Digital Deployment Engineer

About the role

As a Digital Deployment Engineer at JLL, you'll play a pivotal role in transforming complex data into meaningful business insights that drive strategic decisions for one of our Tier One clients. Working alongside a talented team of Business Intelligence professionals, you'll be accountable for defining and implementing data and analytics products that make a real difference.

Responsibilities

• Lead the design, development, and implementation of robust Data & BI products—including dashboards, reports, and analytical tools—that drive insight-driven decision-making across the organization
• Build, optimize, and support automated data pipelines and integration processes to ensure data is standardized, robust, and delivered efficiently to stakeholders
• Conduct exploratory data mining and deep-dive analysis on large, complex, and ambiguous datasets to uncover key trends and operational performance drivers
• Translate qualitative client feedback and complex quantitative results into structured, actionable business recommendations that resonate with diverse audiences
• Design and implement data quality, standardization, and data governance controls to maintain high-quality data products that meet enterprise standards
• Develop, document, and maintain best-practice standards, data dictionaries, and SOPs to successfully embed data products within the line of business
• Ensure all client-facing and internal dashboards, reporting templates, and data presentations strictly adhere to corporate brand standards, utilizing resources and assets sourced from the JLL Brand Portal
• Partner closely with business leaders, operations teams, and client representatives to conceptualize complex business challenges and translate them into well-structured analytics roadmaps
• Act as an effective communicator, successfully articulating technical concepts, data limitations, and architectural requirements to non-technical audiences

Requirements

• Experience: 5+ years of relevant work experience in Business Intelligence, Analytics, Data Advisory, or highly technical consulting roles
• Technical Stack: Advanced proficiency in SQL for querying and data preparation, paired with expert-level experience building production-grade dashboards in Tableau
• ETL & Data Warehousing: Hands-on experience working with modern cloud data platforms (e.g., Snowflake) and intermediate knowledge of code-free/low-code ETL technologies (e.g., Alteryx)
• Communication: Exceptional written and verbal communication skills, including a proven track record of synthesizing complex data into compelling business stories
• Education: Bachelor’s or Master’s degree in Business Intelligence, Data Science, Computer Science, Econometrics, Statistics, Information Management, or a related quantitative field

Preferred Qualifications

• Programming: Foundational knowledge of programming languages (R and/or Python) for data manipulation
• API Integration: Experience integrating data sources using APIs
• Industry Experience: Understanding of Commercial Real Estate operations or Facilities Management performance metrics