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Capital Project Planning Analyst

Job in Columbia, Lexington County, South Carolina, 29228, USA
Listing for: JLL
Full Time position
Listed on 2026-03-14
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Columbia

What this job involves

As a Capital Planning Analyst at JLL, you will join our national Project and Development Services (PDS) Capital Planning platform where our PDS group delivers more than just a project by managing the design and construction of real estate projects from beginning to end, handling every detail on our clients' behalf to deliver the largest return on investment. This Business Analyst position is focused exclusively on the Capital Planning business and provides the opportunity to be involved at every stage including gathering client data requirements and collecting and collating identified data, supporting data management and accuracy as a Capital Planning project is developed, reviewing and analyzing client data for accuracy in support of client engagement goals, and developing and generating comprehensive reporting and analytics in support of client engagements as well as driving management intelligence.

What

your day-to-day will look like
  • Engage to understand client business requirements and data to advise users on the right analytics to communicate the intended message to the target audience
  • Responsible for a range of analyst activities from simple and efficient data entry, management, and analysis to complex financial modeling exercises in Excel and Smartsheet
  • Generate business intelligence reporting and analytics to support telling the story of the data
  • Manage the identification, prioritization, and remediation of data quality issues
  • Participate in the design and development of technical solutions to ensure that business requirements are satisfied
  • Participate in and lead weekly client meetings as assigned in support of the Capital Planning process
  • Create complex formulas and nested functions while developing dynamic dashboards and interactive reports using Pivot Tables and Pivot Charts
  • Design and maintain complex financial models and forecasts while working with large datasets and optimizing spreadsheet performance
Required Qualifications
  • Degree/diploma or relevant educational background in statistics/data analytics/computer science or general degree with data/analysis focus with 3 to 4 years of working experience in data and digital delivery-oriented roles
  • Demonstrated ability to create complex formulas and nested functions (e.g., INDEX/MATCH, VLOOKUP, SUMIFS)
  • Experience developing dynamic dashboards and interactive reports using Pivot Tables and Pivot Charts
  • Proven ability to design and maintain complex financial models and forecasts
  • Ability to work with large datasets and optimize spreadsheet performance
  • Excellence in relationship management with deep understanding of organizational structures including developing and maintaining strong, productive relationships with key stakeholders at all levels
  • Experience navigating complex corporate hierarchies and matrix structures effectively
  • Must be familiar with real estate department enterprise management business
  • Advanced use of Smartsheet
  • Understanding of data and systems engineering concepts to effectively integrate and analyze data to develop actionable business information deliverables
  • Able to think logically, organize workflows efficiently, and solve problems independently
  • Outstanding communication skills—oral and written
Preferred Qualifications
  • Specific real estate industry vertical experience or specialty
  • Experience in Tableau and Power BI
  • Experience with corporate real estate business and/or JLL PDS and construction project/program management
  • Understanding of Capital Planning processes and methodologies
  • Knowledge of real estate financial analysis and modeling
  • Experience with data quality management and remediation processes
  • Understanding of business intelligence reporting tools and analytics platforms
  • Experience leading client meetings and stakeholder presentations
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