Drata

Business Intelligence Analyst

Drata

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftAWSAzureBigQueryCloudPythonSQLTableau

About the role

  • Be the expert on our key performance indicators (KPIs). You will create and maintain reports and dashboards to track Monthly Recurring Revenue (MRR), Annual Recurring Revenue (ARR), Customer Acquisition Cost (CAC), Customer Lifetime Value (LTV), churn rate, Per FTE Efficiency and other essential SaaS metrics.
  • Design, build, and maintain interactive workbooks and dashboards in Sigma that allow our teams to explore data and get answers quickly. You'll leverage Sigma's unique spreadsheet-like interface to create data models and empower business users with self-service analytics.
  • Transform complex datasets into clear, concise storytelling for diverse audiences
  • Stay informed on trends in AI, ML, and advanced analytics.
  • Partner with data engineers to ensure data is accurate, reliable, and structured correctly in our cloud data warehouse (e.g., Snowflake). You will assist in data modeling and ensure our metrics are consistently defined across the organization.
  • Work closely with leaders in Sales, Marketing, Finance, and Product to understand their needs and provide data-driven recommendations that improve efficiency and inform strategic planning. You will be a key partner in forecasting, budgeting, and performance analysis.
  • Conduct deep-dive investigations to answer complex business questions, identify root causes of performance changes, and uncover new opportunities for growth.

Requirements

  • Bachelor's degree in a relevant field (e.g., MIS, Computer Science, Statistics, Finance or Economics)
  • 3-5+ years of experience as a Business Intelligence Analyst, Data Analyst, or a similar role, preferably within a SaaS company.
  • In-depth knowledge of core SaaS metrics (MRR, ARR, LTV, CAC, churn) and experience in building and analyzing them.
  • Experience using Sigma to build dashboards and visualizations.
  • Strong proficiency in SQL for data querying and manipulation.
  • Experience with a cloud data warehouse like Snowflake, BigQuery, or Redshift.
  • Exceptional analytical skills and the ability to translate complex data into clear, actionable insights for both technical and non-technical audiences.
  • Excellent communication and presentation skills.
  • An ability to multitask and manage multiple projects - work prioritization, planning and task delegation
  • Must be motivated by working with awesome people, and dedicated to helping take Drata to the next level
  • Must be a self-starter who excels at multitasking and thrives in a fast-paced environment
  • Must have a strong desire to learn and grow
  • Experience with BI tools (e.g., Tableau, Power BI) and an understanding of their differences.
  • Familiarity with data modeling tools like dbt.
  • Knowledge of scripting languages like Python or R.