{"id":2798906,"url":"https://alion.io/job/lululemon-fulfillment-analytics-analyst","title":"Fulfillment Analytics Analyst","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":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":15000,"max":30000,"currency":"CNY","period":"month","gross":null,"usd_annual":53880},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-14T04:38:01Z","employer_posted_date":null,"last_verified_at":"2026-10-14T04:38:01Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"who we are \n\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. \n\nabout this team \n\nThe core mandate of the Fulfillment Analytics team is to solve global fulfillment business problems and support management of business performance using data science methods, including statistical, machine learning, and other advanced analytics techniques. The team is critical in enabling disciplined management of service, cost performance, and optimization initiatives across fulfillment functions (Inbound Logistics, Trade Compliance, Distribution, Outbound Logistics) globally, through design and development of reporting and analytics, deployment of key management routines utilizing reporting, and driving key decision analysis for supply chain through data science.\n\ncore responsibilities \n\n• Monitor and maintain the quality, accuracy, and reliability of fulfillment dashboards and reporting, proactively identifying, troubleshooting, and resolving data issues to ensure continuity \n\n• Optimize existing data flow and partner closely with Technology to develop innovative data integration solutions to improve operational efficiency \n\n• Design and build easy-to-interpret reports, dashboards and visualizations of key performance indicators (KPIs) and diagnostics to measure performance against Fulfillment business goals \n\n• Partner cross-functionally with fulfillment functions to turn data into actionable business insights, driving operational excellence and improvements through analytics-driven recommendations \n\n• Apply best practices in business metrics, data visualization and executive reporting concepts and layouts in existing and future reporting\n\nqualifications \n\n• 5+ years' experience as a Data Analyst; ideally within the Supply Chain or related industry \n\n• Experienced with data visualization, particularly in Power BI, and knowledge of best practices in reporting structure \n\n• Strong familiarity with the functioning of the flows, architecture, and optimal structure of data: competence to acquire data needed to drive results \n\n• Proficient in applying data analytics to optimizing business results \n\n• Strong communication skills and ability to work remotely with initiative \n\n• Highly proficient in Microsoft applications, including Excel, Power BI, Access, PowerPoint, Forms and Word \n\n• Proficiency in SQL, VBA, C++, DAX; 2+ years' experience creating executive-level data visualization reports in Power BI\n\nmust haves \n\n ● \n\nAcknowledge the presence of choice in every moment and take personal responsibility for your life. \n\n ● \n\nPossess an entrepreneurial spirit and continuously innovate to achieve great results.  \n\n ● \n\nCommunicate with honesty and kindness and create the space for others to do the same.  \n\n ● \n\nLead with courage, knowing the possibility of greatness is bigger than the fear of failure.  \n\n ● \n\nFoster connection by putting people first and building trusting relationships.  \n\n ● \n\nIntegrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously.  \n\nadditional notes \n\nAuthorization to work in China is required for this role. \n\ncompensation and benefits package  \n\nlululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. 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.    \n\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: \n\n ● \n\nExtended health and dental benefits, and mental health plans  \n\n ● \n\nPaid time off  \n\n ● \n\nSavings and retirement plan matching  \n\n ● \n\nGenerous employee discount  \n\n ● \n\nFitness & yoga classes  \n\n ● \n\nParenthood top-up  \n\n ● \n\nExtensive catalog of development course offerings  \n\n ● \n\nPeople networks, mentorship programs, and leadership series (to name a few)  \n\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 \n\nThis role is classified as In-Person under our SSC Workplace Policy:   \n\nIn-person collaboration and/or office-based work is necessary or important for the role. Work is mainly performed onsite, 4-5 days per week depending on role requirements.  ","description_format":"text","description_chars":5457,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Retirement plans"],"hiring_locations":[{"name":"China","iso":"CN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Apparel & Fashion Brands","Sportswear & Activewear"],"lifecycle":[{"event":"open","at":"2026-10-18T01:43:55Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.263,"p_room":0.35,"age_days":4,"expected_fill_days":2,"reasons":["seen:4","win:tail","comp:brand"],"computed_at":"2026-10-19T01:27:57Z"},"pay":{"stated_usd_annual":53880,"is_top_pay":false},"html_url":"https://alion.io/job/lululemon-fulfillment-analytics-analyst","json_url":"https://alion.io/job/lululemon-fulfillment-analytics-analyst.json","meta":{"generated_at":"2026-10-19T01:27:57Z","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":816,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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-fulfillment-analytics-analyst"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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-fulfillment-analytics-analyst"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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-fulfillment-analytics-analyst"},{"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-fulfillment-analytics-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flululemon-fulfillment-analytics-analyst"}]}