Senior Analytics Engineer, FP&A

Posted 15 Days Ago
Hiring Remotely in USA
Remote
179K-210K Annually
Senior level
Security • Cybersecurity
The Role
The Senior Analytics Engineer will manage the analytics stack for the FP&A team, developing and optimizing data models, maintaining data warehouse processes, and empowering users within the company to explore and analyze data independently. The engineer will also implement best practices for data cataloging and documentation.
Summary Generated by Built In

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

Top Skills

Python
R
SQL
The Company
San Francisco, CA
175 Employees
On-site Workplace
Year Founded: 2018

What We Do

The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow.
Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.

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