El Segundo, California
As an Analytics Engineer, you will support all analyses and reporting to drive the business forward. The ideal candidate is a self-motivated, highly detail-oriented team-player with a positive drive to strategize, implement and own business intelligence solutions that enable the business to derive valuable insights. You will work to apply software engineering best practices to the production and maintenance of analytics code and transform raw data into consumable information and business logic. This role will be pivotal in working with senior stakeholders, providing key insights quickly, and impacting the business meaningfully.
This position will report to the Director of Analytics.
Create and maintain reporting and dashboards using SQL to deliver insights
Develop actionable insights through the rigorous assessment of multiple data sources
Support and contribute to the analytics layer of our team’s data environment to make data standardized and easily accessible to end-users
Perform diagnostic analysis of varied data to identify issues and promote opportunities for improvement
Collaborate with stakeholders in our marketing, planning, digital product, and finance & operations departments to define business questions and identify opportunities for data-driven improvements
Provide consistent, accurate, and timely reporting
Build self-serve modules for data needs
Review and validate customer data (transactions, marketing platforms, purchase flow, etc.)
Work with the engineering team to diagnose and fix data discrepancies and maintain transparent code to ensure business requirements and consistent ETL logic
Integrate new data sources and build ingestion pipelines for our data warehouse
Experience working with transaction/user-level data in retail/ eCommerce
An experienced “full-stack” analyst, with 3+ years of experience in business intelligence, data science, data analysis, data engineering, or a relevant analytical/quantitative field
Experience with git and version control
Advanced SQL skills (3+ years proficiency)
Expertise with BI visualization tools, e.g., Tableau, PowerBI, Periscope Data/Sisense, Looker.
Expertise with Data Engineering Tools, e.g. DBT, Fivetran, Stitch, Funnel.
Knowledge of data warehousing best practices
Excellent communication and documentation skills-being someone who values building relationships with colleagues and enjoys explaining complex topics in simple terms
Bachelor’s degree in a Computer Science, Engineering, Math, Finance, Statistics or related discipline
Experience with cloud-based data warehousing systems (e.g., AWS Redshift, Snowflake, BigQuery, Azure SQL Warehouse)
Experience working with digital marketing data e.g. Google Analytics, Heap
Working knowledge with Amazon Web Services (inc. EC2, S3, Lambda)
Masters and/or MBA a plus
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