{"id":2839805,"url":"https://alion.io/job/jones-lang-lasalle-senior-data-analyst-3","title":"Senior Data Analyst","company":{"id":616,"name":"Jones Lang LaSalle","domain":"jll.com","url":"https://alion.io/company/jones-lang-lasalle","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":594,"ghost_share":0.003,"stale_share":0.152,"repost_share":0.035,"time_to_fill_p50_days":7,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":102000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Google Sheets","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true}],"status":"live","first_seen_at":"2026-10-19T08:37:06Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-05T17:20:18Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"JLL empowers you to shape a brighter way.\nOur 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.\nJob Description\nAbout the role:\nWe are seeking a talented professional to join us as a Senior Data Analyst to develop and deliver data insights and solutions through your technical and business expertise. The successful candidate will join the Portfolio Insights team, responsible for managing and optimizing JLL Client’s strategic real estate plans.\nResponsibilities: \nDevelop and deliver actionable insights and recommendations with the appropriate analytics methodologies and techniques to help Client make informed portfolio decisions \nGenerate queries, dashboards, and reports using complex datasets from a wide range of sources \nCollaborate cross-functionally on advanced analytics projects (predictive / prescriptive) that solve various business problems at scale \nTake ownership of projects end-to-end, from initial requirements and data gathering to user testing and deployment \nImplement best practices for knowledge transfer and documentation to achieve internal consistency and long-term scalability \nCreate action plans to resolve data-related issues and drive quality improvement to our data ecosystem over time, including the data itself, the analytical data warehouse and the tools used to analyze and interpret results and trends \nMinimum Requirements: \nStrong analytical skills and an abundance of intellectual curiosity \nBachelor’s Degree in Math, Statistics, Economics, Computer Science, Engineering, or other quantitative field \n3+ years of experience in data analysis and data visualization \nExperience building and deploying ML models \nProficient in SQL (any dialect), R and Python \nExperience working with large codebases \nExpertise with spreadsheet-based tools like Google Sheets or Excel \nSolution-oriented mindset with the ability to thrive in a fast-paced environment and deliver under pressure \nStrong communication skills and can clearly communicate business concepts and data findings to all levels of the organization \nExcellent attention to detail, exhibiting the highest standards of professional integrity and work ethic \n\nPreferred Qualifications: \nCorporate Real Estate knowledge \nFamiliarity with Google Cloud Platform (e.g., BigQuery, Cloud Storage, App Engine) \nTrack record of making business impact by mining and extracting value from large and disconnected datasets \nLocation:\nOn-site -SingaporeIf 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!\nAt 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.\nJLL Privacy Notice\nJones 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.\nFor more information about how JLL processes your personal data, please view our Candidate Privacy Statement.\nFor additional details please see our career site pages for each country.\nJones 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 . This email is only to request an accommodation. 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