Principal Data Analyst

6 hours, 58 minutes ago
Full-time
Lead
Data Science and Analytics
Kaseya

Kaseya

Kaseya provides integrated IT management and security solutions for MSPs and SMBs, enabling centralized IT operations, remote management, cybersecurity, and automation.

IT Services
1K-5K
Founded 2000
$567M raised

Description

  • Develop and continuously improve frameworks for investigating ARR through daily reporting and analysis.
  • Build reporting and dashboards based on ARR investigative frameworks.
  • Develop logic to analyze how renewals processing velocity affects ARR movements.
  • Detect anomalies in opportunities that positively or negatively impact ARR.
  • Design and execute new frameworks for incremental ARR measurement.
  • Partner with Data Engineering to translate reporting requirements through the medallion architecture.
  • Produce ongoing commentary on performance against operating plans.
  • Support monthly board reporting.
  • Independently develop ETLs, new metrics, and analytical frameworks.
  • Partner with Data Science teams on new models and AI products.

Requirements

  • Bachelor’s degree in a quantitative field such as Analytics, Data Science, Engineering, Math, Economics, or Operational Research, or equivalent.
  • 10+ years of experience in Analytics or Data Science, or equivalent.
  • Strong proficiency in SQL and Excel.
  • Track record of developing thoughtful, actionable dashboards for executive audiences.
  • Ability to organize ambiguity and clearly communicate the key takeaway or “so-what.”
  • Experience owning COO-facing daily reporting and investigations.
  • Comfort working with financial data and messy sales data.
  • Builder and scaler mindset.
  • Desire to influence strategy through thoughtful data analysis, investigations, and science.
  • Master’s degree or higher in a relevant field preferred.
  • 12+ years of experience in Analytics and Data Science preferred.
  • 1+ years of experience with AI tools and prompt engineering preferred.
  • Experience developing machine learning models from scratch preferred.

Interested in this position?

Apply directly on the company website

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