Analytics Project Lead, Financial Services
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Job Description
Analytics Project Lead at JLL delivering high-impact data, analytics, and AI-driven solutions for financial services. Collaborating with stakeholders and leading technical development on innovative projects.
Responsibilities:
- Partner with account teams and business stakeholders to understand workflows, pain points, and strategic objectives across financial services and real estate domains.
- Identify opportunities to improve or disrupt business processes using data, automation, analytics, and AI-driven solutions.
- Translate business problems into well-defined solution concepts, including functional scope, technical approach, and expected value.
- Design and build end-to-end solutions, spanning data ingestion, modeling, APIs, analytics tooling, automation, and AI-enabled capabilities.
- Rapidly prototype solutions to validate concepts, gather feedback, and demonstrate value before scaling.
- Develop web-based analytics tools (web apps) and workflows, enabling insight and action rather than static reporting.
- Leverage AI-assisted development tools (e.g., Cursor, Claude) to accelerate solution design, prototyping, and delivery.
- Lead solution demos, walkthroughs, and data storytelling sessions for internal and external audiences, tailoring messaging to technical and non-technical stakeholders.
- Curate and maintain a pipeline of solution ideas and opportunities, helping prioritize work for the broader FS Elevate analytics team.
- Collaborate with data engineers, architects, product managers, and developers to transition solutions from prototype to scalable delivery.
- Provide technical leadership and guidance during build phases, ensuring solutions are practical, extensible, and aligned with platform standards.
Requirements:
- 7+ years of experience across solution architecture, analytics engineering, data engineering, or full-stack platform development roles.
- Proven experience working directly with business stakeholders or client accounts to define problems and shape technical solutions.
- Strong ability to analyze business processes and identify opportunities for improvement through technology, automation, and AI.
- Hands-on experience designing and building end-to-end solutions using cloud-based data platforms such as Databricks and/or Microsoft Fabric.
- Advanced proficiency in SQL and Python, with practical experience using P‑Spark and modern ETL/ELT frameworks.
- Experience building analytics tools and data-driven applications that integrate APIs with web-based front ends (e.g., React).
- Proficiency with AI-assisted development tools (e.g., Claude Code, Cursor) and modern IDEs, applied to solution design, code generation, and implementation.
- Strong communication and data storytelling skills, including the ability to demo solutions and clearly articulate value to diverse audiences.
- Experience collaborating within shared services or platform teams while supporting multiple client accounts or business lines.
- Domain experience in financial services, real estate, or operational performance analytics.
Benefits:
- 401(k) plan with matching company contributions
- Comprehensive Medical, Dental & Vision Care
- Paid parental leave at 100% of salary
- Paid Time Off and Company Holidays
- Early access to earned wages through Daily Pay
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