Lead Analyst - Enterprise Data Quality

Company: Ulta Beauty
Location: Bolingbrook
Posted on: January 4, 2022

Job Description:

OVERVIEW

Live the experience . From professional empowerment to continual learning opportunities. From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta Beauty, our tech team is critical to our scalability-and is recognized that way. We've been defined as a "mature start-up." A place where interdepartmental exposure, open doors, and genuine collaboration is ubiquitous. Where challenges come fast and furious, requiring agility, mental dexterity, and creativity. Where our passion for better solutions drives us and is core to who we are.

We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by continual change and ambiguity, by superior leadership, by whip smart colleagues who will press you daily for your very best, you'll find that virtually nothing's impossible at Ulta Beauty.
THE IMPACT YOU CAN HAVE:
Ulta has embarked on an ambitious plan to modernize its data and analytics capabilities and embed a data driven culture throughout the organization. The Data Quality Lead will establish and mature data governance practices such as data cataloging, data lineage, master data management, data quality rules, and profiling, while also possessing domain knowledge in areas such as Master Data Management, Transactional data, CRM & Data Analytics, etc. This person will work with internal stakeholders from various application IT, business, and data governance teams to develop necessary rules, metrics, controls, policies, and procedures as well as automate those wherever applicable, to create a next generation data operations environment, with an end goal of creating high quality data across the organization.

YOU'LL ACCOMPLISH ALL THIS BY:
Lead data quality team focused on delivering high quality data across the enterprise.
Develop Data Quality framework & strategy for the enterprise
Identify data quality rules across new initiatives as well as existing applications and datasets
Participates in projects, being the data quality expert, to help identify the requirements around data quality and work with project level data quality resources to implement those
Works with business owners to define and establish definitions and strategies around data quality consistent with operational goals
Collaborate with enterprise data governance teams, technical data leads, data analysts and IT areas to ensure data quality and availability, and to explain the essence and importance of it.
Act as the spokesperson for the importance of data quality and its application to successful business strategies
Oversee the resolution of data quality issues across the enterprise and ensure it is addressed the right way.
Produces data quality metrics and KPIs across various data domains and data assets and measures progress around data quality.
Identify automation opportunities in operational processes around data quality and works with IT and other teams to incorporate those.
Manage and lead small team of Data quality resources
Ensures adherence to data quality standards and best practices, and reviews DQM deliverables
ESSENTIALS FOR SUCCESS:
A bachelor's degree in computer science or a related discipline, or equivalent relevant work experience
5+ years Data Quality Management; minimum 2 years as a Data Quality lead in Retail Industry developing and implementing data quality management principles around master data as well as transactional and 3rd party data, especially in Retail industry.
Strongly familiar with key data concepts such as Data Quality Management, Data Profiling, Data Aggregation, Metadata Management, Data Standards, Data Dictionary, and Data Domains
Work with technical and operational subject matter experts to understand and collect metadata about systems, processes, reports, controls, data movement, and business terminology.
Document inventory of current state data quality controls at enterprise level. Review of DQ progress, set new policies/efforts, review system & process changes
Work across development and business teams to understand and aid in data management and governance requirements.
Perform root cause analysis on data issues and recommend data quality controls to resolve gaps/issues
Measure and monitor - Baseline assessment of DQ, automate tracking and publish regular status (scorecard) updates on data quality progress to IT and business stake holders
Ensure measurable improvement of Data quality by identifying, developing, and implementing innovative DQ capabilities, strategies, approaches, and services.
Knowledge of requirements gathering, design methodology and building DQ test plans and test cases.
Work with appropriate team members to ensure data deliverables are complete and the design supports the strategic data vision
Assess emerging DQ technologies, and make appropriate recommendations based on IT & business needs
Hands-on experience in using Test Management / Defect Management tools like JIRA, Zephyr, Confluence, etc.
Facilitate and document the agreements on appropriate data and its usage.
Ensure all data components are properly integrated and implemented
Educate end users on the value of data and its associated attributes
Provide support and verify data quality through all stages of implementation
Excellent analytical, interpersonal, and communication skills (Verbal and written) to effectively communicate information to customers and to all levels within the organization
Handle multiple projects and assignments concurrently while maintaining high level of quality and effectiveness
Experience with applications and/or infrastructure technologies commonly leveraged to support large scale, multi-platform enterprise environments and distributed systems across diverse geographies
Ability to work independently on initiatives with little oversight.
Must have strong leadership skills and qualities which enable to work with peers and various levels of management.
SPECIAL POSITION REQUIREMENTS
Technology & Tools -
Could Technologies - GCP, Big query, Collibra.
ETL Tools - Informatica, etc.
Reporting tools - Business Objects, Google Data Studio, etc.
Database - SQL server, Oracle, etc.
Test automation Knowledge - Selenium with Java, Web services, etc.
Web technologies - HTML, XML, ASP, JAVA, script, VB script, etc.
WORKING CONDITIONS
Must be able and willing to work off hours and weekends as necessary to meet project deadlines

ABOUT

At - Ulta Beauty -(NASDAQ: ULTA), - the possibilities are beautiful . Ulta Beauty is the largest North American beauty retailer and the premier beauty destination for cosmetics, fragrance, skin care products, hair care products and salon services. We bring possibilities to life through the power of beauty each and every day in our stores and online with more than 25,000 products from approximately 500 well-established and emerging beauty brands across all categories and price points, including Ulta Beauty's own private label. Ulta Beauty also offers a full-service salon in every store featuring-hair, skin, brow, and make-up services.

We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

Keywords: Ulta Beauty, Bolingbrook , Lead Analyst - Enterprise Data Quality, Professions , Bolingbrook, Illinois