Senior Analytics Engineer, FP&A
Remote - USA
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.
Job Profile
Remote - USA
Benefits/PerksBenefits Benefits & Perks Benefits & Perks page Bonus Bonus eligibility Compensation packages Comprehensive benefits Equity philosophy Individual compensation packages Restricted Stock Units RSUs
Tasks- Design data models
- Document data processes
- Empower end users
- Implement best practices
- Manage data pipelines
- Optimize data warehousing
- Project management
Airbyte Analytical Analytics BigQuery Business Intelligence Custom Python Scripting Databricks Data Cataloging Data engineering Data Literacy Data Modeling Data Quality Data Quality Testing Data Transformation Data Visualization Data Warehousing Dbt DLT Documentation Financial Planning Fivetran Marketing Modeling Project Management Python R Reporting Sales Security Snowflake SQL SQLMesh
Experience6 years
EducationBachelor’s degree in Computer Engineering Bachelor's degree in Computer Science Bachelor’s degree in technical field Business Computer Engineering Computer Science Engineering Equivalent Finance
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9