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Data Quality Analyst

jll
NewPosted today

LOCATION

Bengaluru · Onsite

EXPERIENCE

Not specified

TYPE

FullTime

SKILLS REQUIRED

Data ValidationData ProfilingQuality assuranceAdvanced Excel SkillsData DeduplicationData Analysis

Job description

Overview

JLL is seeking a Data Quality Analyst to support analyst reporting, project management, data management, platform, compliance and reporting functions for a wide range of assets across JLL.

What you'll do

  • Check collected field asset photos for accuracy, completeness, and readable data plates.
  • Pull database exports and use formulas and filters in Excel to spot errors and validate data against client specs and project standards.
  • Decode equipment serial numbers through online resources to pull manufacturing dates and specs.
  • Compare client-provided data against collected assets to create linkages for system updates or migrations.
  • Monitor field teams live in the data collection app and give real-time feedback on submissions.
  • Review field photos and enter data plate information so field teams can move faster with photo-only collection.
  • Assess photo quality and coach field team members on lighting, angles, and focus.
  • Correct erroneous OCR entries and document shortfalls for process improvement.
  • Clean and structure datasets for client system integrations or platform transitions ahead of audit field visits.
  • Review and prep floor plans before field visits (similar to IAQ programs), and validate them after the visit.

What you'll need

  • Sharp attention to detail, comfortable digging into data rather than skimming it.
  • Strong Excel skills, formulas and filters at minimum.
  • Comfortable learning new platforms (Ninox, M2, Fulcrum) with guidance.
  • Strong written communication for async coordination across global teams.
  • Able to manage review queues across several projects without things slipping.
  • Available to work hours with meaningful PST overlap.

Details

  • Location: Bengaluru, KA.
  • Work mode: On-site.
  • Scheduled weekly hours: 40.
  • Meaningful PST overlap working hours.

Read the full description and apply on the company’s own careers page.

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Data Quality Analyst