{"id":3786701,"url":"https://alion.io/job/conde-nast-senior-manager-consumer-analytics","title":"Senior Manager, Consumer Analytics","company":{"id":4704,"name":"Condé Nast","domain":"condenast.com","url":"https://alion.io/company/condenast","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":30,"ghost_share":0,"stale_share":0.867,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-11-06T05:58:05Z"}},"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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":145000,"currency":"USD","period":"year","gross":null,"usd_annual":145000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-04T00:00:00Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T10:55:31Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Condé Nast is one of the world's most renowned media publishing companies, creating and distributing every type of media today, spanning print and digital publishing in all formats. With a portfolio of some of today's most influential brands, the company continues to grow its audience through a global operational and content infrastructure across its 12 owned and operated markets. Headquartered in New York City, the company's owned and operated markets include China, France, Germany, India, Italy, Japan, Mexico & Latin America, Spain, Taiwan, UAE/Dubai, the U.K., and the U.S., with additional local license partners in over twenty additional markets across the globe. Lead brands include Vogue, The New Yorker, GQ, Architectural Digest, Condé Nast Traveler, Vanity Fair, Wired, Allure, Ars Technica, Bon Appétit, House & Garden, Pitchfork, Tatler, and Vogue Business.Job Description\nLocation:\nNew York, NYCondé Nast is seeking a Senior Manager to help evaluate and improve performance across our consumer subscription business. This role will focus on understanding the metrics that drive subscriber acquisition, retention, and economics; identifying the factors behind performance; and translating those findings into clear, actionable recommendations.\nWe are looking for someone with strong business judgment and a proven ability to distinguish the metrics that matter from those that are simply available. The ideal candidate understands how a subscription or other customer acquisition business works, recognizes the relationships among volume, conversion, marketing investment, customer value, and profitability, and can explain what changes in those metrics mean for the business.\nThis is a business-oriented analytics role, not primarily a data engineering or advanced modeling position. The Senior Manager will work closely with analytics and data partners to access and validate the necessary information, while taking ownership of the questions we should be asking, the interpretation of the results, and the implications for business decisions. This position reports to the Vice President of Consumer Analytics.\nPrimary Responsibilities\nBusiness Performance & KPI Analysis\nIdentify and prioritize the key metrics that explain subscription growth and customer acquisition performance across brands and channels.\nAnalyze subscriber orders, conversion, channel mix, acquisition costs, retention, LTV, ARPU, and related economics to understand what is driving results.\nLook beyond headline results to distinguish underlying performance changes from shifts in mix, timing, pricing, promotions, or measurement.\nSpot trends, emerging issues, and opportunities early; develop hypotheses and recommend where deeper investigation is warranted.\nAssess trade-offs among subscriber growth, acquisition efficiency, customer quality, and longer-term value.\nPlanning, Forecasting & Measurement\nSupport acquisition and retention forecasts, annual budgeting, and periodic reforecasting by evaluating the assumptions and performance drivers behind plans.\nPartner with Growth, Paid Marketing, CRM, Site, Brand, Finance, and Operations teams to assess performance against targets and understand the reasons for variances.\nEvaluate campaign, channel, pricing, promotional, and conversion initiatives in terms of incremental customer orders and business impact.\nHelp establish practical KPI definitions and measurement approaches that enable consistent, decision-useful reporting.\nInsights, Communication & Collaboration\nDevelop clear weekly and monthly performance narratives that focus on what changed, why it changed, and what action may be needed.\nTranslate complex analysis into concise findings and recommendations for marketing and business leaders.\nFrame analytical questions, define data requirements, and work with data and technical analytics partners to obtain reliable answers.\nChallenge assumptions constructively and identify when a metric, analysis, or conclusion may be misleading.\nQualifications\n5+ years of experience in growth analytics, marketing analytics, subscription analytics, business performance, or a related field.\nDemonstrated understanding of the economics and operating metrics of a customer acquisition business. \nSubscription experience is strongly preferred.\nProven ability to identify the most important business KPIs, interpret the factors driving their movement, and recommend actions based on the findings.\nStrong working knowledge of conversion rates, customer acquisition cost, lifetime value, retention/churn, revenue per subscriber, and channel performance.\nExperience working with marketing, growth, finance, or commercial teams to translate performance analysis into decisions.\nStrong analytical reasoning and comfort working with data in spreadsheets and business intelligence tools; ability to assess data quality and partner effectively with technical teams.\nExcellent written and verbal communication skills, including the ability to present a focused performance story to senior stakeholders.\nBachelor’s degree in Business, Marketing, Economics, Finance, Analytics, or a related field, or equivalent practical experience.\nTechnical Skills\nHands-on SQL, statistical modeling, Python, or R experience is helpful but not required. The priority is the ability to understand what should be measured, interpret the results correctly, and use them to improve business performance.\nThe expected base salary range for this position is from $130,000-$145,000. Salary offers are based on a wide range of factors including but not limited to relevant skills, training, experience, and education.\nIn addition to salary and a generous employee benefits package, successful candidates may also be eligible to receive discretionary bonus compensation.\nWhat happens next?\nIf you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.\nCondé Nast is an equal opportunity employer. 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