[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-analyst-or-sr-analyst-measurement-data-analytics":3,"similar-analyst-or-sr-analyst-measurement-data-analytics":32},{"id":4,"slug":5,"title":6,"skills":7,"budget":19,"duration":19,"location":19,"onsitePercent":19,"contractType":20,"foundAt":21,"category":22,"description":26,"rawText":27,"webTitle":28,"webText":29,"language":30,"projectId":19,"sourceUrl":31},13028,"analyst-or-sr-analyst-measurement-data-analytics","Analyst or Sr Analyst - Measurement Data Analytics",[8,9,10,11,12,13,14,15,16,17,18],"SQL","Big Data","Media Analytics","Measurement Data","Digital Audience Measurement","Linear Audience Measurement","Reporting Tools","Excel","BI Tools","Data Quality","Stakeholder Communication",null,"permanent","2026-06-15T20:16:16+00:00",{"id":23,"slug":24,"label":25},4,"data_analytics","Data & Analytics","Suche nach Analyst oder Senior Analyst für Measurement Data Analytics in einer Media- und Digital-Organisation. Die Rolle umfasst die Arbeit mit großen Datensätzen, Reporting, Metrikentwicklung und Interpretation von Third-Party-Messdaten. Zusammenarbeit mit internen Teams und externen Anbietern zur Sicherung von Datenqualität und Ableitung von Geschäftserkenntnissen.","Analyst or Sr Analyst - Measurement Data Analytics Opportunity I’m searching for an Analyst or Sr Analyst, Measurement Data to work for a media and digital organization focused on audience intelligence and cross-platform performance insights. This team sits within a centralized analytics group responsible for understanding how content, advertising, and audience behavior are measured across linear, streaming, and digital platforms. In this role, you would work hands-on with large-scale datasets, support reporting and metric development, and help interpret changes in third-party measurement data. You’ll collaborate with multiple internal teams and external vendors, ensuring data quality, consistency, and clear insights that drive business decisions. A key part of the role is working with evolving industry datasets and helping translate complex measurement outputs into actionable findings for stakeholders. Key experience• SQL skills and comfort working with Big Data• Experience working with media, analytics, or measurement data (agency, ad sales, Nielsen \u002F comScore type exposure a plus)• Familiarity with digital or linear audience measurement concepts• Exposure to reporting tools and structured data environments (Excel, BI tools, or similar)• Strong attention to detail and ability to track data changes and methodology updates• Ability to communicate findings clearly across multiple teams and stakeholders This is a full-time opportunity and unfortunately sponsorship is not available currently (US Citizen or Green Card only). If interested, please apply here!\nAnsprechpartner: Sean Tomlinson\nE-Mail: s.tomlinson@lawrenceharvey.com","Analyst oder Senior Analyst - Measurement Data Analytics","Wir suchen einen Analyst oder Senior Analyst im Bereich Measurement Data Analytics für eine etablierte Media- und Digital-Organisation. Das Team ist Teil einer zentralisierten Analytics-Abteilung und konzentriert sich auf Audience Intelligence sowie Cross-Platform-Performance-Insights.\n\nIn dieser Rolle arbeiten Sie direkt mit großen Datenmengen, unterstützen die Entwicklung von Reportings und Metriken und helfen dabei, Veränderungen in Third-Party-Messdaten zu interpretieren. Sie werden mit verschiedenen internen Teams und externen Partnern zusammenarbeiten, um Datenqualität und Konsistenz zu gewährleisten und aussagekräftige Erkenntnisse zu liefern, die Geschäftsentscheidungen unterstützen.\n\nEin wesentlicher Aspekt der Position ist der Umgang mit sich entwickelnden Industrie-Datensätzen und die Übersetzung komplexer Messergebnisse in handlungsfähige Erkenntnisse für Stakeholder.