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Lead Portfolio Insights AnalyticsJones Lang LaSalle Incorporated • London, England, United Kingdom
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Lead Portfolio Insights Analytics

Jones Lang LaSalle Incorporated
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom
Apply Now

About

Lead Portfolio Insights Analytics page is loaded## Lead Portfolio Insights Analyticsremote type:
On-sitelocations:
London, GBRtime type:
Full timeposted on:
Vandaag geplaatstjob requisition id:
REQ493499**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.**Role overview:**The Lead Insights Analyst oversees a global team of data insights analysts to drive data-driven strategy for a key client's real estate portfolio, serving as the central subject matter expert in advanced analytics and machine learning.This role combines strategic leadership with deep data analytics techniques to deliver comprehensive portfolio insights that inform critical business decisions. The position requires strong analytical competencies to mentor team members, establish data analysis standards and best practices, and translate complex business requirements into effective data strategies and analytical solutions. A background in data engineering is highly valuable to help design proper data architecture for complex analytical solutions and guide the development of internal analytics infrastructure that enhances future analysis capabilities and data governance.**Responsibilities:*** Lead Global Data Analytics Team - Lead global, multi-time-zone team of data analysts, establishing analytical standards and best practices (including data architecture guidance for scalable solutions) while providing continuous guidance and capability building for advanced analytics delivery. Ensuring the team has the right tools / data flows / setup to deliver at scale* Real Estate Portfolio Knowledge- Serve as SME for Real Estate Portfolio strategy, directly inform strategy development and business decisions, leveraging best practice from across the business* Stakeholder Engagement - Effectively engage and support both technical and non-technical stakeholders across diverse cultures to drive analytics adoption and strategic alignment. Working with the client on idea generation and solutioning to become a true strategic parter. Transform analytical outputs and data insights into clear, actionable Go/No-Go recommendations.* Technical Requirements Translation - Translate business requirements into technical specifications and produce high-impact visualizations and reporting at scale for stakeholder engagement* Advanced Analytics & Data Science - Identify data opportunities for new strategies leveraging advanced modelling and data optimization methods providing proactive leading insights for the client.* Internal Analytics Infrastructure - Responsible for designing and building internal data analytics infrastructure optimised to support the team's data needs and rapid insight generation.* Quality Assurance and data integrity – Maintain high data quality standards and integrity processes. Ensure internal processes are current and followed through regular quality checks and review procedures**Technical / Soft Skills:*** Global Team Leadership - Effectively lead global, multi-time-zone teams delivering analytics solutions that consistently exceed client expectations. Ensuring the team has the right tools and processes to deliver at scale* Management & Problem-Solving – Formulate targeted analytical strategies by defining key metrics and clearly articulating their strategic value to client objectives. Navigate uncertainty while juggling multiple priorities with strong end-to-end problem-solving.* Advanced Programming & Data Science - Proficient in SQL, and Python or R with machine learning principles, model development, and validation capabilities* Advanced Analytics & Data Science - Proficiency in data analytics techniques, statistical analysis, data science methods including machine learning, and optimization approaches for portfolio strategy development and business decision support* Business Decision Intelligence - Transform analytical outputs and data insights into clear, actionable Go/No-Go recommendations by evaluating findings against practical business constraints and real-world implementation considerations.**Experience:*** Advanced Degree & Analytics Foundation - Bachelor's/Master's in Computer Science, IT, Mathematics, Statistics, Data Science, or related quantitative discipline* 7+ Years Business & Data Analysis - Minimum 7 years professional experience in business and data analysis with focus on advanced analytics and modelling* 3+ Years People Management - Proven experience managing teams, particularly in global, multi-time-zone environments delivering analytics solutions* Real Estate/Consulting Background - Experience in Real Estate and/or Management Consulting is significant advantage for portfolio planning context* Complex Analytics Project Delivery - Proven track record delivering complex data science and analytics projects on time, within budget and scope**Location:**On-site –London, GBRIf 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 .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 .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
page > I want to work for JLL.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(R)
company with operations in over 80 countries around #J-18808-Ljbffr
  • London, England, United Kingdom

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