Technical Analyst - Data Engineer

Technical Analyst - Data Engineer at JLL

The Technical Analyst (Data Engineer) is responsible for collecting, reviewing, and analyzing technical data from various building systems and operational sources. This role collaborates closely with technical Subject Matter Experts (SMEs), the Building Management System (BMS) Lead, and other stakeholders to identify trends, generate actionable insights, and develop dashboards that support data-driven decision-making across the JLL portfolio. The role requires strong technical acumen, data engineering skills, and the ability to communicate complex findings to both technical and non-technical audiences.

Key Responsibilities

• Collect, validate, and analyze technical data from building systems, sensors, and operational reports, ensuring data integrity and accuracy.
• Collaborate with technical SMEs and BMS leads to understand system performance, identify anomalies, and develop data-driven solutions.
• Develop, maintain, and enhance dashboards and reporting tools to visualize key performance indicators (KPIs), trends, and operational metrics using platforms such as Power BI and Tableau.
• Identify and communicate actionable insights to improve system efficiency, reduce downtime, and support sustainability initiatives.
• Support predictive maintenance and operational excellence programs by analyzing historical and real-time data.
• Automate data collection and reporting processes, integrating data from multiple sources including Databricks, Azara, and other enterprise platforms.
• Ensure data security and compliance with JLL’s data governance standards.
• Stay updated on emerging data engineering tools, analytics platforms, and best practices relevant to building operations and facilities management.
• Work with cross-functional teams to support business intelligence initiatives and deliver high-quality analytical outputs.
• Present findings and recommendations to stakeholders at various levels, including technical teams and senior management.

Educational Qualifications

• Bachelor’s degree in engineering, information technology, computer science, or a related field is preferred.
• Formal education should provide a strong foundation in data and systems engineering concepts to effectively integrate and analyze data for actionable business information deliverables.

Experience and Skills

• Minimum 5-year past work experience as a project coordinator, BI, business, or data analyst.
• Experience with process improvement is preferred.
• Experience with infrastructure and large complex projects is strongly preferred.
• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
• Experience with dashboarding and data visualization platforms (e.g., Power BI, Tableau, Google Looker Studio).
• Intermediate to expert proficiency in Microsoft Office applications: Word, Excel, PowerPoint, and Outlook.
• Ability to analyze and communicate data to clients and teams.
• Strong analytical, problem-solving, and communication skills.
• Able to think logically, organize workflows efficiently, and solve problems independently.
• Experience working with BMS or other building automation systems is highly desirable.
• Ability to work collaboratively with technical and non-technical stakeholders.

Preferred Attributes

• Demonstrated ability to manipulate large amounts of data accurately using different spreadsheet formats.
• Proven ability to read, comprehend, and apply information from technical manuals and other reference materials.
• Ability to make informed recommendations in situations where data sets may be incomplete.
• Strong organizational skills and ability to multi-task.
• Self-motivated and able to work without direct supervision.

Key skills/competency

• Data Engineering
• Data Analysis
• SQL
• Python/R
• Power BI/Tableau
• BMS Systems
• Data Visualization
• Stakeholder Collaboration
• Predictive Maintenance
• Data Governance