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Amazon Marketing Data Analyst in Amsterdam, Netherlands

Description

Ring Europe is looking for a talented marketing analyst, capable of discovering new data insights, designing key KPIs, creating impactful data visualization and bringing our marketing analytics to the next level.

As our marketing analyst, you will be responsible for key analytical projects and business intelligence in the marketing domain. You will have hands-on experience in digital marketing platforms such as Google, Meta and Bing and are knowledgeable about the latest developments in SEO and digital ads in the industry. You are a marketer at heart but you are also a data expert, writing complex database queries to explore internal / external data sources in order to validate business hypotheses.

This role resides in the BI and Analytics team. You will closely co-work with the Marketing and Business Development teams, along with other business stakeholders, ensuring that Ring optimises its marketing investment to achieve the best return.

Key job responsibilities

Working closely with the marketing, web analytics and business development teams, you will solve unique analytical problems and find answers to questions that require tenacious problem-solving skills and creativity.

What You'll Do:

  • Enhance existing marketing measurement and design KPIs to best measure marketing effectiveness and budget efficiency

  • Collaborate closely with the marketing team to dive deep into areas such as SEO, funnel analysis and attribution models that will enhance marketing performance using data analytics; then make actionable recommendations

  • Research industry best practices, the latest tracking trends (such as cookies) and analytical measurement tools

  • Create and maintain marketing-related Tableau dashboards

  • Work with the data engineering team to maintain and enhance the internal marketing data platform and data models

  • Explore and review internal and external marketing data sources to ensure data quality; devise mechanisms and tools to monitor data integrity on a large scale

  • Conduct ad hoc research and root cause analyses in fields such as user behaviour and web traffic

  • Assist with preparing quarterly business review documents

  • Coordinate & facilitate data supply to CMO

We are open to hiring candidates to work out of one of the following locations:

Amsterdam, NLD

Basic Qualifications

  • Bachelors degree in Business, Marketing, Information Systems, Engineering, Operations Research, Mathematics or other business/analytical disciplines, or equivalent

  • Five years of professional experience in the marketing analytics field, using data to provide recommendations and drive improvements

  • Strong digital marketing knowledge (e.g. Google Ads, Meta Ads and Bing Ads); experience with web traffic analytics tools (e.g. Google analytics, Adobe analytics or Amazon SEO)

  • Proficiency in SQL (a must), Tableau, Excel modelling and statistical analysis tools

  • Experience designing and conducting A/B testing and marketing experiments using statistical tools

  • Excellent written and oral communication and presentation skills

Preferred Qualifications

  • Masters degree in Business, Marketing, Information Systems, Engineering, Operations Research, Mathematics or other business/analytical disciplines, or equivalent

  • Hands-on Python experience in data analysis and API data extraction

  • Proven work portfolios in business and digital analytics is a plus

  • Experience of applying machine learning in marketing is a plus

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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