Analyst, Financial Planning & Analysis

Job Description

Analyst, Financial Planning & Analysis | CREW Greater Cincinnati

The Tone:
This is a full-time role at Link Logistics, located in New York, New York. Link Logistics is a leading operator of last-mile logistics real estate, established by Blackstone, managing a portfolio spanning over half a billion square feet where a significant portion of U.S. GDP flows. This position is critical for identifying, designing, and deploying AI-native solutions that will transform how the company plans, forecasts, reports, and makes decisions, impacting a massive dataset and offering substantial opportunities through AI.

The TL;DR
• Role: Early Career
• Type: Full Time
• Location: In-person, New York, New York
• Pay: $100000–$115000 yearly
• Team: Works directly with FP&A leadership, collaborating across a 30-person FP&A organization and various internal departments.
• Mission: Transform the company’s financial planning, forecasting, reporting, and decision-making processes by designing and deploying scalable AI-native solutions.
• Tech Stack: LLMs, APIs, Python, JavaScript/React, SQL, Yardi, Anaplan, Power BI, Databricks/Semantic Layer

What You’ll Actually Do
• Build & Deploy: Design, prototype, and deploy AI-driven workflows to automate or augment core FP&A processes such as budgeting, forecasting, and variance analysis.
• Develop Tools: Create internal applications, dashboards, and agents utilizing LLMs, APIs, and modern development frameworks including Python, JavaScript/React, and SQL.
• Drive Transformation: Partner with process owners to redesign existing workflows around new AI capabilities, ensuring adoption and efficiency rather than retrofitting AI onto legacy processes.
• Inform Strategy: Stay updated on the rapidly evolving AI/ML landscape, including foundation models and agents, and translate these advancements into practical business applications for the firm.
• Support Core Operations: Provide support for financial analysis, reporting, and ad hoc projects, gaining deep contextual understanding of the business, its data, and its financial ecosystem.

The Must-Haves
• Background: 1–3 years of professional experience in finance, consulting, technology, or a related analytical field, coupled with strong financial acumen to understand P&Ls, DCFs, and speak the language of FP&A.
• Experience: Demonstrated ability to build functional tools or applications using code, alongside deep and practical fluency with AI tools, capable of articulating their capabilities and limitations.
• Skills: Proficiency in coding languages like Python, SQL, and/or JavaScript; practical application of LLMs and AI-powered workflows; strong analytical and financial modeling capabilities; exceptional communication skills to bridge technical concepts with non-technical stakeholders; a high degree of agency and ownership mentality to thrive with ambiguity and take initiative.
• Bonus: Experience specifically within real estate, private equity, or asset management sectors; familiarity with data visualization tools such as Power BI, Tableau, or Looker; prior experience with data platforms and semantic layers like Databricks, Snowflake, or dbt; and exposure to building with LLM APIs, AI agents, or retrieval-augmented generation pipelines, or financial planning systems such as Anaplan, Adaptive, or Hyperion.