Data Scientist - Finance Analytics

Data Scientist – Finance Analytics

Company	Airtable
Location	San Francisco, CA, USA, Austin, TX, USA, New York, NY, USA
Salary	$161500 – $221500
Type	Full-Time
Degrees	Bachelor’s, MBA
Experience Level	Mid Level, Senior

Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred
4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting finance and revenue stakeholders
4+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery
4+ years of experience working with Python or R for analytics or data science projects
4+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc.
Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran, etc.
Some knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design
Excellent communication skills to present findings to both technical and non-technical audiences
Passionate to thrive in a dynamic environment.

Champion Data Excellence for Leadership: Foster a culture of high-standard data practices, enhancing the analytical capabilities of the CFO org.
Define Business and Financial Metrics: Address complex, ambiguous business challenges by developing clear, consistent, and actionable metrics that provide transparency and track business performance at the highest levels.
Strategic Analysis: Drive in-depth financial analysis to ensure the accuracy and relevance of key metrics, aligning them with the Strategic Finance Team and business stakeholders. Tackle ambiguous problems to uncover business value with minimal oversight.
Develop Executive Dashboards: Design, build, and maintain sophisticated dashboards and KPIs, providing the CFO org with real-time insights into the company’s financial health and business performance.
Communication Skills: Effectively communicate the ‘so-what’ of an analysis, illustrating how insights can be leveraged to drive business impact across the organization.