Data Analyst/Analytics

El Segundo, California
TEEMA

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.

Responsibilities:

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

Required Responsibilities:

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

Preferred Qualifications:

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