AAA Life is seeking an Analytics Engineer to add to our team! You will be responsible for building and maintaining data infrastructure essential to AAA Life’s business intelligence, data governance and operational reporting efforts. You will also support data processes from end-to-end, including data ingestion, transformation, visualization, and design data architecture to facilitate analysis and ensure best-in-class operational reliability and modularity.
POSITION RESPONSIBILITIES
Required Skills
Required Experience
2+ years’ experience in a data engineering, business intelligence, or technical data analytics role.
Expertise in SQL and ETL optimization techniques, especially within cloud-based data warehouses like Snowflake, BigQuery, and Redshift, as well as use of command line and version control software (git).
Proficiency in Python including the Pandas and Numpy libraries.
Proficiency in using JavaScript to tag websites for analytics.
Expertise in data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and dimensional data modeling.
Ability to leverage tools, business intuition, and attention to detail for data validation and QA.
Excellent communication skills, particularly when explaining technical or complex matters to less technical co-workers.
A high degree of motivation to be proactive and go above and beyond the task at hand.
BS degree in Engineering, Computer Science, Math or a related technical field.
Understanding of major marketing channels, such as TV, direct mail, social media, search.
Familiarity with data schemas and logging of common marketing platforms, such as Salesforce, Adobe Campaign, and Google Analytics.
Experience with data ingestion tools such as Fivetran, Stitch, Talend or Matillion.