Analytics Engineer, Abnormal Security

• Thrives in an entrepreneurial environment and can confidently manage competing priorities and ambiguity
• Self-motivated and has the ability to role up their sleeves and get stuff done
• Possesses a growth mindset and is a quick, keen learner
• Enjoys working with people to understand their challenges and building technical solutions to address them
• You are an experienced data engineer with a strong track record for designing, building, deploying, and managing data systems
• You have experience as a solutions engineer, comfortable with approaching complex problems and applying your expertise to build elegant solutions
• You have a strong sense of how to use data to answer critical business questions and are motivated by enabling that capability across the company
• You are customer obsessed - always going the extra mile to deliver high quality work for your stakeholders
• You are a strong communicator, excellent project manager, and gritty
• 2+ years of experience performing detailed analysis of business process / BPM and data management 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 resources
• Strong project management skills and ability to prioritize, unblock, flag risks, and push progress forward
• Experience w/ modern data stack tools (e.g. Fivetran, dbt, Snowflake, Sigma / Looker / Tableau)
• Ability to work with various stakeholders (both technical and non-technical) and across all levels (lower level individual contributor to executives)

Desirable

• Abnormal Security is seeking an experienced Analytics Engineer to join our IT Business Technology Enablement team
• In this role, you will be instrumental in implementing, developing, and managing enterprise data systems, data-driven processes, and analytics tools
• Partner with cross-functional stakeholders to design and develop processes, data integrations, and decision-making tools
• Work with specific business applications, data pipelines, data warehouses, data modeling layers, and business intelligence tools
• Partner closely with IT leaders, other data practitioners, and key stakeholders to implement a robust data systems strategy and scalable analytics solutions
• Work with business stakeholders to design & develop cross-functional processes, utilizing data integrations and transformation to enhance organizational capabilities
• Approach a variety of manual processes with a consistent eye for automation, standardization, and measurability
• Contribute to development and effective use of Abnormal’s data systems - Fivetran, dbt, Snowflake, Sigma
• Transform raw data into consumable datasets with key business logic implemented
• Improve data infrastructure and governance through process definition, standards, and documentation
• Ensure data quality by implementing re-usable data quality frameworks
• Support growth on the team and across other teams via feedback and mentoring
• Facilitate other ad hoc requests as needed