Data Analyst at JLL

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Integration, Data Transformation, Data Quality Monitoring, Python, ETL Processes, Debugging, Collaboration, Systems Thinking, Analytical Mindset, Attention to Detail, Adaptability, Version Control, Data Pipelines, Real Estate Data, Nested Data Formats

Industry

Real Estate

Description

JLL empowers you to shape a brighter way. Our people at JLL and JLL Technologies 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. Data Analyst - Maternity Cover (6-10 months) Team: Data Team Location: Hybrid Reports to: Data Team Manager About the Role We are seeking a detail-oriented Data Analyst to join our Data Team on a temporary basis to provide maternity cover. This is an excellent opportunity for a junior professional to gain hands-on experience working with complex real estate data pipelines in a dynamic Commercial Real Estate (CRE) environment, specifically on our Flowlogic system—a sophisticated data integration and transformation platform. Key Responsibilities Maintain and monitor existing data pipelines processing real estate data, including loans, property sales, acquisitions, and company hierarchies. Integrate data from multiple real estate data sources to create unified, comprehensive datasets, ensuring accuracy across interconnected systems. Execute complex data transformations using SQL within our proprietary Python-based framework for pipeline orchestration. Monitor data quality, implement validation checks, and debug discrepancies across the pipeline to ensure data integrity. Troubleshoot and resolve data processing issues, such as incorrect data mappings or validation failures, by analyzing data flows and transformation logic. Collaborate closely with Product Managers and system users to understand data requirements and adapt to evolving needs. Work with complex DAGs (Directed Acyclic Graphs) of data transformations, managing dependencies across hundreds of interconnected data tasks. Technical Requirements Essential: Strong SQL skills with the ability to write complex queries, including handling nested JSON structures and multi-layered joins. Experience with Google BigQuery or similar cloud data platforms for large-scale data processing. Basic Python knowledge (training on our proprietary Flowlogic framework for pipeline orchestration and dynamic SQL generation will be provided). Understanding of data pipeline concepts and ETL processes, with a focus on data integration and transformation. Experience with data quality monitoring, validation techniques, and debugging data discrepancies. Familiarity with version control systems like Git for collaborative code and query management. Key Qualities We're Looking For Systems Thinking: Ability to understand and navigate complex, interconnected data transformation workflows, tracing data from raw inputs to final outputs. Exceptional attention to detail and accuracy when handling intricate data mappings and validations. Strong analytical mindset with problem-solving capabilities to address data pipeline issues. Collaborative approach when working with cross-functional teams, including product and engineering staff. Adaptability and eagerness to learn new tools, processes, and domain-specific real estate data concepts. Preferred Qualifications 1-3 years of experience in data analysis or data engineering roles. Bachelor's degree in a quantitative field (Data Science, Computer Science, Mathematics, Statistics, or related). Previous exposure to real estate data, such as company hierarchies or property transactions (not required but advantageous). Experience with handling nested data formats (e.g., JSON) in SQL for data extraction and transformation. What We Offer Opportunity to work with cutting-edge real estate data technology within the Flowlogic platform. Flexible hybrid working arrangement to support work-life balance. Exposure to a comprehensive CRE data ecosystem, handling diverse datasets and transformation challenges. Mentorship and professional development opportunities to grow your skills in data analysis and pipeline engineering. Please note: This is a temporary position covering maternity leave with an expected duration of 6-10 months. Location: On-site –TEL AVIV, ISR 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! 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 Data Analyst will maintain and monitor existing data pipelines processing real estate data and integrate data from multiple sources to create comprehensive datasets. They will also execute complex data transformations and troubleshoot data processing issues.