Overview

Job TypeFull-timeDescriptionAbout BirdeyeBirdeye is the leading agentic marketing platform for multi-location brands.Companies like H&R Block, Aspen Dental, and Caesars Entertainment use Birdeye to manage marketing across thousands of locations — from how they get found, to how they convert, to how they retain customers.

Responsibilities

• Data Modeling & dbt Engineering
• Develop and maintain the full dbt model layer — from raw staging to marts — transforming messy transactional data into clean, finance-validated schemas.
• Design and enforce a semantic layer for SaaS metrics: ARR, MRR, NRR, GRR, Churn, Expansion, and LTV.
• Implement dbt best practices: modular design, ref() usage, incremental models, exposures, and a well-documented DAG.Own the Revenue Logic layer — ensuring the data warehouse definition of recognized revenue matches the General Ledger in NetSuite at every grain. AI Integration & Automation
• Collaborate with the Finance
• Lead to deploy Claude Code and Python-based agents that automate complex reconciliations, variance analysis, and anomaly detection.
• Build agentic workflows that replace manual analyst tasks: auto-generating commentary on revenue movements, flagging suspicious transactions, and summarizing period-over-period shifts.
• Integrate LLM-powered tooling into data pipelines to enrich financial data with natural language context and classification.Evaluate and adopt emerging AI tooling (vector databases, RAG pipelines, fine-tuning) to enhance finance automation use cases. Data Quality & Integrity
• Implement a comprehensive automated testing framework using dbt tests to validate business logic.Own data quality SLAs for the Finance domain: define acceptance thresholds, track quality scores, and report to stakeholders.
• Build and maintain data lineage documentation so the Finance team always knows the provenance of every number. Analytics Engineering & BI SupportPartner with FP&A and Accounting to design executive-ready financial dashboards in Tableau or similar BI tools.Perform deep-dive SQL analysis in Snowflake to diagnose and resolve discrepancies between upstream CRM data and downstream financial reports.
• Work with a cutting-edge tech stack in a fast-paced, innovative environment.Total ownership of the financial systems roadmap.Competitive compensation, equity, and a culture that values Business Technologists who can drive real bottom-line impact.