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Optimization Algorithms Jobs in Pennsylvania (NOW HIRING)

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Optimization Algorithms information

What is the difference between Optimization Algorithms vs Data Analysts?

AspectOptimization AlgorithmsData Analysts
Required CredentialsMathematics, Computer Science, Programming skillsStatistics, Data Analysis, Business Intelligence
Work EnvironmentResearch, software development, algorithm designData interpretation, reporting, business decision support
Employer & Industry UsageTech companies, finance, logistics, AI developmentMarketing, finance, healthcare, consulting

Optimization Algorithms focus on developing mathematical methods to improve processes and solve complex problems efficiently, often requiring programming and advanced math skills. Data Analysts interpret data to generate insights, supporting business decisions across various industries. While both roles work with data, Optimization Algorithms are more technical and algorithm-centric, whereas Data Analysts focus on data interpretation and reporting.

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Infographic showing various Optimization Algorithms job openings in Pennsylvania as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Free People Digital Optimization Analyst

Urban Outfitters, Inc.

Philadelphia, PA • On-site

$90K - $107K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago


URBN rating

6.7

Company rating: 6.7 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

30th of 104 rated fashion retailers


Job description

Free People is looking for a Digital Optimization Analyst who possess a balance of analytical skills and strategic curiosity, and is equally comfortable pulling data and thinking about how it translates to the customer experience.

This role plays an integral part in driving digital strategy by carrying out analyses and working closely with the larger Digital team and cross-functional partners to implement optimizations on the website and app that support customer acquisition and retention and drive topline brand growth. The Analyst will contribute to an environment of fact-based, data-driven decision-making within the Free People brand, leveraging URBN’s rich first-party data to uncover global trends across marketing and ecommerce.

The Analytics team is part of the integrated Free People Digital Team which includes Marketing, Content, Consumer Insights and UX. We collaborate with a wide range of cross-functional teams and leadership across Free People and URBN to share action-oriented insights and drive the direct business.


  • Partner with web content, creative and merchandising teams to translate site performance data into actionable recommendations that inform product strategy, content decisions and customer experience
  • Own analysis and ongoing monitoring of onsite features and content, personalization placements and browser journeys, surfacing insights that shape both editorial and algorithmic strategy
  • Support category, trend and content page analysis, identifying patterns in engagement and conversion to guide merch and content decisions
  • Contribute to the strategy, QA and performance analysis of FP’s personalization program managed through Dynamic Yield, including audience segmentation and campaign and placement logic
  • Develop, maintain and distribute recurring reports that give cross-functional partners clear visibility into site performance and key KPIs
  • Analyze browser behavior and purchase patterns across Free People’s site and app to understand customer mindset, identify patterns and friction points, and provide actionable recommendations
  • Assist in QA of onsite tagging and lead communication to flag and resolve issues
  • Turn quantitative insights into qualitative recommendations and distill data down to actionable opportunities through clear delivery and communication skills

Qualifications:

  • Bachelor’s degree in Marketing, Business, Statistics, Data Science, or a related field
  • Strong aptitude for reading and understanding quantitative data with curiosity about how users behave and what drives their decisions
  • At minimum two (2) years analyzing data and translating insights into stories with actionable recommendations, preferably in retail or ecommerce environment
  • Experience writing and executing queries in a database environment (SQL/SAS/R or similar)
  • Advanced Microsoft Excel skills
  • Exceptional attention to detail and strong ability to juggle multiple priorities at once
  • Strong communication skills to champion data in a creative organization
  • Collaborative personality with the ability to also work independently
  • Ability to thrive in a fast-paced, results-oriented organization

 

Preferred Skills:

  • Experience using a data visualization tool (Tableau, Qlik, Looker, or similar)
  • Experience with digital analytics applications (Google Analytics, Adobe Analytics, etc.) measuring site performance and engagement
  • Experience partnering with creative or merchandising teams in a data or insights capacity
  • Project management or cross-functional stakeholder coordination experience

#LI-HP1 


URBN offers comprehensive Perks & Benefits to employees. Availability and eligibility to specific benefits may be subject to your location and employment status. Benefits include medical, dental, vision, PTO, generous employee discounts, retirement savings and much more! For additional information visit www.urbn.com/work-with-us/benefits


URBN celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, sex (including gender, pregnancy, sexual orientation, and gender identity or expression), religion, creed, age, physical or mental disability, national origin or ancestry, ethnicity, citizenship, service in the uniformed services, genetic information, or any other protected characteristic as established by law. We believe strongly in fostering a safe, fair and respectful work environment. To ensure compliance with our non-discrimination and anti-harassment policies, we offer anti-harassment training to managers and employees.


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