Data Analyst, Customer Experience - Montréal, Canada - SSENSE
Description
Company DescriptionSSENSE (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.
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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