\n\nGeforderte Qualifikationen:\n- Solide SQL-Kenntnisse und Erfahrung mit Big-Data-Umgebungen\n- Erfahrung mit Media-, Analytics- oder Messdaten (Agentur-, Ad-Sales- oder ähnliche Hintergründe von Vorteil)\n- Vertrautheit mit Digital- oder Linear-Audience-Measurement-Konzepten\n- Erfahrung mit Reporting-Tools und strukturierten Datenumgebungen (Excel, BI-Tools oder ähnlich)\n- Hohe Aufmerksamkeit für Details und Fähigkeit, Datenveränderungen und Methodologie-Updates zu verfolgen\n- Fähigkeit, Erkenntnisse klar über mehrere Teams und Stakeholder hinweg zu kommunizieren\n\nDies ist eine Vollzeitstelle. Erforderlich: US-Citizenship oder Green Card.","en","https:\u002F\u002Fwww.lawrenceharvey.com\u002Fde\u002Fjobs\u002F324288analystsranalystmeasurementstrategy",{"items":33},[34,54,68,95,114,128,143,162,173,186,196,213,231,249,261],{"id":35,"slug":36,"title":37,"skills":38,"budget":49,"duration":19,"location":50,"onsitePercent":51,"contractType":20,"foundAt":52,"category":53},13011,"product-analytics-manager-streaming-ticketing-hybrid-universal-city-ca","Product Analytics Manager | Streaming & Ticketing | Hybrid (Universal City, CA)",[39,40,8,41,42,43,44,45,46,47,48],"Product Analytics","Adobe Analytics","Databricks","Snowflake","Redshift","Tableau","Looker","A\u002FB Testing","Data Visualization","Subscription Models","$110,000-$130,000 + Bonus","Universal City, CA",60,"2026-06-15T15:41:11+00:00",{"id":23,"slug":24,"label":25},{"id":55,"slug":56,"title":57,"skills":58,"budget":19,"duration":63,"location":19,"onsitePercent":64,"contractType":65,"foundAt":66,"category":67},12937,"data-analyst-mfd-digital-product","Data Analyst (m\u002Ff\u002Fd) Digital Product",[59,60,46,8,42,61,62],"Amplitude","Tracking Best Practices","dbt","English","6 months+",0,"contracting","2026-06-15T13:20:33+00:00",{"id":23,"slug":24,"label":25},{"id":69,"slug":70,"title":71,"skills":72,"budget":19,"duration":90,"location":91,"onsitePercent":92,"contractType":65,"foundAt":93,"category":94},12920,"data-engineer-aws-ki-genai-mwd-95-remote","Data Engineer (AWS, KI, GenAI) (m\u002Fw\u002Fd) 95% remote",[73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89],"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":23,"slug":24,"label":25},{"id":96,"slug":97,"title":98,"skills":99,"budget":19,"duration":109,"location":110,"onsitePercent":111,"contractType":65,"foundAt":112,"category":113},12917,"senior-business-analyst-mit-data-bricks-know-how","Senior Business Analyst mit Data Bricks Know-how",[100,101,102,103,104,105,106,107,108],"Business Analysis","Data Bricks","Power BI","BI-Strategie","Datenmodellierung","ETL\u002FELT-Prozesse","Anforderungsanalyse","Englisch C1","Deutsch B2","08.2026 - 31.12.2026","Hamburg",50,"2026-06-15T11:55:49+00:00",{"id":23,"slug":24,"label":25},{"id":115,"slug":116,"title":117,"skills":118,"budget":19,"duration":124,"location":125,"onsitePercent":51,"contractType":65,"foundAt":126,"category":127},12911,"ms-sql-spezialist-sql-server-datenbanken-performance-tuning-mwd","MS SQL Spezialist (SQL Server, Datenbanken, Performance Tuning) (m\u002Fw\u002Fd)",[119,8,120,121,104,122,123],"Microsoft SQL Server","Datenbanken","Performance Tuning","Datenbankbetrieb","Azure SQL","12 Monate + Option","Basel","2026-06-15T11:40:56+00:00",{"id":23,"slug":24,"label":25},{"id":129,"slug":130,"title":131,"skills":132,"budget":19,"duration":138,"location":139,"onsitePercent":140,"contractType":65,"foundAt":141,"category":142},12908,"etl-entwickler-data-warehousing-mwd-ssis-ms-sql-server","ETL Entwickler Data Warehousing (m\u002Fw\u002Fd) – SSIS \u002F MS SQL Server",[133,134,119,135,8,104,136,137],"ETL Entwicklung","Data Warehousing","SSIS","Datenintegration","Datentransformation","01.07.2026 - 31.12.2026","Bern",100,"2026-06-15T11:36:07+00:00",{"id":23,"slug":24,"label":25},{"id":144,"slug":145,"title":146,"skills":147,"budget":19,"duration":159,"location":110,"onsitePercent":19,"contractType":65,"foundAt":160,"category":161},12887,"senior-data-engineer-mit-schwerpunkt-data-bricks","Senior Data Engineer mit Schwerpunkt