{"id":804034,"url":"https://alion.io/job/readymag-product-analyst","title":"Product Analyst","company":{"id":705228,"name":"Readymag","domain":"readymag.com","url":"https://alion.io/company/readymag","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":{"label":"UTC+1","utc_offset_min":1,"utc_offset_max":1},"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CZ","DK","FI","HU","IE","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":31,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":165000,"period":"year","method":"global_role_seniority_cell","sample_n":1708},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"BigQuery","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-04T13:21:03Z","employer_posted_date":null,"last_verified_at":"2026-09-04T13:21:03Z","board_verified":false,"closed_at":null,"days_open":24,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":24},"description":"We're looking for a senior product analyst to join our growing analytics team. You'll own product analytics end-to-end-from instrumentation and data quality to experimentation, funnels, and retention-and be a genuine strategic partner to product and growth teams. You'll work closely with another analyst and data engineers, bring structure to how we measure product decisions, and actively help build a strong data culture across the company.\nYou'll be expected to form hypotheses, challenge assumptions, and define what success looks like for the things we ship.\nThis is a fully remote collaboration under a service agreement. We work primarily within the GMT+1 time zone and expect a regular overlap of business hours on weekdays to allow for meetings and live collaboration.\nWho we are\nReadymag is a design tool for creating websites, landing pages, portfolios, magazines, editorials, and presentations.\n\nWe're a fully distributed team with a strong international user community and client-oriented service. We value a culture of questions and curiosity with a 'measure what can be measured' approach.\n\nWhat you'll do\nOwn product analytics infrastructure in Amplitude and BigQuery: maintain data consistency, quality, and coverage, and use it yourself as a primary tool for discovery, not just as a reporting layer;\n\nThink in funnels, retention, cohorts, and activation. Spot anomalies in onboarding and in-product behavior, form hypotheses, and drive investigations through to clear conclusions;\n\nDesign and run A/B tests end-to-end: framing the question, calculating sample sizes, monitoring, and interpreting results with statistical rigor;\n\nWrite SQL in BigQuery to explore data, validate quality, and answer complex ad-hoc questions;\n\nBuild dashboards and reports, and actively use them in your own work to surface findings, generate hypotheses, and share insights with the team proactively;\n\nTranslate findings into clear, actionable conclusions for product and growth teams;\n\nWork closely with a second analyst, developers, and data engineers to keep tracking consistent across the funnel, and define instrumentation requirements when gaps appear;\n\nHelp shape the analytics infrastructure as we migrate from Amplitude toward a full data warehouse setup.\n\nWhat we expect\n5+ years of relevant experience, with a track record of influencing product decisions;\n\nStrong SQL: comfortable with complex queries, joins, aggregations, and window functions;\n\nPython: comfortable writing scripts for data processing, visualization, and statistical analysis for A/B tests and research;\n\nExperience with product analytics tools, such as Amplitude, Tableau, Looker, or similar;\n\nSolid understanding of the full user funnel for the web products: acquisition, activation, retention, as well as in-product behavior;\n\nBasic data engineering literacy: how tracking is set up, where data comes from, and how to manage uncovered zones;\n\nAbility to define and articulate requirements for developers or data engineers when enhancements to tracking or additional data acquisition are needed;\n\nEnglish at a B2+ level.\n\nWould be a plus\nExperience with BigQuery;\n\nYou've built or significantly improved an analytics setup from scratch;\n\nStatistics background or hands-on experimentation experience;\n\nExperience building custom dashboards and conducting research from scratch.\n\nWhat happens next\nRemote work with a flexible schedule;\n\n28 weekdays of paid annual leave;\n\nAccess to a corporate laptop;\n\nCompensation for coworking space fees;\n\nLanguage courses;\n\nCompensation for sports or other physical activities;\n\nA learning budget to invest in courses, books, or conferences;\n\nThe freedom to think beyond established patterns","description_format":"text","description_chars":3709,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Annual leave","Flexible schedule"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"region"},{"name":"France","iso":"FR","kind":"region"},{"name":"United 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