{"id":1109976,"url":"https://alion.io/job/amar-bank-customer-data-marketing-analytics","title":"Senior Marketing Data (Customer Data & Marketing Analytics)","company":{"id":4122,"name":"Amar Bank","domain":"amarbank.co.id","url":"https://alion.io/company/amar-bank","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":77,"open_postings":36,"ghost_share":0.306,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":74,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Marketing","role_family":"Marketing","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":["Jakarta, Indonesia"],"countries":["ID"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":34000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":5512},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Google Ads","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Sheets","optional":false},{"name":"Looker","optional":false},{"name":"Meta Ads","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AppsFlyer SDK","optional":true}],"status":"live","first_seen_at":"2026-09-22T08:05:48Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-11-13T01:57:03Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":51},"description":"Responsibilities:\nDriving customer data strategy, lifecycle analytics, BI dashboarding, and end-to-end funnel optimization to fuel growth and retention.\nArchitect, scale, and maintain the enterprise digital MarTech stack (CDPs, Server-Side GTM, AppsFlyer/MMPs, Tag Management, and Webhooks) across all app, web, and paid channels.\nDesign and deploy automated data pipelines merging high-volume digital ad data (cost, impressions, clicks) with downstream business databases (Telesales CRM, CRP retention databases, and Affiliate portals).\nEnforce robust tracking standards-including first-party cookies, dynamic UTM taxonomies, event-naming conventions, and fraud-prevention protocols-across internal campaigns, affiliates, and external agencies.\nEliminate manual reporting workflows by engineering centralized data models within cloud warehouses (BigQuery, Snowflake), serving as the single source of truth for marketing operations.\nBuild and maintain automated, real-time BI dashboards (Looker, Tableau, Power BI) tracking end-to-end funnel metrics-from ad impression to Telesales conversion, CRP repeat loan/purchase, and Affiliate payout.\nDevelop multi-touch attribution (MTA) and incrementality frameworks to measure true digital ROI, monitor affiliate traffic quality, and accelerate digital-lead-to-telesales conversion speed.\nAnalyze digital user journeys to identify drop-off points across all placements, providing technical optimization insights that reduce CAC and improve overall funnel conversion. \nRequirements:\nEducation: Bachelor's or Master's degree in Computer Science, Data Analytics, Information Systems, Statistics, or a related quantitative field.\nExperience: 6+ 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