Professional Business Analytic positions focus on delivering results in their domain. This page aggregates open Professional Business Analytic roles and what employers typically expect.
**JLL empowers you to shape a brighter way**. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. # **DATA QUALITY ASSURANCE SPECIALIST** Performs quality assurance and control of asset data collected across facility and building systems programs, including data accuracy, image compliance, asset classification, and database upload integrity. ## **ESSENTIAL DUTIES AND RESPONSIBILITIES** - Reviews incoming asset data submissions for completeness, accuracy, and conformance to client field requirements and program scope. - Validates field-submitted photographs for compliance with client image protocols including required angles, data plate legibility, and resolution standards. - Verifies asset classifications against program tagging schemas; maintains a log of scope exceptions and classification edge cases for consistent downstream handling. - Performs pre-upload QA checks on structured data exports to ensure proper formatting and compliance with client database field mappings prior to submission. - Supports development and maintenance of QA/QC standard operating procedures and checklists; works alongside field collectors and program teams to communicate findings and drive continuous improvement. - Performs other duties as assigned. ## **SUPERVISORY RESPONSIBILITIES** - No direct supervisory responsibilities. Works collaboratively with field collection teams and program managers to uphold data quality standards and support team performance across active programs. ## **QUALIFICATIONS, EDUCATION AND EXPERIENCE** - High school diploma required. - Bachelor's degree (BA/BS) in engineering, construction management, information systems, or a related field preferred. - 2+ years of experience in data quality, asset management, facilities data collection, or related program operations. - Familiarity with commercial building systems (HVAC, refrigeration, electrical, plumbing, point-of-sale) preferred. - Prior experience with CMMS platforms and structured data validation workflows a plus. ## **CERTIFICATES AND/OR LICENSES** - No required certifications. ## **COMMUNICATION SKILLS** - Ability to clearly document QA findings, rejection rationale, and corrective action requirements in written form. - Strong interpersonal skills; able to deliver performance feedback to field personnel constructively and professionally. - Ability to maintain confidentiality while managing data across multiple concurrent client programs. ## **REASONING ABILITY** - Strong analytical judgment with the ability to make defensible accept/reject decisions and identify root causes of systemic data quality issues. - Ability to manage scope ambiguity, distinguish classification edge cases from clear errors, and escalate appropriately. ## **OTHER SKILLS AND ABILITIES** - Proficiency with Microsoft Excel for data validation, deduplication, and QA tracking. - Experience with SharePoint or equivalent cloud platforms for document management and structured file review. - Ability to manage parallel review queues across multiple active programs simultaneously. - Self-directed and detail-oriented; comfortable working in a remote, high-volume data environment. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. **Estimated compensation for this position:** 88,000.00 – 95,000.00 USD per year *This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to…