Data Bricks",[41,148,61,149,150,151,152,153,154,155,104,156,157,158],"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":23,"slug":24,"label":25},{"id":163,"slug":164,"title":165,"skills":166,"budget":19,"duration":170,"location":125,"onsitePercent":64,"contractType":65,"foundAt":171,"category":172},12862,"data-engineer-databricks-azure-sql-mwd","Data Engineer (Databricks, Azure, SQL) (m\u002Fw\u002Fd)",[41,167,8,149,155,104,168,169],"Azure Data Services","Data Analytics","Agile Methoden","Nach Vereinbarung, Start August 2026","2026-06-15T10:21:02+00:00",{"id":23,"slug":24,"label":25},{"id":174,"slug":175,"title":176,"skills":177,"budget":19,"duration":183,"location":19,"onsitePercent":64,"contractType":65,"foundAt":184,"category":185},12858,"senior-business-analyst-mwd-3","Senior Business Analyst (m\u002Fw\u002Fd)",[100,178,106,179,104,102,105,180,151,181,182],"BI\u002FData Analytics","BI-Strategieentwicklung","Datenarchitekturen","Englisch","Deutsch","5 Monate, Start August 2026","2026-06-15T10:10:57+00:00",{"id":23,"slug":24,"label":25},{"id":187,"slug":188,"title":189,"skills":190,"budget":19,"duration":193,"location":19,"onsitePercent":64,"contractType":65,"foundAt":194,"category":195},12855,"senior-data-engineer-mwd-2","Senior Data Engineer (m\u002Fw\u002Fd)",[149,61,41,148,191,104,155,156,192,154,181,182],"Microsoft Azure","Apache Kafka","6 Monate ++","2026-06-15T09:52:02+00:00",{"id":23,"slug":24,"label":25},{"id":197,"slug":198,"title":199,"skills":200,"budget":19,"duration":19,"location":210,"onsitePercent":111,"contractType":65,"foundAt":211,"category":212},12846,"salesforce-data-analyst-mwd","Salesforce Data Analyst (m\u002Fw\u002Fd)",[201,202,203,204,205,206,207,208,209],"Salesforce","Business Intelligence","Datenanalyse","Dashboards","SAP","Scrum","Jira","Berichten","Präsentation","Gummersbach","2026-06-15T09:26:29+00:00",{"id":23,"slug":24,"label":25},{"id":214,"slug":215,"title":216,"skills":217,"budget":19,"duration":227,"location":228,"onsitePercent":19,"contractType":65,"foundAt":229,"category":230},12822,"data-engineer-mwd-6","Data Engineer (m\u002Fw\u002Fd)",[218,219,220,221,222,223,17,224,225,226,62],"Python","Kubernetes","GKE","Airflow","Dagster","Control-M","Observability","Data Mesh","Platform Engineering","3 Monate","Malaga","2026-06-15T08:31:13+00:00",{"id":23,"slug":24,"label":25},{"id":232,"slug":233,"title":234,"skills":235,"budget":244,"duration":245,"location":246,"onsitePercent":140,"contractType":65,"foundAt":247,"category":248},12784,"data-integration-consultant-developer-nach-wien-gesucht-2","Data Integration Consultant \u002F Developer nach Wien gesucht",[236,8,218,237,238,239,240,241,242,182,181,243],"Data Integration","REST APIs","SaaS-Plattformen","Technical Consulting","Django","Datenintegrationen","API-Integration","KI-Tools","Stundensatz auf All-in-Basis auf Anfrage","asap - 31.12.2026","Wien","2026-06-15T06:00:31+00:00",{"id":23,"slug":24,"label":25},{"id":250,"slug":251,"title":252,"skills":253,"budget":19,"duration":257,"location":258,"onsitePercent":64,"contractType":65,"foundAt":259,"category":260},12776,"data-engineer-mit-fabriconelake-security-erfahrung-mwd-100-remote-start-01072026","Data Engineer mit Fabric\u002FOneLake Security-Erfahrung (m\u002Fw\u002Fd) - 100% Remote - Start: 01.07.2026",[254,255,256,218,8,148],"Data Engineer","Microsoft Fabric","OneLake Security","6 Monate, Start 01.07.2026","Nürnberg","2026-06-14T06:15:19+00:00",{"id":23,"slug":24,"label":25},{"id":262,"slug":263,"title":264,"skills":265,"budget":272,"duration":19,"location":273,"onsitePercent":140,"contractType":20,"foundAt":274,"category":275},12753,"analytics-engineer-manager","Analytics Engineer, Manager",[266,8,41,267,268,269,17,270,271],"Analytics Engineering","Data Modeling","Cloud Data Platforms","Forecasting Models","Testing","Documentation","$110,000 - $130,000 + Bonus","NYC, New Jersey","2026-06-12T18:41:12+00:00",{"id":23,"slug":24,"label":25}]