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Target Sr Item Data Quality Analyst in Bangalore, India

About us:

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.

Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win

As a Sr. Item Data Quality Analyst , you will be responsible for designing, implementing, and maintaining processes and systems that ensure the accuracy, completeness, uniqueness, timeliness, and validity. This will include collaborating with cross-functional teams, developing consistent item data quality measures, and implementing automated solutions to continuously monitor and improve item data quality across the enterprise. As a Sr. Item Data Quality Analyst, you will take the lead as you:

  • Utilize advanced data analysis techniques, data profiling, and data quality tools to identify complex patterns, trends, and anomalies in item data.

  • Drive the development and implementation of predictive analytics and measures for proactive data quality management.

  • Collaborate and collaborate with data product and Data Sciences teams to integrate data quality processes, measures, rules, and workflows into both existing and new solutions.

  • Design, develop, and implement the framework needed to streamline, automate, and continuously improve item data quality.

  • Lead root cause analysis efforts to identify underlying item data quality issues.

  • Implement solutions focused on identifying and resolving complex item data quality issues.

  • Leverage technical proficiency with database systems and SQL for querying, analyzing, and manipulating data needed to understand item data quality issues/opportunities.

  • Work closely with Sr. Item Data Stewards and Item Data Analysts to understand item data quality requirements and prioritize accordingly.

  • Support Item Center of Excellence data quality needs and priorities to ensure continuous improvement across the enterprise and to deliver a positive guest experience.

  • Develop solutions to evaluate and govern overall item data quality standards to meet business needs across the Enterprise.

Minimum Requirements:

  • Bachelor’s degree or equivalent educational qualification

  • Minimum 5 years of working experience in Ecommerce, Catalogue Management preferably in Data Quality

  • Extensive analytical aptitude with experience measuring and tracking key metrics

  • Passion for root-cause problem solving and an ability to overcome obstacles

  • Strong verbal and written communication skills

  • Strong organizational and prioritization skills with the ability to manage multiple projects concurrently in a fast-paced environment.

  • Hands on experience with analytics tools: Python, R, Domo and/or equivalent technologies

  • Strong strategic and analytical skills; can easily translate data from an array of sources into insights and recommendations

  • Understanding of data governance principles and industry best practices

  • Strong verbal and written communication skills

  • Motivated by collaboration and cross-functional work

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