{"id":138262,"url":"https://alion.io/job/jones-lang-lasalle-manager-data-analytics-industrial","title":"Manager, Data Analytics- Industrial","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":588,"ghost_share":0.003,"stale_share":0.151,"repost_share":0.036,"time_to_fill_p50_days":7,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Chicago, United States","Charlotte, United States","Los Angeles, United States","Charleston, United States","Washington, United States","Austin, United States","Dallas, United States","Orlando, United States","Denver, United States","Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"PostGIS","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Agile","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-08-27T22:16:07Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-11-04T14:44:06Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":68},"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.\nWhat this job involves\nJLL is seeking a Manager, Data & Analytics for the National Leasing Advisory Industrial platform to own the datasets, dashboards, and AI-enabled workflows that platform leadership and producers rely on. This role sits at the intersection of Investor business development, Occupier business development, Research, Sales Enablement, and JLLT, and it converts a fragmented set of manual analytical tasks into a single, scalable analytics engine.\nYou will operate as both a builder and a partner. You will design and maintain the underlying data infrastructure, produce the dashboards and models that leadership and producers rely on, and identify where AI-enabled solutions can replace repetitive work.\nPrimary responsibilities\nAnalytical platform and data infrastructure\nOwn the data infrastructure and analytical output that power the National Industrial platform.\nDesign, build, and maintain the core datasets that support Investor business development, Occupier business development, and executive decision making.\nConduct the analysis and research required to inform build, buy, or change decisions on analytical tools and platforms.\nEvaluate new applications and emerging capabilities, define system requirements, and recommend enhancements to existing tools.\nEstablish and enforce data input protocols so that reporting, pipeline visibility, and deal tracking are accurate and consistent.\nDashboards and self-service reporting\nBuild self-service dashboards used across Agency IPS pursuits, Occupier business development strategy, and executive leadership decision making.\nCustomize dashboards on demand for individual pursuits, requests for proposal, and steering committee agendas.\nMaintain the benchmarking, mapping, and custom visualization capability that supports Industrial brokerage.\nTranslate analytical output into presentation-ready deliverables for internal and client-facing use.\nAI-enabled automation and scale\nIdentify repetitive analytical work and design AI-enabled solutions that improve efficiency and scalability.\nCoordinate AI-assisted research processes across sectors and verticals.\nDesign each workstream to run on AI-enabled pipelines, returning time to authorship and client-facing work.\nInvestor business development delivery\nDesign and maintain the MLA collection, coordinate broker responses nationally, execute follow-ups, and track market deals for IPS lead generation.\nMaintain the centralized SAT client plan tracker covering acquisitions, dispositions, data requests, events, and initiatives, and summarize earnings and market news.\nPrepare SAT client meetings by compiling revenue and performance data, synthesizing insights, tracking personnel and organizational changes, and documenting actions and ownership.\nDesign and run SAT broker surveys, including broker outreach, follow-up, response analysis, and packaging of findings into insight decks.\nDevelop presentation decks and Journey materials that translate strategy discussions into polished internal and external communications.\nSupport IPS pursuits and accounts by coordinating deliverables and calls with Research, business development leads, and IPS account managers, and by building the supporting dashboards and Excel models.\nOccupier business development delivery\nMap client supply chains, including hubs, nodes, and distribution centers, and produce industry-specific visualizations to support site selection.\nCoordinate industry calls across Retail, 3PL, CPG, Food and Beverage, and Advanced Manufacturing, owning agendas, notes, action items, and follow-ups.\nBuild target account lists by vertical, map coverage across IPS, EPS, and REMS, and identify cross-sell opportunities.\nPartner with Research on emerging market and economic trends, and translate those insights into pitch content.\nMaintain the intelligence repository and executive summaries that make sector knowledge accessible across the platform.\nCross-functional partnership\nServe as the connection point between the Industrial platform and Research, Sales Enablement, JLLT, and Operations.\nDirect support teams to optimize the tools, data sources, and reporting that serve the Industrial platform.\nBuild strong relationships with producers and leadership to develop a thorough understanding of business goals, processes, and challenges.\nPrepare communications and present to leadership on system enhancements, analytical priorities, and platform alternatives.\nPeople leadership\nPerform a broad range of assignments with limited supervision, using experience and judgment to analyze and resolve problems.\nInterested? An ideal candidate would need to have the following qualifications:\nRequired Technical skills\nFamiliarity with predictive modeling, geospatial analysis (PostGIS, ESRI), or econometric methods\nDemonstrated ability to translate quantitative work into narratives that non-technical senior leaders can act on.