Data Analyst

Job Description

Fabletics is looking for a Data Analyst to join our Marketing Science & Analytics team. 

Fabletics is the operating system behind some of the fastest growing e-commerce brands in history: Fabletics, YITTY, Savage X Fenty, JustFab, ShoeDazzle and FabKids. As an organization driven by data, we're on a mission to optimize marketing spend efficiently and constantly enhance the customer experience across our portfolio of brands.  

How do you fit in? 

As a Data Analyst at Fabletics, you will play a crucial role in generating insights that empower our internal teams to scale marketing spend effectively and drive exceptional customer experiences from ad exposure to checkout. You will collaborate closely with Data Analytics, Media, and a diverse team of data professionals with various expertise and focuses. 

Tools and Technologies: 

Expect to leverage SQL and data visualization tools like Tableau daily, with opportunities to work on larger projects involving data integration and automation using platforms like Databricks and Airflow. Flexibility in choosing the best tools for your role is encouraged, reflecting our commitment to ongoing education and exploration of new technologies. 

Ideal Candidate: 

We seek a detail-oriented, intrinsically motivated Data Analyst who possesses an inherent curiosity and technical prowess. Your journey to becoming an expert in our systems, tools, and data likely extends beyond formal education, enriched by your passion for diving deep into data analysis. A great storyteller who enjoys collaboration, you will be pivotal in optimizing our digital marketing strategies and media initiatives. 

This position will report to the Director of Marketing Science & Analytics.  

What you will do: 

• Media Attribution Expertise: Implement, maintain, and enhance our internal attribution models using SQL and Python. 

• Testing & Optimization: Create testing frameworks and tagging recommendations to support robust analysis. Design, deploy, and measure lift tests to enhance performance KPIs.  

• Data Extraction & Analysis: Utilize data from various sources (HEAP / Google Analytics, Meta Reporting Suite, Tableau, etc.) to extract insights. 

• Campaign Performance Monitoring: Analyze campaign performance daily, ensuring alignment with business and marketing objectives. 

• Trend Analysis: Uncover trends in large data sets to identify optimization opportunities. 

• Micro-Level Insights: Analyze audience segments, creative themes, ad formats, placements, and bid strategies to improve paid media performance. 

• Campaign Data Management:<