Data Analyst, Customer Experience - Montréal, Canada - SSENSE

SSENSE
SSENSE
Verified Company
Montréal, Canada

1 week ago

Sophia Lee

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Sophia Lee

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Description
Company Description

SSENSE (pronounced [es-uhns]) is a global technology platform operating at the intersection of culture, community, and commerce.

Headquartered in Montreal, it features a mix of established and emerging luxury brands across womenswear, menswear, kidswear, and Everything Else.


SSENSE has garnered critical acclaim as both an e-commerce engine and a producer of cultural content, generating an average of 100 million monthly page views.

Approximately 80% of its audience is between the ages of 18 to 40. It is privately held and has achieved high double digit annual growth and profitability since its inception.


Job Description:


Responsibilities

Data Visualization, Analysis & Insights - 40%

  • Establish a deep understanding of the business, it's data, and patterns to become a key thought partner to business units
  • Design and implement accessible, highimpact visualizations (e.g., Tableau dashboards) to monitor business results and/or answer priority business problems
  • Extract and analyze data from multiple sources (e.g., historical data, competitive data) to identify new business and/or optimization opportunities
  • Lead the sales commission process, ensuring process and tech foundations are in place to support scaling of our commissionbased businesses
  • Socialize and transfer expertise to business leaders in Personal Shopping, Retail, and Customer Care by delivering data visualization and insights, as needed
  • Assess the competitive landscape and gather intelligence to drive insights for the Customer and Brand teams

Design & Development - 30%**- Proactively recommend improvements to the tools and platforms in place, resulting in efficient decision making (e.g., commission tracking, clienteling, sales generation, etc.)

  • Scope new analytical and reporting requirements in partnership with stakeholders to develop prototypes and operationalize analytical tooling
  • Deliver and maintain a roadmap of all ongoing improvements to the data flows to identify and create business cases for changes in processes and tools and keep stakeholders informed
  • Contribute to the organizational business intelligence body of knowledge, including process diagrams and documentation, to ensure business continuity and scalability
  • Stay abreast of emerging tools and technologies to provide informed recommendations around industry best practices

Operations Support - 30%**- Partner with business stakeholders on recurring analytical activities (e.g., client prospecting, tiering, etc) and maintaining support tools in Google Sheets, Python scripts, etc

  • Partner across the organization with Data Engineers, Data Scientists, and business users, to support on maintaining the ETL processes, the tools and other business interfaces (e.g., dashboards)
  • Monitor data consistency and report on discrepancies as well as timely follow up
  • Implement continuous training for the Customer teams of Tableau and Google Sheets

Qualifications:


  • Bachelor's degree in Engineering, Computer Science, Mathematics or a related analytical field
  • A minimum of 3 years experience in analytics with a focus on driving business impact
  • Proficiency in querying and analyzing large data sets using SQL; JavaScript or Python/R knowledge is an asset
  • Comprehensive knowledge of an ETL tool (Tableau Prep or SAS)
  • Experience with data visualization tools such as Tableau or QuickSight
  • Proficiency Microsoft Excel / Google Sheets and Microsoft PowerPoint / Google Slides
  • Strong communication skills and business acumen

Skills

  • Highly analytical
  • Attention to detail and accuracy
  • Ability to synthesize, communicate key insights, and distill analytical concepts in simple terms at various levels of the organization
  • Proficient in developing dashboards
  • Strong ability to collaborate
  • Comfortable in navigating ambiguity
  • Ownership and accountability mindset
  • Inquisitive nature and eager to learn and expand knowledge base
  • Willingness to contribute to areas beyond immediate scope of work
  • Interest or knowledge of the luxury fashion industry (brands, designers, customers)

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