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Specialist, Data Analytics​/Data Science

Job in Atlanta, Fulton County, Georgia, 30302, USA
Listing for: JLL
Full Time position
Listed on 2026-03-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 95000 - 105000 USD Yearly USD 95000.00 105000.00 YEAR
Job Description & How to Apply Below
Position: Specialist, Data Analytics / Data Science
This job is with JLL, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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.
Specialist, Data Analytics

About the Role:

We are seeking a Specialist to identify and/or execute high-value business opportunities, select appropriate analytics/modeling approaches, and execute end-to-end solutions for a financial service client account within JLL's evolving data ecosystem. This role focuses on transforming business challenges into actionable data solutions that deliver measurable impact across our real estate portfolio.
What your day-to-day will look like:
Proactively identify, evaluate and share business use cases  where advanced analytics, automation, machine learning, or AI can drive significant efficiency and value for JLL and our clients

Manage data projects and pipeline  based on business requirement, account impact, data availability, technical feasibility, and resource requirements

Develop proof-of-concept solutions  that demonstrate tangible business impact, with a track record of taking experimental approach to production

Execute complete solution delivery  from business case development through mockup and impact measurement, prioritizing speed-to-value through agile development and phased implementation approaches

Provide regular updates to management  on project progress, pipeline of opportunities, and technical challenges to ensure alignment and support for data science initiatives

Collaborate with business stakeholders  to understand problems, define success metrics, and validate solution effectiveness

Navigate JLL's Azure and Databricks environment and technology landscape  to identify the most effective tools and approaches for each business challenge, and maintain clear playbook, documentation and cross train for knowledge continuity

Work with IT and platform teams  to secure necessary permissions and troubleshoot technical barriers to implementation

Maintain and enhance existing BI infrastructure  while building advanced analytical capabilities that address real business needs

Required

Skills and Experience:

Bachelor's or master's degree in data science, Computer Science, Statistics, Mathematics, or related quantitative field

4+ years of experience in data analysis, with at least 2+ years specifically in advanced analytics, data science, or machine learning

Experience with analytics and modeling approaches (regression, classification, clustering, time series, LLM, prompt engineering, etc.). Proficiency in Databricks SQL, R and/or Python for statistical modeling and machine learning.

Demonstrated track record of identifying a business opportunity, designing an appropriate solution, and implementing it successfully -  be prepared to discuss several specific examples of your end-to-end data project delivery

Strong business acumen with ability to translate abstract business challenges into technical requirements and communicate technical results through clear visualizations and business-friendly presentations

Proven ability to work with cloud-based data platforms and adapt quickly to new technological environments

Capable of independently researching, evaluating, and implementing the right tools for each business case

Proper risk and documentation mindset to maintain clear process mapping documentation, playbook and standards, and auditable results for validation

Preferred Qualifications:

Familiarity with Tableau, Alteryx, SSRS and traditional BI tools

Understanding of real estate, corporate services, or property management business models

Demonstrated…
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