\nExperience and qualifications\nBachelor’s degree required in real estate, finance, business, data analytics, or a related field.\nSeven+ years of professional experience in data science, analytics engineering or applied analytics with increasing scope. Commercial real estate experience with exposure to the industrial sector preferred.\nAdvanced Excel skills including strong SQL and Python (or R). Fluency with modern data platforms (Snowflake, Databricks, or equivalent) and BI/visualization tools (Power BI, Tableau, or equivalent).\nWorking knowledge of information technology concepts, strategies, and methodologies, with the ability to partner effectively with technology teams.\nFamiliarity with finance and investment analysis principles as applied to commercial real estate.\nExcellent analytical and problem-solving skills, with strong attention to detail and data integrity.\nStrong relationship management, interpersonal, and written and verbal communication skills.\nSelf-motivated, with the ability to set and maintain priorities against multiple operational goals.\nExperience managing cross-functional initiatives and data platforms.\nDisciplined and flexible, able to work both independently and collaboratively.\nCommitment to superior client service and to continuous improvement of processes and procedures.\nPreferred qualifications\nDemonstrated experience applying AI-enabled tools to automate analytical or research workflows.\nExperience with supply chain analysis, network mapping, or industrial market analytics.\nExperience working in an Agile environment\nWhat you can expect from us\nWe’re an entrepreneurial, inclusive culture which upholds our core values to be direct, decisive, and humble. We believe the best inspire the best, so we invest in supporting each other, learning together, and celebrating our success. We succeed together. Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay. With us, you’ll develop your strengths and enjoy a career full of varied experiences. We can’t wait to see where your ambitions take you at JLL.\nAbout JLL\nWe’re JLL-a leading professional services and investment management firm specializing in real estate. We shape the future of real estate for a better world by using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities. As a Fortune 500 company, we help real estate owners, occupiers and investors achieve their business ambitions. We have operations in over 80 countries and a global workforce of over 92,000 individuals. We believe a diverse and inclusive culture is one where everyone succeeds. That’s why we’re committed to creating an environment where we all feel welcomed, valued, and empowered to achieve our full potential.\nThis position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.\nExpected compensation for this position:\n100,000.00 - 150,000.00 USD per year\nFinal compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.\nLocation:\nOn-site -Atlanta, GA, Austin, TX, Charleston, SC, Charlotte, NC, Chicago, IL, Dallas, TX, Denver, CO, Los Angeles, CA, Orlando, FL, Washington, DCIf this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table!\n Personalized benefits that support personal well-being and growth:\nJLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits include:\n401(k) plan with matching company contributions\nComprehensive Medical, Dental & Vision Care\nPaid parental leave at 100% of salary \nPaid Time Off and Company Holidays\nEarly access to earned wages through Daily Pay\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.\nFor candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.\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. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.\nPursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.\nPursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.\nPursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.\nCalifornia Residents only\nIf you are a California resident as defined in the California Consumer P...","description_format":"text","description_chars":12789,"description_truncated":true,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate Investment","Commercial Real Estate","Real Estate Brokerage","Facilities Management"],"lifecycle":[{"event":"open","at":"2026-08-27T22:16:07Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 45 · green card filings: 37","filings_12m":45,"filings_prev_12m":71,"green_card_filings_12m":37,"median_offered_wage_usd":127988,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":9}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.301,"p_room":0.28,"age_days":68,"expected_fill_days":7,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":{"stated_usd_annual":150000,"is_top_pay":true},"html_url":"https://alion.io/job/jones-lang-lasalle-manager-data-analytics-industrial","json_url":"https://alion.io/job/jones-lang-lasalle-manager-data-analytics-industrial.json","meta":{"generated_at":"2026-11-04T16:36:57Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25337,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":616},"rest":"https://alion.io/mcp/rest/get_company?id=616"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjones-lang-lasalle-manager-data-analytics-industrial"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fjones-lang-lasalle-manager-data-analytics-industrial"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fjones-lang-lasalle-manager-data-analytics-industrial"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/jones-lang-lasalle-manager-data-analytics-industrial\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjones-lang-lasalle-manager-data-analytics-industrial"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":138262}},{"tool":"search_jobs","arguments":{"company":"jll.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":138262},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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