Senior Data Analyst

JLL; Taguig; On-site; PHP 600,000 - 900,000; Full time

Job summary

JLL is seeking a data-focused professional in the Philippines to lead data-driven initiatives from concept to completion. The role involves managing timelines, resources, and stakeholder communications to deliver actionable insights and strategic value.

You will present findings to both technical and non-technical audiences, develop dashboards, and mentor team members in data literacy. The position requires strong analytical and communication skills in a fast-paced setting.

Qualifications

• 1+ year of experience in data analysis and delivering actionable insights.
• MS Excel proficiency and basic Power BI usage.
• Strong understanding of statistical analysis, data visualization, and reporting.
• Experience with big data technologies and cloud-based analytics is a plus.
• Excellent communication and presentation skills for diverse audiences.
• Ability to work independently and collaboratively in a fast-paced environment.

Responsibilities

• 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.
• Present findings and recommendations to technical and non-technical audiences.
• Create reports and dashboards, translating data concepts into insights.
• Develop data literacy training for team members and clients.

Skills

Data analysis

Excel

Power BI

Statistics

Machine learning

Data visualization

Big data

Cloud analytics

Communication

Problem-solving

Team collaboration

Tools

Power BI

MS Excel

SQL

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.