Digital Deployment Engineer

JLL•Hillsboro, OR

9d•Onsite

About The Position

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. 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. We embrace more innovative ways of working and prioritize opportunities to strengthen and advance your career—this position offers the perfect opportunity for a senior analyst ready to evolve their business domain expertise alongside deep technical and analytical development. You'll demonstrate strong technical skills while converting raw data into compelling analysis through data wrangling, visualization, and modeling techniques, all underpinned by robust data governance processes. At JLL, we are collectively shaping a brighter way for our clients, ourselves, and our fellow employees, and this role sits at the heart of that mission.

Requirements

5+ years of relevant work experience in Business Intelligence, Analytics, Data Advisory, or highly technical consulting roles.
Advanced proficiency in SQL for querying and data preparation, paired with expert-level experience building production-grade dashboards in Tableau.
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).
Exceptional written and verbal communication skills, including a proven track record of synthesizing complex data into compelling business stories. Fluent English is critical to this role's success.
Bachelor’s or Master’s degree in Business Intelligence, Data Science, Computer Science, Econometrics, Statistics, Information Management, or a related quantitative field.
Candidates must be authorized to work in the United States without sponsorship.

Nice To Haves

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

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