Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.
- Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices.
- Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc..
- Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a good story telling of the data. Tackle ambiguous problems to uncover business value with minimal oversight.
- Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable vast roles of CE team efficiently with the data products.
- Strong Communication Skills: Effectively communicate the “so-what” of an analysis, illustrating how insights can be leveraged to drive business impact across the organization.
- Education: Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred.
- Industry Experience: 4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders.
- Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR)
- Familiar with CRM platforms (i.e., Salesforce)
- Technical Proficiency:
- 6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery
- 6+ years of experience working with Python or R for analytics or data science projects
- 6+ 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
- Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design
- Hands-on experience with batch LLM pipeline is preferred
- Excellent communication skills to present findings to both technical and non-technical audiences.
- Passionate to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful.
Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant.
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If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.
Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience.
Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable.
Please see our Privacy Notice for details regarding Airtable’s collection and use of personal information relating to the application and recruitment process by clicking here.
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All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at [email protected]. Learn more about avoiding job scams here.
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Airtable Mountain View, California, USA Office
153 Castro St, Mountain View, CA, United States, 94041
Airtable San Francisco, California, USA Office
799 Market St, San Francisco, CA, United States, 94102
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