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Business Data Consultant

JLL
United States, Illinois, Chicago
200 East Randolph Street (Show on map)
Oct 02, 2024
Job Description
JLL supports the Whole You, personally and professionally.
Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you've got deep experience in commercial real estate, skilled trades, and technology, or you're looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.

What this job involves:
This position will be responsible for performing analysis on JLL's Capital Markets data landscape from generation to consumption, understand the business processes that generate data, identify and communicate data quality and security issues and measures to the DG team/business stakeholders. This is a business and data analyst role that requires the ability to quickly understand and explore various data models, evaluate, and document business processes, and communicate findings and recommendations with leadership. This role will also be responsible for providing detailed analysis and recommendations for data governance program enhancements to JLLT teams that support the business communities. This position will report to the Senior Manager, Data Governance and Quality of the Enterprise Data Governance organization in JLLT.

What your day-to-day will look like:
Interface with data owners, data governance experts, and SME's to document the current scope of activities, desired future state, and help develop the strategic roadmap to achieve those ambitions.Guide the data ownership teams to establish data governance for each service line.
Review existing data quality rules, profile the data, analyze current data quality results, and compare business requirements to identify gaps and enhancement opportunities.
Review existing data standards at various levels of the organization. Assist in classifying these standards, defining, and recording relevant attributes, and documenting the data standards landscape.
Partner with Capital Markets liaison in the kickoff and management of various data ownership governing bodies.
Develop business requirements documents for business needs and proposed enhancements to Data Governance components.
Drive awareness and adoption of a data sharing culture.
Partner with Enterprise Data Governance peers to provide training and education documents relating to data quality, data standards, and data stewardship.
Responsible for documentation of business process and standard operating procedures for data life-cycle governance and stewardship activities.

Required Skills and Experience:
Bachelor's degree or equivalent years of experience and 2 - 3 years of professional business experience with a track record of accomplishments in data related fields, such as Enterprise Data Governance, Business Intelligence, Data Quality, or Data Management.
Understanding of Commercial Real Estate and Capital Markets industry (e.g., the business).
Demonstrating knowledge of data governance principles and industry best practices. Understanding of core concepts involved in data (data quality, usage) and ability to understand how these concepts impact our business.
Working collaboratively in a dynamic, ambiguous environment with multiple competing priorities which requires self-motivation, discipline, organization, and attention to detail.
Strong project management and coordination skills with proven ability to meet deadlines, prioritize assignments and manage multiple projects.
Experience in dealing with internal and external customers, service providers and vendors. Must be able to manage competing priorities. Needs to be resilient; resolving conflicts quickly to achieve desired business results.
Experience with SQL is preferred, but not required.
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