pWe are currently recruiting for a fast‑growing international Apparel Lifestyle Company seeking a bSenior Data Analyst - Data Science Performance Marketing /b to strengthen its data‑driven decision‑making and performance measurement capabilities. /ppThis is a hands‑on analytical role for a highly numerical, curious, and technically minded professional who can go beyond reporting to understand the full data landscape, validate data accuracy, connect multiple data sources, and uncover the insights behind business and marketing performance. /ppWorking across data analytics, data science, and performance marketing, the successful candidate will play a key role in ensuring data reliability, developing meaningful performance analyses, and translating complex datasets into actionable insights. The role requires someone who is comfortable working directly with data, investigating discrepancies, understanding how data is generated and processed, and challenging the numbers when necessary. /ph3RESPONSIBILITIES /h3ullibData Analysis Reporting: /b Produce and maintain daily performance reports, dashboards, and KPIs, ensuring accurate, consistent, and timely visibility into business and marketing performance. /lilibData Quality Validation: /b Investigate, reconcile, and validate data across multiple sources, identifying discrepancies and understanding how data is collected, processed, attributed, and reported. /lilibPerformance Marketing Analytics: /b Analyze marketing campaign performance, channel efficiency, customer acquisition, conversion rates, ROAS, CAC, and other relevant KPIs to assess effectiveness and identify optimization opportunities. /lilibData Integration Modelling: /b Connect and analyze data from different platforms and sources, building a reliable and consistent view of performance across channels and systems. /lilibAdvanced Analytics Data Science: /b Apply statistical methods, analytical models, and quantitative techniques to identify trends, explain performance drivers, and support forecasting and decision‑making. /lilibPerformance Monitoring: /b Track daily, weekly, and monthly performance, investigate unexpected fluctuations, and distinguish genuine business trends from data inconsistencies or measurement issues. /lilibBusiness Insights: /b Translate analytical findings into clear, actionable recommendations to improve marketing efficiency, commercial performance, and business outcomes. /lilibCross‑functional Collaboration: /b Work closely with Marketing, Digital, E‑commerce, and other business stakeholders to understand their needs, challenge assumptions, and ensure data‑driven decisions are based on reliable evidence. /lilibContinuous Improvement: /b Improve reporting processes, analytical methodologies, and data workflows, identifying opportunities to automate repetitive tasks and enhance the quality and efficiency of performance analysis. /li /ulh3THE IDEAL CANDIDATE /h3ulliIdeally 5+ years of experience in bData Analytics, Performance Marketing Analytics, Data Science, Business Intelligence /b, or a related analytical role. /liliStrong quantitative and analytical mindset, with the ability to investigate complex datasets, identify inconsistencies, and understand the underlying mechanisms behind the numbers. /liliHands‑on experience working with multiple data sources and reconciling data from different platforms, systems, or reporting environments. /liliSolid understanding of digital marketing and performance measurement, including campaign analytics, attribution, conversion tracking, ROAS, CAC, and other relevant performance KPIs. /liliStrong SQL skills and advanced Excel capabilities, with experience using BI and visualization tools such as Power BI, Tableau, or Looker. /liliExperience with Python or R for data analysis, statistical modelling, or automation is a strong plus. /liliAbility to understand data collection methodologies, tracking mechanisms, attribution models, and potential sources of measurement bias or data discrepancies. /liliComfortable producing and interpreting daily reports while also investigating the underlying causes of performance changes. /liliStrong problem‑solving skills, attention to detail, and a pragmatic, hands‑on approach to data. /liliAbility to translate technical findings into clear insights and recommendations for non‑technical stakeholders. /liliFluent in English. /liliExperience in apparel, lifestyle, retail, consumer goods, or e‑commerce is important, particularly in environments with multiple sales and marketing channels. /li /ulh3WHAT ITS OFFER /h3ulliThe opportunity to play a key role in strengthening the data and performance analytics capabilities of a fast‑growing international brand. /liliA hands‑on position combining data analysis, data science, and performance marketing. /liliDirect exposure to business performance and the opportunity to influence decisions through reliable, insightful analysis. /liliA dynamic, international environment where analytical thinking and data‑driven decision‑making are central to business growth. /liliThe opportunity to improve data quality, reporting processes, and performance measurement methodologies. /li /ulh3Location /h3pCentral Switzerland /p #J-18808-Ljbffr
SENIOR DATA ANALYST – DATA SCIENCE / INTERNATIONAL APPAREL & LIFESTYLE COMPANY | CENTRAL SWITZERLAND Arbeitgeber: SIDLER SA
pSIDLER SA ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern in der malerischen Region Lugano nicht nur ein inspirierendes Arbeitsumfeld bietet, sondern auch zahlreiche Möglichkeiten zur beruflichen Weiterentwicklung. Mit einem starken Fokus auf Teamarbeit und Innovation fördert das Unternehmen eine Kultur, die Kreativität und Exzellenz in der globalen Luxusmarkenführung schätzt. Die Mitarbeiter profitieren von attraktiven Vergünstigungen und einem dynamischen Umfeld, das es ihnen ermöglicht, ihre Fähigkeiten in einem internationalen Kontext zu entfalten und einen bedeutenden Einfluss auf die Markenstrategie zu haben./p