Data Analyst 2

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.   

Data Analyst 2

Enterprise Analytics

What This Job Involves

JLL Technologies Enterprise Analytics is an internal consulting team that provides data-driven expertise to various business lines and support functions. As an analyst in the Enterprise Analytics Team, you will architect scalable data solutions and deliver actionable insights in an AI-augmented environment. You will design semantic data layers, build analytical infrastructure, and leverage AI tools to accelerate delivery while ensuring accuracy, governance, and performance at scale. You will collaborate closely with various stakeholders, including senior business analysts, data engineers, data scientists, and business leaders, to understand their requirements and deliver valuable analytical solutions.

Responsibilities

• Design and maintain semantic data layers with rich metadata, business-friendly definitions, and clear documentation to enable both traditional BI and conversational data access
• Build production-grade data pipelines, transformations, and analytical datasets optimized for diverse query patterns and AI-driven interactions to enable insights
• Develop interactive dashboards, reports, and data visualizations that monitor KPIs and communicate insights effectively to business stakeholders
• Leverage AI tools (Claude, Cursor, Copilot) to accelerate development while critically validating outputs for correctness, performance, and alignment with business logic
• Implement data quality frameworks and validation logic to ensure reliability across analytical products and conversational data interfaces
• Architect data models balancing normalization principles with query performance requirements across cloud data platforms
• Manage project deliverables, proactively communicate roadblocks, and develop creative solutions to advance initiatives
• Document methodologies, processes, and best practices to enable knowledge sharing across the team

Sounds Like You? To Apply You Need:

Qualifications

• Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, Data Science, Finance, or other quantitative fields
• 3-5 years of experience as a Data Analyst in corporate, consulting, or tech environments
• Advanced SQL proficiency including query optimization, execution plan analysis, and performance tuning across large datasets
• Strong Python skills for data manipulation and analysis (pandas, numpy)
• 3+ years of hands-on experience with cloud-based data platforms (Azure, AWS, or GCP)
• Experience with modern BI tools: Tableau or Power BI for visualization and reporting
• Solid understanding of data modeling, dimensional modeling, and modern database design
• Proficiency in statistical analysis, hypothesis testing, and experimental design
• Strong problem-solving skills with an analytical and structured thinking approach
• Excellent verbal and written communication skills, with demonstrated ability to translate complex data insights for non-technical stakeholders
• Strong attention to detail with the ability to work both independently and collaboratively in a fast-paced environment
• Adaptability and eagerness to learn new technologies and methodologies

Preferred Qualifications

• Experience working with AI-assisted development tools (Claude, Cursor, GitHub Copilot) in analytical workflows
• Understanding of data governance principles including access controls, row-level security, and metadata management
• Familiarity with API design patterns and integration architectures
• Experience with data cataloging, semantic layers, or conversational data interfaces
• Knowledge of ETL/ELT orchestration tools and data pipeline patterns

What We Can Do For You:

You’ll join an entrepreneurial, inclusive culture. One where we succeed together – across the desk and around the globe. Where like-minded people work naturally together to achieve great things.

Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay.

Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sights and imagine where JLL can take you...

Apply today!

Location:

On-site –Bengaluru, KA

Scheduled Weekly Hours:

40

If 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.

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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.