Airslate

Senior BI Analyst / Data Analyst

  • Airslate

Job Description

About the Strategy Department

The airSlate Strategy Department leads monetization and PLG strategies and analytics across airSlate's product suite. This includes owning the pricing strategy, the product-qualified leads upsell strategy, and key strategic monetization and go-to-market initiatives. The department also aims to provide product, marketing, and executive teams with useful insights, segmentation, user behavior, and North Star metrics to improve the performance and effectiveness of teams across the company.

And now we’re looking for a BI-focused Data Analyst to help build a scalable analytics foundation for data-driven product decisions. In this role, you’ll design the semantic layer, develop automated dashboards, and translate data into actionable insights for product, marketing, and finance teams.
You’ll work closely with product leadership to define KPIs, ensure data consistency, and evolve BI processes to support product growth. This is a hands-on position combining strategic impact with technical depth — perfect for someone who enjoys shaping analytical frameworks and bringing clarity through data.




What you'll be working on:
  • Design and implement the semantic data layer and curated views to provide unified metrics across product, marketing, and finance.
  • Build automated, scalable dashboards and analytical tools in BI platforms to support product leadership with real-time insights.
  • Collaborate with Product Managers, Finance, and Data Engineering to define KPIs, align metric definitions, and ensure consistency.
  • Act as a data consultant for product strategy initiatives, providing deep-dive analysis and actionable recommendations.
  • Develop monitoring systems to track product funnel performance and proactively identify growth opportunities or risks.
  • Optimize data models and queries for performance and scalability in Redshift (or equivalent data warehouses).
  • Ensure high data quality, documentation standards, and best practices across dashboards and semantic models.

    • What we expect from you:
  • 4+ years of experience in BI, analytics, or data science, with hands-on work in dashboards and data modeling.
  • Strong SQL skills and experience with Redshift, BigQuery, Snowflake, or similar data warehouses.
  • Strong Python skills (1.5–2+ years).
  • Proven experience building semantic layers, data marts, or curated datasets.
  • Track record of designing dashboards that enable actionable business decisions.
  • Experience in SaaS, product analytics, or subscription-based business models is a plus.
  • Familiarity with product metrics: retention, churn, LTV, funnel analysis.
  • Experience with dbt or other data modeling frameworks is a strong plus.
  • Understanding of ETL/ELT concepts and data warehouse architectures.
  • English: Upper-Intermediate or higher 

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