Senior Analyst - Corrigo Service Team at JLL

Manila, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

31 Jul, 26

Salary

0.0

Posted On

02 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, MS Excel, Power BI, Statistical Analysis, Machine Learning, Data Visualization, Big Data Technologies, Cloud-based Analytics, Project Management, Data Governance, Data Pipelines, Strategic Advisory, Communication, Presentation Skills, Problem-solving, Data Literacy

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. Summary: We are seeking a highly skilled Senior Data Analyst to join our team. The ideal candidate will be responsible for extracting live data, collecting and gathering data as required by the business or account, and providing in-depth analysis. Beyond technical skills, this role requires the ability to present findings effectively and provide actionable recommendations to stakeholders. The Senior Data Analyst will serve as a trusted advisor, leveraging data-driven insights to guide strategic decision-making. Expanded Job Description: Project Management: Lead data-related projects from conception to completion Set project timelines, milestones, and deliverables Manage resources and budgets for data initiatives Coordinate with internal teams and external vendors as needed Presentation and Communication: Present findings and recommendations to both technical and non-technical audiences. This includes the account/regional directors, account champions, facility managers plus internal and other external stakeholders Create clear, concise, and visually appealing reports and dashboards Translate complex data concepts into easy-to-understand insights for stakeholders – internal and external stakeholders such as account directors, champions, facility managers and regional stakeholders Develop and deliver data literacy training to team members and clients Strategic Advisory: Act as a trusted advisor to business units and accounts Provide data-driven recommendations to inform strategic decision-making Collaborate with cross-functional teams to identify opportunities for data-driven improvements Stay current with industry trends and best practices in data analytics Data Collection and Management: Extracting, collecting, and gathering data from various sources, including live data streams Ensuring data quality, integrity, and consistency across all platforms Developing and maintaining data pipelines Implementing data governance practices and ensuring compliance with data protection regulations Identifying data-related issues and determining root causes Managing data access, including assigning passwords and maintaining database access Participating in data integration projects and initiatives Complying with and contributing to data standardization efforts Data Accuracy: Auditing database access and requests Continually reviewing processes for improvement Data Analysis and Interpretation: Conduct complex data analysis using advanced statistical methods Identify trends, patterns, and correlations within large datasets Develop predictive models and forecasts to support business objectives Perform ad-hoc analysis as requested by stakeholders Continuous Improvement: Identify and implement process improvements in data collection, analysis, and reporting Evaluate and recommend new technologies and methodologies to enhance data capabilities Mentor junior team members and contribute to the growth of the data analytics practice Qualifications 1+ year of experience in data analysis, with a proven track record of delivering actionable insights Medium to Expert-level proficiency in MS Excel, Power BI experience is good to have but not required Strong understanding of statistical analysis, machine learning, and data visualization techniques Experience with big data technologies and cloud-based analytics platforms Excellent communication and presentation skills, with the ability to convey complex information to diverse audiences Strong problem-solving skills and attention to detail Ability to work independently and collaboratively in a fast-paced environment This role requires a combination of technical expertise, business acumen, and interpersonal skills. The successful candidate will be able to bridge the gap between data and decision-making, providing valuable insights that drive business growth and innovation. Location: On-site –Taguig, Philippines Job Tags: JBS If 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! 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. 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 Senior Data Analyst will extract, collect, and analyze live data to provide actionable insights and strategic recommendations to stakeholders. They will also lead data-related projects, manage data quality, and develop reports and dashboards to support business objectives.