the Item COE. You’ll create and analyze DQ performance metrics and drive teams to take action on DQ priorities affecting the Enterprise. You will be 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.
If you are already excited about donning your data thinking hat and being the torchbearer for quality and accuracy at an Enterprise level, then read on
Key Responsibilities:
· Data quality excellence for Item CoE. Create, monitor and analyze DQ performance metrics by IDS and partner teams within their respective divisions. 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 business or guest impact. Lead the Data Quality weekly action meetings and provide guidance to the Target India IDA’s on priorities for the week.
· Metadata Rule Governance. Define, Create, and Maintain Data Quality rules to address the DQ business and guest facing needs within Data Quality System. Establish criteria for Global Data Quality System rules and enforce to ensure the rules are consistent and sustainable. Manage the Rule Governance process on behalf of the Item COE. Challenge partners when Rule Governance best methods are not being followed. Review existing Data Quality System rules and analyze data results to ensure that rules are still viable and pulling intended results.
· Partner with Minneapolis DQ Team. Represent TI Item CoE DQ and build strong partnership with Minneapolis DQ team. Understand priorities and represent TI issues to help set priorities within the DQ team.
· Partner with product teams. Develop, Document, and Maintain Data Governance and Data quality Best Methods within numerous applications such as Data Quality System, PIM, and Launchpad. Partner with Product teams on testing of new UI requirements and technology enhancements within Data Quality System. Identify opportunities with new requirements and strategize with product team on how to correct before implementation. Identify item issues preventing maintenance or desired guest facing experience and partner with Product teams to quickly correct issues that benefit the larger COE.
· DHR Data Quality Liaison – work with TI IDM’s and MPLS IDQA’s. Gather feedback, share updates and help identify potential areas of opportunity.
· Reporting - Work to standardize reporting methodology and definitions. Be an expert in DOMO and able to train and troubleshoot when needed. Direct contributor to monthly governance dashboard and recap email.
· Valor - Act as a POC to provide updates, engagement with the product team, working with MBS and sharing updates with the TI leaders and team.
**Job duties may change at any time as per business needs
MINIMUM REQUIREMENTS
Education Expectations: 3-year degree or equivalent
Job Related Experience: A minimum of 4 years’ experience
Specific Experience:
· Exposure to Data Quality methodologies
· Data analysis & reporting skills
· Demonstrated expertise in an area of Merchandise Planning/Operations, Buying, Digital Operations, Project Management & Content Management
· Ability to work with and coordinate cross-functional efforts
· Analytical and critical thinking skills
· Exceptional communication and organizational skills
· Ability to develop effective partnerships
· Demonstrated ability to work on multiple projects at the same time, simultaneously managing working team and partner relationships
· Champion One Team attitude
DESIRED REQUIREMENTS
· Experience using Valor
· Experience with Item attribution, Item tools & systems, master data
· Possesses operational and technical aptitude and ability to interface with technical teams
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