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 ElseTM.
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
Reporting to the Growth Analytics Principal, the Senior Analyst, Growth Analytics, is a highly integrated role, essential to the future of business intelligence at SSENSE while embedded with various internal teams such as Search Engine Marketing, Affiliate Marketing, Social Media and Promotions. This role will empower business partners by building self-serving monitoring capabilities; automating data-driven actionable insights and developing advanced analytics capabilities, forecasts, and attribution models that will inform the growth and marketing strategy initiatives and drive key business results. The Senior Analyst will act as a subject matter expert within their domain and assist the Analytics Principal in delivering high value analytics products. The ideal candidate possesses a strategic mindset, a balance of analytical, technical and communication skills and is relentlessly curious about how we can create long term value for our customers and the business.
Responsibilities
Performance Marketing insights - 60%
Support a team of specialists in paid media marketing with all of their monitoring and reporting needs to enable autonomous and rigorous data-driven decision making. Create high impact visualisations (e.g. Tableau dashboards, presentations), converting analysis and insights into key narratives adapted to any targeted audience from specialists to executives. Apply advanced statistical techniques and causal inference methods to conduct experimentation in close partnership with stakeholders and make recommendations based on findings. Automate measurement and analysis at channel, market and offer level to increase efficiency of insights utilization across the department. Analyse the digital customer journey across marketing channels to identify new growth areas by evaluating their efficiency and potential for scaling. Establish a deep understanding of the business, its data, and patterns to become a key thought partner to business units. Stay abreast of digital landscape transformation (e.g. cookies, privacy regulations) to integrate best practices into team norms and ways of working. Design & Development - 40%
Develop and implement improvements to the tools and platforms in place, resulting in efficient autonomous decision making. Oversee operationalization of analytical tooling for all Paid Media teams through rapid prototyping. Transform raw data into scalable, trustable, performant data models that will flow to the central data mesh and serve as the source of truth consumed by data analysts and data scientists. Develop predictive models to drive optimisation and improvement on the marketing budget decisions. Forecast business performance, analyse deviations from targets and recommend actions based on findings. Build measurement models (i.e. marketing attribution) to optimise marketing budget allocation across paid advertising opportunities Contribute to the business intelligence body of knowledge, including process diagrams and business continuity plans. Stay abreast of emerging tools and technologies to provide informed recommendations around industry best practices. Qualifications
Bachelor's degree in Statistics, Mathematics, Computer Science or a related analytical field A minimum of 5 years experience in analytics with a focus on driving business impact Strong analytical skills, including analysis/modeling, statistics, A/B testing, experimental design and automation Strong SQL/Bigquery skills and intermediate programmatic expertise (preferably Python) Comprehensive knowledge of the ETL process and tools Proficiency with Google Sheets/Excel and Google Slides Experience with visualisation tools like Tableau/Looker Experience with growth marketing platforms and analytics tools for web and app Proficiency in various modeling techniques (e.g. regression models, causal inference, classification, etc) Good understanding of marketing attribution and digital tracking Strong communication skills and business acumen Good command of English and French 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)
