Lead Analyst - Enterprise Data Quality- Ulta Beauty
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 enterpriseIdentify data
quality rules across new initiatives as well as existing
applications and datasetsParticipates 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 thoseWorks with business owners to define and establish
definitions and strategies around data quality consistent with
operational goalsCollaborate 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 strategiesOversee 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
experience5+ 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 DomainsWork
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
changesWork 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/issuesMeasure and monitor Baseline assessment of
DQ, automate tracking and publish regular status (scorecard)
updates on data quality progress to IT and business stake
holdersEnsure 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 visionAssess emerging DQ technologies, and make
appropriate recommendations based on IT & business needsHands-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 implementedEducate end users
on the value of data and its associated attributesProvide support
and verify data quality through all stages of
implementationExcellent analytical, interpersonal, and
communication skills (Verbal and written) to effectively
communicate information to customers and to all levels within the
organizationHandle multiple projects and assignments concurrently
while maintaining high level of quality and effectivenessExperience
with applications and/or infrastructure technologies commonly
leveraged to support large scale, multi-platform enterprise
environments and distributed systems across diverse
geographiesAbility 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 REQUIREMENTSTechnology & 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- Ulta Beauty, Professions , Bolingbrook, Illinois
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