Job description
Who We Are
Stylitics is the leading visual outfitting and styling solution for the world’s top retailers and brands. Our clients include Nike, Macy’s, Kohl’s, Revolve, Puma, Crate & Barrel, Bloomingdale’s, and dozens of others. Founded in 2011, Stylitics uses a powerful combination of algorithms, trend data, and stylist expertise to deliver millions of on-brand outfit recommendations daily across multiple channels such as e-commerce, email, advertising, stores, and social media. About 100 million shoppers use Stylitics content and technology on retail sites each month to find inspiration, discover new products and brands, and gain confidence in how to style their purchases.
About the Role
As a senior product data analyst, you will leverage your skills in SQL, data engineering, and product planning to help us launch and measure our digital products. You will analyze consumer interaction data, manage A/B tests end-to-end, and build the data pipelines, dashboards, and presentations to help our product, engineering, and account teams know what works and what we should build next.
This role reports to the VP of Analytics and works day-to-day as part of a large, cross-functional team.
What You Will Do
- Partner with product, engineering, and account teams to ensure that we are tracking the right data to fully measure product success
- Help build data pipelines (using dashboarding and ETL tools) to summarize raw data into useful datasets and dashboards, in order to simplify and scale our analysis
- Define and document requirements for tracking user touchpoints with Stylitics products
- Contribute to ongoing and programmatic QA of data sources
- Build Looker dashboards and perform ad-hoc analyses to track product performance and evaluate hypotheses
- Enable opportunity evaluation – collaborating with product and finance stakeholders to collect data and build input-driven estimation tools
Must-Have Qualifications
- 5+ years of data analyst experience, with responsibility for initiating, executing, and presenting projects for cross-functional teams
- BS (or equivalent experience) in a technical field like Computer Science, Engineering, Mathematics, Statistics, or Marketing Analytics
- Fluent with complex SQL queries on millions of rows (joins, subqueries, window functions)
- Proficient understanding of how event data is tracked using tools like Google Analytics, Adobe Analytics, Snowplow Analytics, or Amplitude
- Experience with data visualization tools, like Looker, Tableau, or Power BI (we use Looker)
- Experience writing user stories and documentation for engineering teams
- Willingness to programmatically clean messy datasets (deduping, string parsing, JSON and XML parsing)
- Confidence to share the limitations of your analysis when the data isn’t perfect
- Advanced Excel proficiency (you should be comfortable with pivot tables and lookups to summarize results)
Nice-to-Have Qualifications
- Experience working with e-commerce and web data
- Experience with reproducible data analysis using Python or R
- Basic understanding of prediction and personalization algorithms (e.g. purchase and churn propensity models, product recommendations).
- This role will not build production models, but it will help if you understand how those models generally operate in connection to CRM and testing initiatives
- Experience setting up processes to monitor datasets for anomalies
Salary
When we find the right person, we try to put our best foot forward with an offer that excites you and is fair on our end. We consider the skills and experience you bring, what similar jobs pay, and make sure there’s equal pay for equal work among those you’ll be working with. The compensation amount for this role is targeted at $90,000.00 - $115,000.00 USD annually. The final offer also takes into account other factors of a total compensation package, including what is market-based on the region. Please note that the range is being shared in good faith and is subject to modification based on changing market and business conditions.
Our Benefits & Perks
- Vision and dental insurance options that are fully covered by us
- Medical plan coverage, with options that start at no cost to you
- Competitive salary along with career planning for the future
- Commuter benefits program
- Company matched 401k plan to help plan for your future
- Generous paid time off policies
- Work events - both virtual and in person
- Access to Gympass - a company paid benefit giving you access to numerous physical and mental well being needs
- Working with fun, hardworking, nice people who are committed to making a difference
Our Values
Our values reflect what is important to us at Stylitics and serve as the foundation in which we do business. Each core value is best illustrated by actions and attitudes that each Stylitics team member practices. They define what working at Stylitics means and what our teams embody through their time here.
- We care deeply about delivering high quality work
- We work to be the best partners possible
- We get things done
- We believe the right team matters most
- We think like customers and act like owners
- We relish being pioneers
Join Us
We strive to create a place where all feel safe, empowered, engaged, championed, and inspired. Equal Employment Opportunity has been and will continue to be, a fundamental principle at Stylitics where employment is based upon personal capabilities and qualifications without discrimination because of race, religion, color, gender, national origin, age, citizenship, ancestry, marital status, sexual orientation, gender identity and expression, pregnancy and related medical conditions, veteran status, genetic information, disability or any other reason prohibited by federal, state or local law. This applies to all policies and employment practices relating to recruitment and hiring, compensation, benefits, termination and all other terms and conditions of employment.
