Analytics Project Lead, Financial Services

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🕒 May 16

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Logo of Jones Lang LaSalle Americas, Inc.

Jones Lang LaSalle Americas, Inc.

10,000+ employees

We provide commercial real estate services for corporations and investors across the globe that save money, increase productivity and improve sustainability.

📋 Description

• 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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