This is a remote role, employees are welcome to work from anywhere in Canada.

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.

Reporting to the Enterprise Data Operations Manager, the Senior Data Analyst is responsible for translating business requirements into technical reporting requirements, helping generate valuable insights, supporting decision making and enabling various projects. The ideal candidate has an analytical mindset and is passionate about business analysis, visualisation and extracting insights from data.

RESPONSIBILITIES

Business Reporting - 50%

• Effectively communicate with business and product teams to capture their reporting needs and design a reporting and dashboarding strategy that meets their current as well as anticipated future data interrogations with an aim to increase the consumer’s autonomy and self-service abilities.

• Build, develop, and maintain reports, dashboards and data automation systems.

• Proactively manage stakeholder expectations, manage escalations and resolve issues in a timely manner.

• Participate in BI platform and BI tools integration projects.

• Migrate SAAS, excel sheets and csv reports to interactive and automated dashboards.

Data analysis - 50%

• Develop deep expertise in business data. Analyse and trace its data lineage from its source, through its transformations, to its final usage in reports.

• Evaluate and improve the data quality and completeness of the data available in the enterprise data lake.

• In collaboration with domain experts, design, document and implement metrics, KPIs and data calculations.

• Develop specification documents to guide the data ingestion, validation, transformation and aggregation processes for new data sources.

• Support data engineers in the implementation of data pipelines and participate in the validation processes.

• Contribute to the data cataloging effort and ensure adherence to data governance processes.

• Collaborate with software/data architects, data engineers, business analysts, data scientists to drive key strategic data initiatives for the improvement of data lake and analytics infrastructure

• Oversee the on-boarding of new team members

• 
  Bachelor’s degree in Engineering, Mathematics, Statistics, or related field

• A minimum of 6 years experience in analytics, business intelligence, data engineering, or a similar role.

• Experience using data visualisation to communicate insights effectively to a variety of stakeholders.

• 6+ years of experience working with SQL and relational database is a MUST

• 3+ years of experience with data visualisation tools (Tableau, AWS QuickSight, etc), one tool is MUST

• Experience with other data manipulation technology an asset

• Strong written and verbal communication skills in French & English

SKILLS

• Strong organizational and time-management skills

• Excellent communication and leadership skills

• Capacity to synthesize and simplify complex information

• Highly analytical and detail oriented

• Creative thinker with excellent problem solving abilities

• Team player with solid interpersonal skills

WORLD CLASS TECHNOLOGY

Technology is at the core of everything we do at SSENSE. Driven by an engineering mindset and a problem-solving attitude, we blend fashion with technology to deliver an unparalleled experience to our customers as we build seamless, custom solutions to deliver the SSENSE offering.

WORLD CLASS TEAM

The SSENSE tech team is responsible for an international headless commerce platform. Working in an agile environment, our squads are made up of experienced innovators in Product Management, QA, Design, DevOps, Software Development, Machine Learning, Data Engineering, and Security. Headquartered in Montreal, our technology organization has been growing at a rate of 2X year-over-year and is doubling once again in 2021 as we expand across Canada, US, and Europe.

WORLD CLASS PLATFORM

The SSENSE platform runs on Amazon Web Services making use of serverless microservices across web, mobile and app. Our event-source architecture already achieves over 10,000 requests / second and growing at an unmatched pace, currently unseen across the industry. Our data-driven culture of innovation empowers every product team across the tech organization to explore building, testing and learning with the latest in Machine Learning techniques. Our automated continuous improvement DevOps model (making use of both blue / green and canary deployments) results in an average of 50 production releases every day.

Read more about us on our SSENSE Tech Blog.