{"id":3028688,"url":"https://alion.io/job/nike-senior-data-analytics-bi-global-converse","title":"Senior Data Analytics & BI, Global Converse","company":{"id":1634,"name":"Nike","domain":"nike.com","url":"https://alion.io/company/nike","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":41,"ghost_share":0,"stale_share":0.951,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":107700,"max":212600,"currency":"USD","period":"year","gross":null,"usd_annual":212600},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"Interpretability","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-21T19:46:25Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-24T23:56:14Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"The annual base salary for this position ranges from $107,700.00 in our lowest geographic market to $212,600.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.Information about benefits can be found here.\nBecome Part of the Converse Team\nConverse is a place to explore potential, break barriers, and push the edges of what can be. We look for people who can grow, think, dream, and create-bringing skills and passion to a constantly evolving world.\nAbout The Team\nThe Data, Analytics & Intelligence (DAI) Team sits at the center of Converse’s data and analytics ecosystem, enabling Supply Chain/Logistics, Planning, Merchandising, Finance, and enterprise business partners to make more informed decisions through trusted data, advanced analytics, and scalable BI capabilities.\nWe are modernizing Converse’s Data Foundation while strengthening the analytical capabilities needed to move from reporting to decision-ready insights at scale. The team partners cross-functionally to improve data quality, align metrics and definitions, and deliver analytics solutions that help leaders understand performance, identify risks and opportunities, and act with greater speed and confidence.\nThe Role\nThe Senior, Data Analytics & BI, Global Converse is a Boston-based role responsible for delivering advanced analytics capabilities primarily supporting Supply Chain & Logistics, with additional partnership across Planning, Merchandising, Finance, and other enterprise functions.\nThis role blends business context, technical execution, and analytical expertise to develop forecasting, optimization, and scalable analytical products. The role will leverage SQL, Python, machine learning, and modern analytics platforms to solve complex business questions across the enterprise.\nIn addition to developing analytics products, this role helps advance data literacy and strengthen the data science community within Converse, raising the bar for how analytics, forecasting, and AI-enabled methods are applied across the organization.\nWhat You’ll Do\nDevelop, maintain, and evolve analytics products and capabilities that improve operational and strategic decision-making.\nDevelop and evolve decision-ready dashboards, KPI frameworks, and self-service analytics products that enable Supply Chain & Logistics partners to monitor performance, investigate drivers, and take action.\nAccess, analyze, and model Converse data using SQL, Python, and related analytical tools to generate actionable business insights. \nTranslate complex or ambiguous business questions into structured, scalable analytics solutions that primarily support Supply Chain & Logistics, while also enabling Planning, Merchandising, Finance, and enterprise leadership needs.\nBuild forward-looking analyses that identify trends, risks, opportunities, and potential business impacts across demand, inventory availability and productivity, order fulfillment, delivery performance, product, channel, and financial performance.\nCreate reusable analytical workflows, models, and data products that improve speed, automation, consistency, and scalability of insight generation. \nPartner with business stakeholders to translate analytical outputs into clear, executive-ready recommendations that support growth, profitability, inventory productivity, and consumer outcomes. \nImprove data quality, accessibility, governance, and usability across the modern data stack, including the development and adoption of consistent KPI definitions and reusable semantic models.\nContribute hands-on across querying, data transformation, feature engineering, statistical modeling, machine learning, and advanced analytics workflows.\nAdvance data literacy and foster a stronger data science community within Converse through partnership, knowledge sharing, and practical application of modern analytical methods. \nExplore and apply emerging AI capabilities where they can responsibly accelerate analysis, improve signal quality, or scale decision support. \nRole Requirements\nStrong technical foundation in data manipulation, statistical modeling, forecasting, optimization, and large-scale data analysis. \nSignificant experience applying advanced analytical methods such as regression analysis, time-series modeling, cohort analysis, machine learning, or optimization techniques. \nAbility to design, evaluate, and explain models that surface patterns, forecast outcomes, quantify risk, and identify business opportunities. \nProficiency in SQL and Python, with experience building reusable analytical workflows and scalable solutions that move beyond one-off analysis. \nExperience working with imperfect or incomplete data and building structured approaches to improve signal quality, reliability, and interpretability. \nAbility to frame ambiguous business problems into analytically tractable approaches and communicate assumptions, tradeoffs, and implications clearly. \nStrong communication skills, with the ability to translate technical methodologies and results into clear recommendations for non-technical stakeholders. \nExperience partnering cross-functionally and balancing priorities across multiple stakeholder groups in a dynamic business environment. \nCurious, adaptable, and creative problem-solving mindset with strong attention to detail and accountability for delivery. \nQualifications\n5+ years of experience in advanced analytics, data science, business analytics, BI, or related technical roles; retail, consumer, or planning experience preferred. \nPreferred, but not required - Experience applying analytics within Supply Chain, Logistics, inventory management, order management, fulfillment, or related retail operations.\nProficient in Python development, including pandas, scikit-learn, statistical modeling, forecasting, and optimization techniques. \nAdvanced SQL skills, including complex querying, data transformation, analytical modeling, and exposure to data engineering concepts. \nFamiliarity with cloud analytics environments and modern data platforms (including Databricks and Snowflake).\nPractical experience applying AI/ML methods, particularly forecasting, predictive modeling, and optimization; exposure to Generative AI, LLM-based workflows, agentic systems, or Retrieval-Augmented Generation is a plus.\nExperience rapidly prototyping analytical solutions and scaling successful approaches into repeatable products or production-ready outputs. \nAdvanced understanding of BI and visualization tools; Sigma preferred, Tableau or comparable platforms acceptable. \nDemonstrated ability to turn structured and unstructured data into actionable insights that influence business decisions. \nExperience owning complex projects from problem framing through delivery, adoption, and continuous improvement. \nSolid understanding of planning concepts such as demand, inventory, seasonality, performance management, and business forecasting a plus. \nBachelor’s degree in Business, Analytics, or related field. Will accept any suitable combination of education, experience and training\nWe offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.\nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.","description_format":"text","description_chars":7766,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Footwear","Sporting Goods","Sportswear & Activewear"],"lifecycle":[{"event":"open","at":"2026-10-21T19:46:25Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 220 · green card filings: 201","filings_12m":220,"filings_prev_12m":373,"green_card_filings_12m":201,"median_offered_wage_usd":162441,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":17}],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.617,"p_room":1,"age_days":4,"expected_fill_days":14,"reasons":["conf:30","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":{"stated_usd_annual":212600,"is_top_pay":true},"html_url":"https://alion.io/job/nike-senior-data-analytics-bi-global-converse","json_url":"https://alion.io/job/nike-senior-data-analytics-bi-global-converse.json","meta":{"generated_at":"2026-10-26T06:20:31Z","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":8479,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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":1634},"rest":"https://alion.io/mcp/rest/get_company?id=1634"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnike-senior-data-analytics-bi-global-converse"},{"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%2Fnike-senior-data-analytics-bi-global-converse"},{"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%2Fnike-senior-data-analytics-bi-global-converse"},{"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/nike-senior-data-analytics-bi-global-converse\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnike-senior-data-analytics-bi-global-converse"}]}