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Senior Data Analyst, Product at Stylitics

Senior Data Analyst, Product

@

Stylitics

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Posted on: 
June 30, 2023
Status: 
Expired
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1

Summary of the Senior Data Analyst, Product job at Stylitics

Stylitics is hiring a Senior Data Analyst, Product with 5 - 10 years of experience. Based in United States - New York, NY and with Hybrid ways of working. The expected salary range for this role is $90,000 - $115,000
About Stylitics

Founded in 2011, Stylitics is an outfitting and styling technology partner to the world’s most forward-thinking retailers. We help retailers deepen customer relationships, maximize every sales opportunity, and create efficiencies everywhere from the design studio to the sales floor. An end-to-end outfitting solution that’s one part tech, one part brand strategy, and one part visual merchandising. Starting with a database of stylish outfit images that are created automatically according to your brand, Stylitics makes it possible for retailers to deliver personalized, outfit-driven experiences for every product, to every customer, everywhere—no stylist required.

Senior Data Analyst, Product job description

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
Senior Data Analyst, Product job requirements

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
What we offer at Stylitics

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

Please mention “I found this job at DataAnalyst.com!” in your application, it will help us offer you more opportunities

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Stylitics

Stylitics

is hiring

Senior Data Analyst, Product

Website:
Posted on: 
April 1, 2024

About Our Company

Founded in 2011, Stylitics is an outfitting and styling technology partner to the world’s most forward-thinking retailers. We help retailers deepen customer relationships, maximize every sales opportunity, and create efficiencies everywhere from the design studio to the sales floor. An end-to-end outfitting solution that’s one part tech, one part brand strategy, and one part visual merchandising. Starting with a database of stylish outfit images that are created automatically according to your brand, Stylitics makes it possible for retailers to deliver personalized, outfit-driven experiences for every product, to every customer, everywhere—no stylist required.

Job Description & Responsibilities

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

Requirements

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

What we offer

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
Apply now

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