[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-experimentation-analytics-manager-ic":3,"similar-experimentation-analytics-manager-ic":42},{"id":4,"slug":5,"title":6,"skills":7,"budget":26,"duration":27,"location":28,"onsitePercent":29,"contractType":30,"foundAt":31,"category":32,"description":36,"rawText":37,"webTitle":38,"webText":39,"language":40,"projectId":27,"sourceUrl":41},13257,"experimentation-analytics-manager-ic","Experimentation Analytics Manager (IC)",[8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25],"Experimentation","Product Analytics","A\u002FB Testing","Hypothesis Testing","Experimental Design","Causal Inference","Amplitude","SQL","Python","R","Snowflake","Databricks","Adobe Analytics","Google Analytics","Tableau","Looker","Omni","Stakeholder Management","$110,000-$130,000 + Bonus",null,"NYC or NJ",60,"permanent","2026-06-16T14:28:44+00:00",{"id":33,"slug":34,"label":35},4,"data_analytics","Data & Analytics","Führende Medien- und Unterhaltungsorganisation sucht einen Experimentation Analytics Lead, um A\u002FB-Testing-Strategie über ein Portfolio von hochfrequentierten digitalen Marken zu treiben. Die Rolle umfasst die Gestaltung und Skalierung von Experimentierungsinitiativen in Zusammenarbeit mit Product, Analytics, Marketing und Engineering Teams.","Experimentation Analytics Manager (IC) Location: NYC or NJ (Hybrid)Work Model: Hybrid (minimum 3 days onsite)Salary: $110,000-$130,000 + BonusThis position is not open for C2C and sponsorship is not available now or in the future. \r\n About the Role \r\nA leading media and entertainment organization is seeking an Experimentation Analytics Lead to drive A\u002FB testing strategy across a portfolio of high-traffic digital brands spanning news, sports, streaming, and entertainment.This role will partner closely with Product, Analytics, Marketing, Editorial, Growth, and Engineering teams to design and scale experimentation initiatives that improve engagement, conversion, and overall digital performance. \r\n Key Responsibilities \r\n\r\nOwn and prioritize the experimentation roadmap across product, growth, and marketing initiatives.Design, execute, and analyze A\u002FB and multivariate tests end-to-end.Translate business questions into measurable hypotheses and experimentation frameworks.Identify trends and actionable insights across multiple concurrent tests.Build scalable experimentation best practices and governance processes.Present findings and recommendations to technical and business stakeholders.\r\n \r\n Qualifications \r\n\r\n5+ years of experience in experimentation, product analytics, or related quantitative fields.Strong understanding of hypothesis testing, experimental design, and causal inference.Hands-on experience with experimentation platforms such as Amplitude or similar tools.Strong SQL skills plus experience with Python or R.Experience with tools such as Snowflake, Databricks, Adobe Analytics, Google Analytics, Tableau, Looker, or Omni.Strong communication and cross-functional stakeholder management skills.\r\n \r\nThis is a highly visible opportunity to help shape experimentation strategy and influence data-driven decision-making across large-scale consumer platforms.\nAnsprechpartner: Alley Williams\nE-Mail: A.Williams@lawrenceharvey.com","Experimentation Analytics Manager","Eine führende Medien- und Unterhaltungsorganisation sucht einen erfahrenen Experimentation Analytics Manager zur Leitung der A\u002FB-Testing-Strategie. Sie werden ein Portfolio von hochfrequentierten digitalen Marken betreuen, die News, Sports, Streaming und Entertainment umfassen.\n\nIn dieser Rolle arbeiten Sie eng mit den Teams für Produkt, Analytics, Marketing, Redaktion, Growth und Engineering zusammen, um Experimentierungsinitiativen zu entwerfen und zu skalieren, die Engagement, Conversion und digitale Leistung verbessern.\n\nIhre Hauptaufgaben umfassen die Verwaltung und Priorisierung der Experimentierungs-Roadmap, die Konzeption und Durchführung von A\u002FB- und multivariaten Tests sowie deren umfassende Analyse. Sie übersetzen geschäftliche Fragen in messbare Hypothesen und Experimentierungsrahmen, identifizieren Trends und umsetzbare Erkenntnisse aus mehreren gleichzeitigen Tests und entwickeln skalierbare Best Practices sowie Governance-Prozesse. Darüber hinaus präsentieren Sie Ihre Erkenntnisse und Empfehlungen sowohl technischen als auch geschäftlichen Stakeholdern.