SENIOR DATA ANALYST – DATA SCIENCE / INTERNATIONAL APPAREL & LIFESTYLE COMPANY | CENTRAL SWITZERLAND

Sidler SA; Zürich; Presencial; CHF 110.000 - 170.000; Jornada completa

Descripción de la vacante

Sidler SA is seeking a Senior Data Analyst to advance data science and performance marketing analytics in a fast-growing apparel and lifestyle brand. The role emphasizes hands-on data work, data quality, and translating insights into business actions.

You will collaborate across data analytics, data science, and marketing to drive reliable measurement and data-driven decisions in a dynamic, international environment in Central Switzerland.

Formación

• Ideally 5+ years of experience in Data Analytics, Performance Marketing Analytics, Data Science, BI, or related role.
• Strong SQL skills and advanced Excel capabilities; experience with BI/visualization tools.
• Fluent in English; experience in apparel, lifestyle, retail, consumer goods, or e-commerce is advantageous.

Responsabilidades

• Produce and maintain daily performance reports, dashboards, and KPIs.
• Investigate, reconcile, and validate data across multiple sources.
• Analyze marketing campaign performance, ROAS, CAC, and other KPIs to assess effectiveness.
• Connect and analyze data from different platforms to build a unified view of performance.
• Apply statistical methods and models to identify trends and support forecasting.
• Translate analytical findings into actionable recommendations for stakeholders.

Conocimientos

Data Analytics

Performance Marketing Analytics

Data Science

Business Intelligence

SQL

Excel

Power BI

Tableau

Looker

Python

R

English

Herramientas

Power BI

Tableau

Looker

Python

R

Excel

Descripción del empleo

We are currently recruiting for a fast‑growing international Apparel & Lifestyle Company seeking a Senior Data Analyst - Data Science & Performance Marketing to strengthen its data‑driven decision‑making and performance measurement capabilities.

This 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.

Working 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.

RESPONSIBILITIES

• Data Analysis & Reporting: Produce and maintain daily performance reports, dashboards, and KPIs, ensuring accurate, consistent, and timely visibility into business and marketing performance.
• Data Quality & Validation: Investigate, reconcile, and validate data across multiple sources, identifying discrepancies and understanding how data is collected, processed, attributed, and reported.
• Performance Marketing Analytics: Analyze marketing campaign performance, channel efficiency, customer acquisition, conversion rates, ROAS, CAC, and other relevant KPIs to assess effectiveness and identify optimization opportunities.
• Data Integration & Modelling: Connect and analyze data from different platforms and sources, building a reliable and consistent view of performance across channels and systems.
• Advanced Analytics & Data Science: Apply statistical methods, analytical models, and quantitative techniques to identify trends, explain performance drivers, and support forecasting and decision‑making.
• Performance Monitoring: Track daily, weekly, and monthly performance, investigate unexpected fluctuations, and distinguish genuine business trends from data inconsistencies or measurement issues.
• Business Insights: Translate analytical findings into clear, actionable recommendations to improve marketing efficiency, commercial performance, and business outcomes.
• Cross‑functional Collaboration: 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.
• Continuous Improvement: Improve reporting processes, analytical methodologies, and data workflows, identifying opportunities to automate repetitive tasks and enhance the quality and efficiency of performance analysis.

THE IDEAL CANDIDATE

• Ideally 5+ years of experience in Data Analytics, Performance Marketing Analytics, Data Science, Business Intelligence, or a related analytical role.
• Strong quantitative and analytical mindset, with the ability to investigate complex datasets, identify inconsistencies, and understand the underlying mechanisms behind the numbers.
• Hands‑on experience working with multiple data sources and reconciling data from different platforms, systems, or reporting environments.
• Solid understanding of digital marketing and performance measurement, including campaign analytics, attribution, conversion tracking, ROAS, CAC, and other relevant performance KPIs.
• Strong SQL skills and advanced Excel capabilities, with experience using BI and visualization tools such as Power BI, Tableau, or Looker.
• Experience with Python or R for data analysis, statistical modelling, or automation is a strong plus.
• Ability to understand data collection methodologies, tracking mechanisms, attribution models, and potential sources of measurement bias or data discrepancies.
• Comfortable producing and interpreting daily reports while also investigating the underlying causes of performance changes.
• Strong problem‑solving skills, attention to detail, and a pragmatic, hands‑on approach to data.
• Ability to translate technical findings into clear insights and recommendations for non‑technical stakeholders.
• Fluent in English.
• Experience in apparel, lifestyle, retail, consumer goods, or e‑commerce is important, particularly in environments with multiple sales and marketing channels.

WHAT ITS OFFER

• The opportunity to play a key role in strengthening the data and performance analytics capabilities of a fast‑growing international brand.
• A hands‑on position combining data analysis, data science, and performance marketing.
• Direct exposure to business performance and the opportunity to influence decisions through reliable, insightful analysis.
• A dynamic, international environment where analytical thinking and data‑driven decision‑making are central to business growth.
• The opportunity to improve data quality, reporting processes, and performance measurement methodologies.

Location

Central Switzerland