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.
Key Responsibilities:
- 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
Ideal Candidate Profile:
- 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
Who you are
- 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
What you will do
- 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
Must Haves
- 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)
Nice to Have
- Experience working in a high-growth startup environment
- Experience as a solutions engineer or analytics consultant
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