Specialist Analytics Developer

Job description

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.    The Position    The Specialist Analytics Developer is an experienced delivery role within the Analytics Centre of Excellence (CoE), responsible for building and owning complex analytics solutions that deploy real estate insights into the business and our clients. The Specialist Analytics Developer contributes across the full analytics lifecycle — from wireframe and solution design through to build, QA, publishing and documentation — using Tableau, Power BI, Databricks, Python and SQL.    At this level, the Specialist Analytics Developer demonstrates greater autonomy in translating complex requirements into practical analytics solutions, and is expected to act as a technical reference point for Analytics Developers within the team, supporting their development through knowledge sharing and hands-on guidance.    Role and Responsibilities    Working within the Analytics Lifecycle, the Specialist Analytics Developer holds responsibility across the Define, Develop and Deliver phases, with an increasing role in quality assurance and technical leadership within the sub-team.    This will include;    • Embracing core CoE values of:  • Customer Focus  • Collaboration  • Integrity  • Courage    • Ensuring all work demonstrates JLL's core behaviours of:  • Inspire  • Win together  • Simplify  • Be intentional  • Be future ready    • Develop wireframes for proposed analytics solutions, translating complex requirements into clear visual designs, and contributing to solution design by advising on technical feasibility, data availability and best-practice design patterns.    • Build complex analytics solutions iteratively within agile sprints using Tableau, Power BI, Databricks, Python and SQL.    • Conduct thorough code reviews and data validation as part of the QA process, ensuring solutions meet CoE quality standards.    • Lead visualisation review and data validation to confirm outputs are accurate, consistent and aligned to requirements.    • Participate in and support User Acceptance Testing (UAT), ensuring client feedback is incorporated effectively.    • Publish completed analytics solutions to the Azara production environment, producing comprehensive documentation covering architecture, data sources, maintenance guidance and user instructions.    • Consult on and contribute to usage and RoI tracking for delivered solutions, supporting Azara AI self-service