{"id":1279039,"url":"https://alion.io/job/databeat-adobe-analytics-implementation-specialist","title":"Adobe Analytics Implementation Specialist","company":{"id":3806738,"name":"DataBeat","domain":"databeat.io","url":"https://alion.io/company/databeat","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11000,"max_usd":28000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":937},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"JavaScript","optional":false},{"name":"BigQuery","optional":true},{"name":"Charles Proxy","optional":true},{"name":"Google BigQuery","optional":true},{"name":"ISO 27001","optional":true},{"name":"Looker","optional":true},{"name":"Node JS","optional":true},{"name":"PHP","optional":true},{"name":"Python","optional":true},{"name":"WordPress","optional":true}],"status":"live","first_seen_at":"2025-12-18T11:10:59Z","employer_posted_date":"2025-12-18","last_verified_at":"2026-09-26T07:58:58Z","board_verified":false,"closed_at":null,"days_open":284,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":283},"description":"Role overview\nThe Adobe Analytics Implementation Specialist will be responsible for hands-on instrumentation, implementation, and data quality across a large portfolio of web, mobile, and CTV/OTT products, working closely with the Senior Director of Analytics and cross-functional stakeholders. The role focuses on turning analytics architecture and measurement strategy into robust, scalable tracking that powers revenue analytics,audience insights, and streaming/media measurement at scale.\nCore responsibilities\nTranslate measurement frameworks and solution designs from the Senior Director of Analytics into detailed tracking requirements, data layer specifications, and implementation plans across news sites, mobile apps, and CTV/OTT platforms.\nConfigure and maintain Adobe Analytics implementations, including report suites, eVars, props, events, classifications, processing rules, and streaming media tracking for web, mobile, and CTV/OTT environments.\nImplement and maintain Adobe Launch tagging for websites and apps, including rules, data elements, extensions, and custom JavaScript where needed to support advanced use cases and integrations.\nImplement, maintain, and troubleshoot heartbeat-based media tracking for video and audio experiences, ensuring accurate measurement of starts, quartiles, completion, and time spent across platforms.\nSupport and extend the existing cross-channel data schema and data layer strategy, ensuring consistent event and context data structures that work across web, iOS/Android apps, and CTV/OTT platforms such as Roku, Apple TV, and Fire TV.\nAssist with the integration and validation of third-party measurement tools (e.g., Nielsen, Comscore, ad servers, SSPs) into the analytics implementation, ensuring harmonized IDs and taxonomies where data is imported into analytics or downstream systems.\nCollaborate with engineering, product, ad ops, and editorial teams to ensure new features, templates, and ad experiences are properly instrumented for both audience and revenue analysis.\nConduct rigorous QA of data collection in lower and production environments using network debuggers, logging, and analytics validation tools; raise issues, propose fixes, and verify resolutions.\nImplement and maintain efficient, scalable monitoring and tracking scripts for user behavior and interactions.\nImplement, integrate, and optimize third-party analytics frameworks and tools within our analytics architecture.\nPerform extensive testing and validation of analytics implementations across multiple tools, parameters, environments, and configurations.\nMonitor ongoing data quality, identify anomalies, and work with data engineering and operations teams where necessary to reconcile front-end tracking with backend data pipelines and data warehouse views.\nContribute implementation details for documentation, runbooks, and technical specifications to keep architecture, schemas, and tag configurations transparent and maintainable.\nProvide second-line support to business and analytics stakeholders by validating that KPIs, dashboards, and revenue analytics views are correctly populated by the underlying implementation.\nParticipate in agile ceremonies as the “owner” of analytics tracking tasks, ensuring that measurement requirements are captured in tickets, prioritized, and delivered.\nRequired experience and skills\n3-6 years of hands-on digital analytics implementation experience, with at least\n2-3 years working deeply with Adobe Analytics and Adobe Launch in production environments.\nDirect experience implementing and supporting heartbeat-based media tracking (e.g., for streaming/long-form video), including debugging beacons and validating media analytics against expected behavior.\nStrong practical experience implementing analytics across multiple digital surfaces (web, mobile apps; CTV/OTT exposure is a strong plus), preferably in high-traffic media, publishing, or streaming contexts.\nProficiency with JavaScript and front-end development concepts, including DOM events, SPA routing, and use of browser developer tools and network inspectors for debugging.\nDemonstrated experience working with standardized data layers / event schemas used across many properties, including mapping business requirements to variables, events, and context data.\nExperience integrating and validating third-party measurement and ad-tech tools, including audience measurement, ad recovery, retail media, and monetization platforms.\nWorking knowledge of server-side and client-side request inspection tools (e.g., proxy tools, request logging, payload analysis) to diagnose tracking and data transmission issues.\nFamiliarity with integrating web analytics with advertising and revenue data, such as importing ad impressions, revenue, and yield metrics into analytics tools for page-level or content-level performance analysis.\nFamiliarity with mapping or reconciling GA and Adobe Analytics data models, including differences in events, sessions, and attribution logic.\nExperience supporting parallel or comparative analytics implementations across Adobe Analytics and Google Analytics environments.\nExperience working within modern tag management practices, CI/CD processes, and agile development environments alongside engineers, QA, and product owners.\nAbility to read and contribute to implementation documentation and architectur diagrams, and to clearly communicate technical trade-offs and limitations to both technical and non-technical stakeholders.\nStrong analytical mindset and attention to detail, with a focus on data accuracy, reproducibility, and maintainability.\nPreferred / nice-to-have\nExperience working with Chartbeat and Comscore for audience and engagement measurement, and understanding how their signals relate to web and streaming analytics.\nExperience with content management systems and front-end stacks commonly used in media, such as Adobe Experience Manager and WordPress.\nFamiliarity with Looker (or similar BI tools) as a consumer of analytics data, including how implementation choices impact downstream reporting models and dashboards.\nExperience working with BigQuery or similar data warehouses and familiarity with how front-end event data flows into downstream BI or modeling environments.\nHands-on experience using analytics validation and debugging tools such as Adobe Experience Platform Debugger, Charles Proxy, browser developer tools, and network inspection utilities to verify data accuracy and troubleshoot issues.\nExperience using automation or scripting tools (e.g., Python, Node.js) to support testing, validation, scraping, or analytics verification workflows.\nExposure to Segment or similar event collection frameworks, including mapping events from those systems into Adobe Experience Platform and Adobe Analytics.\nBackground in news, broadcast, or digital media organizations where audience, engagement, and advertising KPIs are central to the business.\nShift Timings: US- Shift\nInformation Security & ISO 27001 Compliance\nSecurity is at the heart of everything we do. In this role, you will be strictly required to uphold our Information Security Management System (ISMS) policies in alignment with ISO/IEC 27001 standards. Responsibilities include safeguarding sensitive asset data, completing mandatory security awareness training, reporting potential security incidents or vulnerabilities immediately, and ensuring that daily operations comply with our rigorous data protection protocols.","description_format":"text","description_chars":7478,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketing Analytics & Attribution","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-09-26T02:29:56Z"}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.259,"p_room":0.28,"age_days":283,"expected_fill_days":26,"reasons":["conf:45","velocity","win:tail","crowd:"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/databeat-adobe-analytics-implementation-specialist","json_url":"https://alion.io/job/databeat-adobe-analytics-implementation-specialist.json","meta":{"generated_at":"2026-09-29T01:26:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1051,"day_limit":5000,"remaining_today":3949,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}