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Abnormal Securityposted 2 months ago
$178,500 - $210,000/Yr
Full-time • Senior
Resume Match Score

About the position

Abnormal Security is looking for a Senior Analytics Engineer to join the Financial Planning & Analytics (FP&A) team to define, develop, and deploy the foundations of our analytics stack. Day to day, you’ll help manage our end to end stack – data pipelines, data warehouse, data modeling layer, and business intelligence. You’ll be a highly collaborative partner to enable analytics at scale and set this hyper growth company up for success.

Responsibilities

  • Partner with clients of Data Engineering to design and maintain reliable data models and visualizations that allow for seamless reporting and analysis.
  • Optimize data warehousing processes by enhancing existing data models, building net new models and implementing best practices for data quality testing.
  • Empower end users throughout the company to independently explore and answer data-related questions using well-organized and intuitive datasets.
  • Implement cataloging and documentation best practices in order to raise data literacy and adoption of our data products across the company.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, or other technical field
  • 6+ years of experience as a Data Engineer, Data Analyst, or equivalent experience
  • Expertise in SQL and advanced knowledge of at least one scripting or statistical programming language (Python, R)
  • Strong understanding of analytical data-warehousing concepts
  • Ability to write clear documentation and communicate complex technical topics to non-technical users
  • Strong project management skills and ability to prioritize, unblock, flag risks, and push progress forward
  • Experience working in relational data warehouses such as Snowflake, BigQuery or Databricks
  • Experience with data transformation tools such as DBT, DLT or SQLMesh
  • Experience with Extract and Load tools such as Fivetran, Airbyte or custom Python scripting

Nice-to-haves

  • Finance or Sales and Marketing Analytics related experience

Benefits

  • Bonus eligibility
  • Restricted stock units (RSUs)
  • Comprehensive benefits package

Job Keywords

Hard Skills
  • Airbyte
  • BigQuery
  • Python
  • R
  • SQL
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