Technical Analyst - Data Engineer at JLL

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

15 May, 26

Salary

0.0

Posted On

14 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Analysis, SQL, Python, R, Power BI, Tableau, Data Visualization, BMS, Databricks, Azure, Process Improvement, Analytical Skills, Problem-Solving, Communication, Data Governance

Industry

Real Estate

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. Position Title: Technical Analyst (Data Engineer) Position Overview: 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. Location: On-site –Bengaluru, KA Scheduled Weekly Hours: 48 If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table! At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Activate your Personal Job Alerts now and receive opportunities as soon as they are advertised. If you're a current JLL employee, please apply using the Internal Career Site At JLL, we give you the opportunity, knowledge and tools to own your success, because we value what makes each of us unique. We help our people thrive, grow meaningful careers and find a place where they belong. Together, we strive to be exceptional and shape a better world. For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune 500® company with operations in over 80 countries around the world, our employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communities SEE A BRIGHTER WAYSM. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visit jll.com.

Responsibilities

The Technical Analyst (Data Engineer) is responsible for collecting, reviewing, and analyzing technical data from various building systems and operational sources to generate actionable insights. This role involves developing and maintaining dashboards using platforms like Power BI and Tableau to support data-driven decision-making across the portfolio.