Analytics Engineer

Company Description

SPANX isn’t your average company… we revolutionized an industry with just $5,000 in savings and zero outside funding. Our founder, Sara Blakely, was named one of TIME Magazine’s 100 Most Influential People in the world. We are in the fashion and retail industry, but we don’t obsess trends, rules or traditional ways of doing things. Rather, we invent solutions and hold several patents. We are focused on reinventing wardrobe basics that have earned cult-followings from customers around the world, earning Spanx shout-outs from the world’s most famous women. We are a high-growth, digital company with an iconic brand that earned its reputation for over 20 years by delivering amazing products and staying true to our greater mission of supporting and elevating women. We don’t believe “pain is beauty” and we don’t believe “business is war.” We run our business with kindness, empathy, intuition, creativity, integrity… and fun. We don’t believe you have to act serious to be taken seriously. We dream big, think forward and give back. We challenge the status quo, aim high and celebrate our “oops” moments. We test and learn, and we aren’t afraid of failure. We think like entrepreneurs in everything we do, and we look for people who are self-starters, kind, creative and out-of-the box-thinkers. If this sounds like you, join us! And help us make the world a better place... one butt at a time.

Job Description

Maintain knowledge of and document data sources that provide critical performance metrics across various business functions
Possess a thorough understanding of the lineage and context of various key business metrics
Develop data models in dbt that capture key metrics about business processes
Assist in reconciling differences in metrics sourced from different systems
Successful delivery on multiple projects and efforts to orchestrate and deliver cohesive data solutions in partnership with data engineering
Stay current and be an advocate of latest data modeling methodologies and data processing best practices for the cloud such as functional data engineering
Work with business operations teams to identify reporting requirements and develop reports

Qualifications

Min 5+ years of data analysis experience
Highly proficient in SQL and advanced development experience in Python (Java, Scala ok)
Critical Thinking – reasons from first principles, is skeptical, logical, and curious
Systems Mindset – designs processes that are efficient, resilient, and reliable
Understanding of pros and cons of various data modeling techniques and trade-offs
Experience with data warehousing in the cloud and deploying solutions to cloud platforms such as Snowflake (preferred), AWS or Azure
Experience with dbt and git strongly preferred. Familiarity with dagster, hightouch nice to have.
Experience data visualization software, Tableau preferred
Advanced Excel skills with good modeling hygiene
Communicate a strong point of view loosely held
Experience working across multiple business functions (preferably in a retail or e-commerce)
Ability to multi-task and deliver effectively across teams under tight deadlines
Strong work ethic and a drive for continuous improvement
Bachelor’s in computer science, engineering, statistics, economics, or other quantitative discipline; Masters preferred.

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