Share this Job
Company:  Madewell
Location: 

Long Island City, NY, US, 11101

Date:  Jun 15, 2021

Analyst - Digital Analytics

Digital Analyst 

(Reports to Sr. Manager – Digital Marketing)
 

 

Madewell is looking for a data-savvy Digital Analyst to join the e-commerce team. The Digital Analyst will be responsible for analyzing the digital business and will develop relationships with internal business stakeholders to assist with dashboards, sharing strategic insights, and providing actionable business recommendations in order to optimize the online experience and maximize sales. The ideal candidate will have a passion for problem solving and be comfortable using complex data sets to tell stories and inform strategic business decisions. The Digital Analyst will be experienced with web analytics tools, such as Adobe Analytics (Omniture), and should be comfortable with both quantitative and qualitative data sources.

 

You’ve got to…

  • Get us – a passion for the brand that shows up in everything you do, everyday.
  • Be a strategic thinker – spend time and energy on what drives the greatest results.
  • Look under rocks, be curious, ask questions and use your smarts to think boldly and do the right thing.
  • Be a team player – cultivate productive relationships with cross-functional business partners.
  • Communicate consistently, with purpose and an understanding of your audience.
  • Be a multi-task master – make quick decisions under tight timelines.
  • Be nimble and comfortable with change.
  • Work independently and take the lead, even when all of the pieces are not in place.
  • Articulate your point of view and have the courage and conviction to stand up for your beliefs.
  • Have a great fashion esthetic and be all over what’s happening in the industry.
  • Always be on, up for anything and ready to have fun along the way.

 

 

We want you to…

 

Site Reporting & Analytics: 

  • Create and distribute scheduled and ad hoc KPI reports on a daily, weekly, and monthly basis.
  • Work closely with internal marketing, merchandising, creative, operations and technology teams to maximize results through in-depth analysis and actionable recommendations. 
  • Support brand initiatives via detailed analytics and competitive assessments.

 

Conversion Analysis & Optimization: 

  • Fully understand the functionality and application of website analytics tools and use this knowledge to answer business questions and directly report findings and takeaways to the business decision makers. 
  • Support customer acquisition efforts by analyzing marketing initiative impact to customer site behavior using different data sources and systems. 
  • Own and build out engagement dashboards including site heat maps, merchandising dashboards, and creative recaps.  
  • Provide feedback consistently and quickly so the team can make timely improvements.

 

Site Merchandising Optimization: 

  • Track the performance of selling w/in key product folders and provide real-time feedback to merchants.  
  • Use the tools in Salesforce Commerce Cloud with Adobe Analytics data to test different sorting rules and options to optimize demand within a given product folder. 
  • Oversee the performance and optimization of other customer tools (site search, product recommendations, product ratings and reviews, etc.).

 

 

Oh, and by the way, you…

  • Minimum of 2-3 years of experience in an analytics-driven role, preferably in retail e-commerce.
  • Advanced working knowledge of Microsoft Excel (using Excel w/o a mouse, complicated/nested formulas, keyboard shortcuts, etc.). 
  • Ability to transform complex data sets into simple visuals, dashboards, and/or PPTs for analytical and non-analytical teammates; can develop actionable intelligence.  
  • Comfortable telling stories with data and articulate findings to help inform strategic business decisions.
  • Experience with Adobe Analytics (Omniture), or other web analytics tools. 
  • Draw insights from disparate data sources and make connections between qualitative and quantitative data.
  • Proficient in Microsoft PowerPoint and Microsoft Word.
  • Exhibit creative problem solving skills and be able to explain reasoning for problem solving approaches.
  • Proven ability to work with a wide range of cross-functional teams, from merchandising and creative, to IT and finance.
  • Highly motivated self-starter and must be comfortable working independently to achieve successful results with minimal guidance.  
  • Proactive! -  Ability to troubleshoot problems, especially those with no obvious owner; comfort with reaching out to co-workers in all functions to investigate issues.
  • Possess strong organizational and time management skills, with fine attention to details. Confidently handle multiple projects simultaneously and under deadlines.
  • Have strong verbal and written communication skills and be comfortable presenting in front of groups.
  • Have an interest in retail fashion, and an eye for merchandising aesthetics

BONUS SKILLS

  • Experience building dashboards and visualizations using Tableau, Power BI, or other data visualization software.
  • Advanced knowledge of Adobe Analytics eVars, sProps and Events.
  • Working knowledge of Adobe Analytics Workspace for ad hoc analysis and dashboard building.

 

 


We are committed to affirmatively providing equal opportunity to all associates and qualified applicants without regard to race, color, ancestry, national origin, religion, sex, marital status, sexual orientation, gender identity or expression, legally protected physical or mental disability or any other basis protected under applicable law.

 

 

 

03.26.18

We are committed to affirmatively providing equal opportunity to all associates and qualified applicants without regard to race, color, ancestry, national origin, religion, sex, marital status, age, sexual orientation, gender identity or expression, legally protected physical or mental disability or any other basis protected under applicable law.


Nearest Major Market: Brooklyn
Nearest Secondary Market: New York City

Job Segment: Data Analyst, Analytics, Merchandising, Cloud, Testing, Data, Management, Retail, Technology