Remote Senior Analytics Engineer, FP&A

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Abnormal Security

💵 $178k-$210k
📍Remote - United States

Job highlights

Summary

Join Abnormal Security as a Senior Analytics Engineer to define, develop, and deploy the foundations of our analytics stack. You'll partner with clients to design reliable data models and visualizations, optimize data warehousing processes, empower end users to explore data-related questions, and implement cataloging and documentation best practices.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, or other technical field
  • 6+ years of experience as an 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

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

Benefits

  • Bonus
  • Restricted stock units (RSUs)

Job description

About the Role

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.

What you will do

  • 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.

Must Haves

  • Bachelor’s degree in Computer Science, Computer Engineering, or other technical field
  • 6+ years of experience as an 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

#LI-AW1


At Abnormal Security certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.

Base salary range:

$178,500—$210,000 USD

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