AI Analytics Engineer (Business Analytics)

1 day, 18 hours ago
Full-time
Junior
Data Science and Analytics
Airtable

Airtable

Airtable is a low-code platform for building next-gen apps, organizing data, and streamlining workflows with AI. It combines the speed of a spreadsheet with the power of a database, offering collaborative features and templates for various needs.

IT Services
1K-5K
Founded 2012
$1400M raised

Description

  • Design and maintain trusted data models for core financial metrics such as ACV, ARR, billings, revenue recognition, and cost allocation.
  • Develop and govern dbt data pipelines with data integrity standards and SLAs for Finance and Accounting.
  • Build and optimize dashboards that provide real-time, self-serve insights on revenue, expenses, budget variance, and forecasting accuracy.
  • Create scalable self-service datasets in Looker and Omni to reduce ad-hoc requests and manual reporting.
  • Collaborate with Finance and data partners to define the AI Business Context layer for financial use cases.
  • Develop tools for natural language access to financial data and AI-assisted reporting.
  • Design AI-powered workflows that surface patterns, anomalies, and meaningful changes in financial data proactively.
  • Serve as the primary data partner for FP&A, Accounting, and Finance leadership on strategic analysis and decision-making.
  • Translate complex data insights into clear business recommendations through dashboards, memos, and presentations.
  • Drive cross-functional adoption of analytics and AI tooling by onboarding users, answering questions, triaging issues, and training teams.

Requirements

  • 1–4 years of professional experience is particularly preferred for this role.
  • SQL proficiency and experience with modern data tools such as dbt, Databricks, Snowflake, or similar.
  • Experience with AI tooling and LLMs such as Claude, Claude Code, ChatGPT, or Manus.
  • Strong ability to validate query logic and troubleshoot data issues independently.
  • Strong writing and communication skills for documenting business logic and context clearly.
  • Detail-oriented approach with financial rigor and a commitment to accuracy.
  • Business curiosity and interest in how revenue, sales, and key metrics work.
  • Ability to thrive in ambiguity and own workstreams end-to-end from scoping through iteration.
  • Willingness to build prototypes, pipelines, and scripts rather than only theorizing.
  • Deep expertise in Airtable’s financial data models, pipelines, and BI tools (dbt, Looker, Omni) within the first six months, as a stated expectation.

Benefits

  • Base salary of $157,100-$193,600 USD for San Francisco Bay Area, Seattle, New York City, and Los Angeles work locations.
  • Base salary of $141,600-$175,100 USD for all other work locations, including remote.
  • Total compensation may include benefits, restricted stock units, and incentive compensation.
  • Comprehensive benefit offerings are available.
  • Airtable supports reasonable accommodations for applicants with medical conditions, disabilities, or religious beliefs/practices.

Interested in this position?

Apply directly on the company website

Apply Now

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