\n\nWir suchen Kandidaten mit mindestens 5 Jahren Erfahrung in Experimentation, Product Analytics oder verwandten quantitativen Bereichen. Sie sollten ein starkes Verständnis von Hypothesentests, experimentellem Design und kausaler Inferenz mitbringen sowie praktische Erfahrung mit Experimentierungsplattformen haben. Profunde SQL-Kenntnisse und Erfahrung mit Python oder R sind erforderlich. Vertrautheit mit Tools wie Snowflake, Databricks, Adobe Analytics, Google Analytics, Tableau oder Looker ist von Vorteil. Ausgezeichnete Kommunikations- und Cross-Functional-Stakeholder-Management-Fähigkeiten sind essentiell.\n\nDies ist eine hochsichtbare Gelegenheit, die Experimentierungsstrategie zu prägen und datengesteuerte Entscheidungsfindung auf großen Consumer-Plattformen zu beeinflussen.","en","https:\u002F\u002Fwww.lawrenceharvey.com\u002Fde\u002Fjobs\u002F323807managerexperimentation",{"items":43},[44,60,77,94,105,116,143,161,175,190,209,220,232,242,258],{"id":45,"slug":46,"title":47,"skills":48,"budget":27,"duration":55,"location":27,"onsitePercent":56,"contractType":57,"foundAt":58,"category":59},13235,"senior-data-engineer-mwd-databricks-spark-gcp-unity-catalog","Senior Data Engineer (m\u002Fw\u002Fd) Databricks \u002F Spark \u002F GCP \u002F Unity Catalog",[19,49,50,51,52,53,54],"Apache Spark","Google Cloud Platform (GCP)","Apache Airflow","PySpark","Unity Catalog","Englisch","6 Monate+",0,"contracting","2026-06-16T14:05:46+00:00",{"id":33,"slug":34,"label":35},{"id":61,"slug":62,"title":63,"skills":64,"budget":27,"duration":73,"location":74,"onsitePercent":56,"contractType":57,"foundAt":75,"category":76},13044,"businessanalyst-datenpflege-tarif-verbunddaten-mwd-oepnv-pkm-umfeld-100-remote","Businessanalyst Datenpflege – Tarif- & Verbunddaten (m\u002Fw\u002Fd) ÖPNV \u002F PKM-Umfeld 100% remote",[65,66,67,68,69,25,70,71,72],"Businessanalyse","Datenpflege","Tarifdatenmodelle","Verbunddaten","Jira","Anforderungsanalyse","Dokumentation","ÖPNV-Kenntnisse","6 Monate","Frankfurt","2026-06-16T02:06:37+00:00",{"id":33,"slug":34,"label":35},{"id":78,"slug":79,"title":80,"skills":81,"budget":27,"duration":27,"location":27,"onsitePercent":27,"contractType":30,"foundAt":92,"category":93},13028,"analyst-or-sr-analyst-measurement-data-analytics","Analyst or Sr Analyst - Measurement Data Analytics",[15,82,83,84,85,86,87,88,89,90,91],"Big Data","Media Analytics","Measurement Data","Digital Audience Measurement","Linear Audience Measurement","Reporting Tools","Excel","BI Tools","Data Quality","Stakeholder Communication","2026-06-15T20:16:16+00:00",{"id":33,"slug":34,"label":35},{"id":95,"slug":96,"title":97,"skills":98,"budget":26,"duration":27,"location":102,"onsitePercent":29,"contractType":30,"foundAt":103,"category":104},13011,"product-analytics-manager-streaming-ticketing-hybrid-universal-city-ca","Product Analytics Manager | Streaming & Ticketing | Hybrid (Universal City, CA)",[9,20,15,19,18,99,22,23,10,100,101],"Redshift","Data Visualization","Subscription Models","Universal City, CA","2026-06-15T15:41:11+00:00",{"id":33,"slug":34,"label":35},{"id":106,"slug":107,"title":108,"skills":109,"budget":27,"duration":113,"location":27,"onsitePercent":56,"contractType":57,"foundAt":114,"category":115},12937,"data-analyst-mfd-digital-product","Data Analyst (m\u002Ff\u002Fd) Digital Product",[14,110,10,15,18,111,112],"Tracking Best Practices","dbt","English","6 months+","2026-06-15T13:20:33+00:00",{"id":33,"slug":34,"label":35},{"id":117,"slug":118,"title":119,"skills":120,"budget":27,"duration":138,"location":139,"onsitePercent":140,"contractType":57,"foundAt":141,"category":142},12920,"data-engineer-aws-ki-genai-mwd-95-remote","Data Engineer (AWS, KI, GenAI) (m\u002Fw\u002Fd) 95% remote",[121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137],"AWS","CI\u002FCD Pipelines","AWS CDK","GitOps","Infrastructure as Code","AWS CloudFormation","Terraform","GenAI","RAG","Lake Formation","Glue","EC2","S3","CloudFront","Prompt Engineering","Responsible AI","Datenschutz","29.06.2026 – 31.12.2026","Frankfurt am