Sr Analytics Engineer, FP&A

As a Sr Analytics Engineer at Abnormal Security, you will be responsible for designing and maintaining data models, overseeing data warehousing processes, and empowering users with intuitive datasets for reporting and analysis. Collaborating with various teams to enhance our analytics stack is a key responsibility.

To qualify for the Sr Analytics Engineer position at Abnormal Security, candidates should have a Bachelor's degree in a technical field along with at least 6 years of experience in roles such as Data Engineer or Data Analyst. Proficiency in SQL and knowledge of a scripting language like Python or R are also required.

At Abnormal Security, the Sr Analytics Engineer plays a vital role in enhancing data quality through best practices for data modeling, testing, and documentation. By implementing cataloging practices, you will elevate data literacy across the company, ensuring that the data products are trusted and utilized effectively.

In your role as a Sr Analytics Engineer at Abnormal Security, you will work with relational data warehouses such as Snowflake, BigQuery, or Databricks. You'll also use data transformation tools like DBT and loading tools such as Fivetran or Airbyte to facilitate data processes.

The team environment at Abnormal Security is highly collaborative and supportive. As a Sr Analytics Engineer, you’ll work closely with users across the organization to help them understand data and make informed decisions, fostering a culture of continuous improvement and growth.

When answering this question, detail your proficiency with SQL, including specific projects where you've used SQL for data modeling or analysis. Mention how your SQL skills have contributed to effective reporting or improved data processes.

Highlight your approach to project management, including tools or methodologies you use. Discuss how you prioritize tasks and navigate any challenges to meet deadlines and achieve project goals.

Explain your methods for creating clear documentation, such as using visual aids or simple language. Emphasize your understanding of the audience’s needs and how you ensure the documentation is accessible and useful.

Share a specific instance where you identified inefficiencies in a data pipeline and the steps you took to optimize it. Include any tools or techniques used and the positive outcomes that resulted from these improvements.

Discuss your familiarity with tools such as DBT, Fivetran, or Airbyte, and provide examples of how you’ve implemented them in previous roles to enhance data processing and reporting efficiency.

Talk about your methodology for data modeling, including factors you consider such as data accuracy, scalability, and usability. Provide examples of data models you've built and how they supported business objectives.

Detail your hands-on experience with relational data warehouses such as Snowflake or BigQuery, including the types of projects you’ve worked on and any significant impacts your work had on data accessibility and analysis.

Describe the practices you employ to maintain data quality, such as regular auditing, testing, and validations. Emphasize the importance of data integrity to support accurate analytics and decision-making.

Explain your belief in the importance of clear and accessible documentation to promote data literacy within the organization. Talk about how thorough documentation facilitates better collaboration and trust in data.

This is your chance to express your enthusiasm for the role. Discuss what excites you about Abnormal Security’s mission, the impact of the role, and how your skills align with expanding the analytics capabilities in a fast-paced environment.