{"id":4088131,"url":"https://alion.io/job/lululemon-senior-analyst-retail-analytics","title":"Senior Analyst - Retail Analytics","company":{"id":39416,"name":"Lululemon","domain":"lululemon.com","url":"https://alion.io/company/lululemon","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":17,"ghost_share":0,"stale_share":0,"repost_share":0.059,"time_to_fill_p50_days":12,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Vancouver, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":88200,"max":115800,"currency":"CAD","period":"year","gross":null,"usd_annual":81314},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-11T19:28:36Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T19:28:36Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"who we are\nlululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.\nabout this team\nThe Retail Analytics team drives exceptional retail performance through actionable plans, reporting, and insights. The team partners with store, retail operations, finance, workforce planning, and technology leaders to help improve sales, labour productivity, guest experience, and operational effectiveness across the retail network.\ncore responsibilities\nAs a Data Analyst supporting Retail Analytics, you will connect business questions to trusted data, scalable reporting, and practical recommendations. You will combine analytical rigor with strong partnership skills to help retail leaders understand performance, identify opportunities, and make better decisions.\nAnalyze store and retail performance across key business KPIs.\nBuild and maintain clear, scalable dashboards and recurring reporting that enable leaders to monitor performance and act quickly.\nUse SQL to extract, join, validate, and transform data from multiple sources; document definitions and data logic to improve trust and repeatability.\nInvestigate performance drivers, patterns, outliers, and emerging trends, then translate findings into concise recommendations for business partners.\nPartner with Retail Operations and Planning teams to define business questions, success measures, reporting requirements, and analytical approaches.\nSupport tests, pilots, and strategic initiatives by establishing measurement plans, comparing results, and quantifying business impact.\nCreate executive-ready commentary and visualizations that make complex analysis easy to understand for technical and non-technical audiences.\nCollaborate with data engineering, product, and technology teams to identify data quality issues and improve analytics-ready datasets.\nAutomate repeatable workflows and continuously simplify reports and processes to reduce manual effort and increase self-service access.\nqualifications\nBachelor’s degree in BusinessAnalytics, Statistics, Economics, Mathematics, Computer Science, or a related field, or equivalent practical experience. Master’s degree a plus\n4+ years of experience directly related to delivering data analytics\nAdvance data manipulation skills with Excel, SQL, Python and ability to apply appropriate statistical models/algorithms for insight generation\nExperience working with large datasets and translating business logic into reliable, reusable queries.\nExperience developing dashboards and data visualizations in Power BI\nExperience with cloud data platforms such as Snowflake or Databricks.\nAbility to frame ambiguous business questions, choose an appropriate analytical approach, and communicate limitations clearly.\nExcellent written and verbal communication, with a demonstrated ability to turn complex findings into clear conclusions and actions.\nProven ability to manage multiple priorities and collaborate effectively across business and technical teams.\nmust haves\nAcknowledge the presence of choice in every moment and take personal responsibility for your life.\nPossess an entrepreneurial spirit and continuously innovate to achieve great results. \nCommunicate with honesty and kindness and create the space for others to do the same. \nLead with courage, knowing the possibility of greatness is bigger than the fear of failure. \nFoster connection by putting people first and building trusting relationships. \nIntegrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously. \nadditional notes\nAuthorization to work in Canada is required for this role.\ncompensation and benefits package\nlululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $88,200 - $115,800 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.\nAt lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:\nExtended health and dental benefits, and mental health plans \nPaid time off \nSavings and retirement plan matching \nGenerous employee discount \nFitness & yoga classes \nParenthood top-up \nExtensive catalog of development course offerings \nPeople networks, mentorship programs, and leadership series (to name a few) \nNote: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.\n\nworkplace arrangement\nIn-person collaboration and connection isimportant to our culture. Work is performed onsite, minimum 4 days per week.","description_format":"text","description_chars":5817,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity","Retirement plans"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Apparel & Fashion Brands","Sportswear & Activewear"],"lifecycle":[{"event":"open","at":"2026-11-11T19:28:36Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":12,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-11T21:20:23Z"},"pay":{"stated_usd_annual":81314,"is_top_pay":false},"html_url":"https://alion.io/job/lululemon-senior-analyst-retail-analytics","json_url":"https://alion.io/job/lululemon-senior-analyst-retail-analytics.json","meta":{"generated_at":"2026-11-11T21:20:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":41888,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":39416},"rest":"https://alion.io/mcp/rest/get_company?id=39416"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flululemon-senior-analyst-retail-analytics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flululemon-senior-analyst-retail-analytics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flululemon-senior-analyst-retail-analytics"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/lululemon-senior-analyst-retail-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flululemon-senior-analyst-retail-analytics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4088131}},{"tool":"search_jobs","arguments":{"company":"lululemon.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4088131},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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