Main",5,"2026-06-15T12:10:58+00:00",{"id":33,"slug":34,"label":35},{"id":144,"slug":145,"title":146,"skills":147,"budget":27,"duration":156,"location":157,"onsitePercent":158,"contractType":57,"foundAt":159,"category":160},12917,"senior-business-analyst-mit-data-bricks-know-how","Senior Business Analyst mit Data Bricks Know-how",[148,149,150,151,152,153,70,154,155],"Business Analysis","Data Bricks","Power BI","BI-Strategie","Datenmodellierung","ETL\u002FELT-Prozesse","Englisch C1","Deutsch B2","08.2026 - 31.12.2026","Hamburg",50,"2026-06-15T11:55:49+00:00",{"id":33,"slug":34,"label":35},{"id":162,"slug":163,"title":164,"skills":165,"budget":27,"duration":171,"location":172,"onsitePercent":29,"contractType":57,"foundAt":173,"category":174},12911,"ms-sql-spezialist-sql-server-datenbanken-performance-tuning-mwd","MS SQL Spezialist (SQL Server, Datenbanken, Performance Tuning) (m\u002Fw\u002Fd)",[166,15,167,168,152,169,170],"Microsoft SQL Server","Datenbanken","Performance Tuning","Datenbankbetrieb","Azure SQL","12 Monate + Option","Basel","2026-06-15T11:40:56+00:00",{"id":33,"slug":34,"label":35},{"id":176,"slug":177,"title":178,"skills":179,"budget":27,"duration":185,"location":186,"onsitePercent":187,"contractType":57,"foundAt":188,"category":189},12908,"etl-entwickler-data-warehousing-mwd-ssis-ms-sql-server","ETL Entwickler Data Warehousing (m\u002Fw\u002Fd) – SSIS \u002F MS SQL Server",[180,181,166,182,15,152,183,184],"ETL Entwicklung","Data Warehousing","SSIS","Datenintegration","Datentransformation","01.07.2026 - 31.12.2026","Bern",100,"2026-06-15T11:36:07+00:00",{"id":33,"slug":34,"label":35},{"id":191,"slug":192,"title":193,"skills":194,"budget":27,"duration":206,"location":157,"onsitePercent":27,"contractType":57,"foundAt":207,"category":208},12887,"senior-data-engineer-mit-schwerpunkt-data-bricks","Senior Data Engineer mit Schwerpunkt Data Bricks",[19,195,111,196,197,198,199,200,201,202,152,203,204,205],"Azure Data Factory","Data Engineering","Data Platform Engineering","Cloud-Plattformen","Azure","Kafka","Debezium","ETL\u002FELT","Data Streaming Pipelines","Hadoop","DWH","a.s.a.p. bis 31.12.2026","2026-06-15T11:20:47+00:00",{"id":33,"slug":34,"label":35},{"id":210,"slug":211,"title":212,"skills":213,"budget":27,"duration":217,"location":172,"onsitePercent":56,"contractType":57,"foundAt":218,"category":219},12862,"data-engineer-databricks-azure-sql-mwd","Data Engineer (Databricks, Azure, SQL) (m\u002Fw\u002Fd)",[19,214,15,196,202,152,215,216],"Azure Data Services","Data Analytics","Agile Methoden","Nach Vereinbarung, Start August 2026","2026-06-15T10:21:02+00:00",{"id":33,"slug":34,"label":35},{"id":221,"slug":222,"title":223,"skills":224,"budget":27,"duration":229,"location":27,"onsitePercent":56,"contractType":57,"foundAt":230,"category":231},12858,"senior-business-analyst-mwd-3","Senior Business Analyst (m\u002Fw\u002Fd)",[148,225,70,226,152,150,153,227,198,54,228],"BI\u002FData Analytics","BI-Strategieentwicklung","Datenarchitekturen","Deutsch","5 Monate, Start August 2026","2026-06-15T10:10:57+00:00",{"id":33,"slug":34,"label":35},{"id":233,"slug":234,"title":235,"skills":236,"budget":27,"duration":239,"location":27,"onsitePercent":56,"contractType":57,"foundAt":240,"category":241},12855,"senior-data-engineer-mwd-2","Senior Data Engineer (m\u002Fw\u002Fd)",[196,111,19,195,237,152,202,203,238,201,54,228],"Microsoft Azure","Apache Kafka","6 Monate ++","2026-06-15T09:52:02+00:00",{"id":33,"slug":34,"label":35},{"id":243,"slug":244,"title":245,"skills":246,"budget":27,"duration":27,"location":255,"onsitePercent":158,"contractType":57,"foundAt":256,"category":257},12846,"salesforce-data-analyst-mwd","Salesforce Data Analyst (m\u002Fw\u002Fd)",[247,248,249,250,251,252,69,253,254],"Salesforce","Business Intelligence","Datenanalyse","Dashboards","SAP","Scrum","Berichten","Präsentation","Gummersbach","2026-06-15T09:26:29+00:00",{"id":33,"slug":34,"label":35},{"id":259,"slug":260,"title":261,"skills":262,"budget":27,"duration":271,"location":272,"onsitePercent":27,"contractType":57,"foundAt":273,"category":274},12822,"data-engineer-mwd-6","Data Engineer (m\u002Fw\u002Fd)",[16,263,264,265,266,267,90,268,269,270,112],"Kubernetes","GKE","Airflow","Dagster","Control-M","Observability","Data Mesh","Platform Engineering","3 Monate","Malaga","2026-06-15T08:31:13+00:00",{"id":33,"slug":34,"label":35}]