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SSENSE

Senior Data Analyst, Advanced Analytics - Customer

Posted Yesterday
Be an Early Applicant
Toronto, ON
Mid level
Toronto, ON
Mid level
The Senior Data Analyst role involves delivering actionable customer insights and developing statistical and ML models to inform strategic business initiatives. The position requires strong analytical skills, proficiency in SQL and Python/R, and effective communication to influence decision-making.
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Company Description

SSENSE 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

About the Job:

The Senior Data Analyst, Customer Analytics is a hands-on and highly integrated role, shaping the future of Customer Analytics capabilities within SSENSE. They deliver actionable customer insights and models to inform strategic initiatives and drive key business results. They act as a subject matter expert and a thought partner to business leaders/P&L owners in the Customer Group while influencing strategic initiatives in collaboration with Ops and Product.

The ideal candidate possesses strong technical and analytical capabilities, along with strong business acumen and communication skills. They are relentlessly curious about how we can create long-term value for our customers and the business.

What You Will Do:

  • High visibility and high impact role supporting the delivery of the long-term customer insights strategy and roadmap;

  • Develop tools and statistical and ML models to expand the customer segmentation framework;

  • Design and build robust measurement plans to assess the impact of various Customer initiatives, leveraging data analysis techniques as needed (statistical modelling, causal inference, etc.);

  • Delivers high-impact visualizations (e.g., dashboards) and elevates analysis and insights into key narratives;

  • Elevate your analytical capabilities by leveraging modern data tools within a well-structured data platform.

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related analytical field; Master's degree, an asset;
  • 4-6 years experience in analytics with a proven track record of driving business impact;

  • Experience developing customer segmentation models;

  • High proficiency in querying and analyzing large data sets using SQL; practical experience working with common machine learning libraries in Python/R;

  • Strong communication skills and business acumen.

What Sets You Apart: 

  • Analytical and Detail-Oriented: Highly analytical with a strong focus on details and a growth mindset to tackle challenges effectively;

  • Communication and Business Acumen: Strong ability to communicate key insights, synthesize and influence change at various levels of the organization;

  • Accountability and Ownership: Demonstrates strong teamwork, high accountability, and ownership of tasks and projects;

  • Adaptability and Influence: Capable of driving change through ambiguity, influencing others, and thriving in a fast-paced environment.

Additional Information

Why Join Us:

  • Extended health and dental benefits, including comprehensive mental health programs and coverage
  • Parental top up program
  • Generous Employee Discount 
  • Access to telemedicine and employee and family assistance program
  • Savings and retirement plan matching contributions
  • Gender Affirmation Coverage
  • Opportunity to work with cutting edge technologies and an innovative team that’s pushing the boundaries of technology

SSENSE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you need special accommodations, let us know. We will do our best to accommodate you

 #LI-Hybrid

Top Skills

Python
R
SQL

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