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Real Estate Data Analyst

Job in Wichita, Sedgwick County, Kansas, 67232, USA
Listing for: Koch
Full Time position
Listed on 2026-09-11
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Science Manager, Data Engineering
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

This role sets and drives LIFT’s data and AI strategy — turning fragmented real estate, HR, security/badge, occupancy, and financial data into trusted, decision-ready intelligence, and moving LIFT’s AI experimentation from ideas to measured value. It is the primary link between LIFT’s service-line leaders (demand) and our technical partners in Koch Technology and JLL Technology (supply).

Our Team

LIFT is Koch’s leveraged capability for corporate real estate, combining business knowledge, real estate expertise, data, and technology to create long-term value.

What You Will Do

  • Translate service-line needs into a prioritized data and AI roadmap grounded in economic thinking — value first, technology as the enabler, not the starting point
  • Partner with Transaction Management, Lease Administration, Occupancy Planning & Management, Facilities Management, Experience Services, Capital and Finance leaders to frame functional and high-level technical requirements and set realistic expectations
  • Serve as the business-side owner of prioritization across service-line demand and Koch Tech / JLL Tech capacity to sequence, negotiate, and make trade-offs explicit against a single, visible intake and backlog
  • Set the strategy and prioritization for LIFT’s Databricks data lake and analytics/BI direction, while platform build and administration transition to Koch Tech
  • Build on current experimentation and emerging points of view, separating useful AI opportunities from hype and moving the highest-value, feasible use cases into controlled pilots
  • Coordinate delivery through technical resources in Koch Tech and JLL Tech for high-impact pipelines and integrations
  • Leverage LIFT’s core data domains (property information, financials, occupancy/utilization, operations, and HR-adjacent data) as assets to grow and mature to match business demand
  • Define ownership, quality standards, source-of-truth decisions, and responsible AI controls
  • Effectively partner with stakeholders to close material gaps in domains LIFT depends on but does not fully own.

Who You Are (Basic Qualifications)

  • Experience leading data/analytics strategy and turning business problems into prioritized, value-based roadmaps
  • Experience working in a modern data platform (Databricks or equivalent)
  • Experience leveraging Power BI, Tableau, or similar business intelligence tools
  • Experience with data architecture concepts including data lakes, data warehouses, ETL/ELT, APIs, and modern data integration patterns.
  • Experience translating between business leaders and technical teams across organizational boundaries, without formal authority

What Will Put You Ahead

  • Experience with AI/GenAI experimentation and use-case prioritization (e.g., conversational analytics, document/lease intelligence)

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location.

If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Hiring Philosophy

All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .

Who We Are

Koch creates and innovates a wide spectrum of products and services that make life better. Our work spans a vast number of industries across the world including engineered technology, refining, chemicals and polymers, pulp and paper, glass,…

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