{"id":1114296,"url":"https://alion.io/job/monday-com-senior-marketing-analytics","title":"Senior Marketing Analytics","company":{"id":2215,"name":"monday.com","domain":"monday.com","url":"https://alion.io/company/monday-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":99,"open_postings":13,"ghost_share":0,"stale_share":0,"repost_share":0.077,"time_to_fill_p50_days":40,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Marketing","role_family":"Marketing","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tel Aviv, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":92000,"max_usd":218000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":5512},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AppsFlyer SDK","optional":false},{"name":"Google Ads","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Meta Ads","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-22T12:24:27Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-11-13T03:52:16Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"About the Role\nWe are looking for a Senior Marketing Analyst who acts as a true business partner while mastering complex data structures and technical implementation. In this role, you will bridge the gap between commercial strategy and technical analytics, driving high-impact decisions across our user acquisition channels. You will own our data pipeline logic for performance marketing, partner directly with growth leads, and turn raw channel data into actionable scaling strategies.\nWhat You’ll Do\nPartner directly with marketing and growth teams to translate commercial goals into actionable analytical frameworks and measurement models.\n\nOwn end-to-end analytics for major User Acquisition platforms (Meta/Facebook, Google Ads, TikTok, etc.), optimizing spend, attribution, and channel performance.\n\nDesign, build, and maintain robust marketing data structures, tracking specs, and data models to support scalable reporting.\n\nAnalyze complex user journeys, campaign ROI, and customer lifetime value (LTV) to uncover sustainable growth opportunities.\n\nBuild high-reliability dashboards, attribution models, and predictive frameworks to guide budget allocation.\n\nWhat We’re Looking For\nMarketing Platform Expertise: Deep hands-on experience working directly with data from major UA platforms (Google Ads, Meta Ads Manager, SDKs, MMPs like AppsFlyer/Adjust).\n\nStrong Technical Toolkit: Advanced proficiency in SQL for data extraction/transformation, experience with data warehouses (BigQuery, Snowflake), and visualization tools (Tableau, Looker, PowerBI). 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