Remote Data Scientist

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Airtable

πŸ’΅ $169k-$266k
πŸ“Remote - United States

Job highlights

Summary

Join Airtable's Finance Analytics Team as a Data Scientist to drive in-depth financial analysis, communicate complex insights effectively, and partner with executive leadership to influence high-level financial strategies.

Requirements

  • 6-10 year experience as a data scientist - preferable working with leadership teams at high growth startups
  • Skilled in Looker Semantic Modeling and BI Tooling: Expertise in building self-service data sets in Looker, enabling easy consumption by Finance Team members and the broader company
  • Detail-Oriented Investigator: Driven by curiosity to explore data beyond the surface, discovering essential insights that guide strategic decisions
  • Experienced Financial Data Analyst: With at least 6 years in roles like Data Scientist, Analyst, or Engineer, you possess deep expertise in financial data strategy
  • Skilled in Data Translation: Excel at transforming complex data into meaningful, actionable insights, effectively storytelling to impact high-level financial strategies
  • Technically Proficient: Proficient in SQL and tools like R or Python, you handle large datasets with ease, ensuring data integrity and accessibility
  • Effective Communicator: You communicate complex data insights clearly and effectively, making sophisticated analytical concepts accessible to a non-technical audience

Responsibilities

  • Drive in-depth financial analysis to ensure the accuracy and relevance of key metrics, aligning them with the CEO's and Leadership Team's strategic priorities
  • Tackle ambiguous problems to uncover business value with minimal oversight
  • Effectively communicate the β€œso-what” of an analysis, illustrating how insights can be leveraged to drive business impact across the organization
  • Provide analytical insights and direct support to the CEO and Leadership Team, influencing high-level financial strategies and critical decision-making processes
  • Define Executive-Level Metrics: Address complex, ambiguous business challenges by developing clear, consistent, and actionable metrics that provide transparency and track business performance at the highest levels
  • Champion Data Excellence for Leadership: Foster a culture of high-standard data practices and experimentation, enhancing the analytical capabilities and decision-making power of the CEO and Leadership Team
  • Develop Executive Dashboards: Design, build, and maintain sophisticated dashboards and KPIs, providing the CEO and Leadership Team with real-time insights into the company’s financial health and strategic performance

Benefits

Total compensation package includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation

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