Specialist, Data Analytics / Data Science

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 ability to work in matrixed organizations and influence without authority

Key Success Factors:

• Business-first mindset: Ability to identify where data solution and modeling can solve real business problems rather than pursuing technology for its own sake
• Solution pragmatism: Track record of choosing the right tool for the job and delivering working solutions within business constraints with speed to value mindset
• Impact orientation: Focus on measurable business outcomes rather than technical sophistication alone
• Act as a strategic decision partner proactively assess business requirements, proposing improved approaches, and recommending feasible data-driven solutions that deliver real measurable business value

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