Department

IT

Job title

Junior Ecommerce Data Analyst (Digital Marketing)

Location

Amsterdam, the Netherlands

About us: iconic brand, tiny company

Polaroid was founded in 1937 by one of the most seminal innovators of the 20th century, Edwin Land. His motto was, “don't undertake a project unless it is manifestly important and nearly impossible.” In 2008, Polaroid shuttered its last factory but a group of diehard fans came together as The Impossible Project to save instant film. Over 10 years later that startup acquired what was left of Polaroid and today we’re again a small group of people passionate about empowering creators to change the world in the name of Polaroid.

What we're building: tools for creators

Throughout its 80-year history, Polaroid was at its best when we made tools for people to express themselves, push boundaries and move culture forward. In the next decade, we are getting back to this purpose. We're not solving small problems, and we're not addressing a small market; our goal is to make products that will make the world more meaningful and human.

Your role: Junior Ecommerce Data Analyst (Digital Marketing)

We are looking for a Junior Ecommerce Data Analyst to join our dynamic team. As a Junior Ecommerce Data Analyst, you will be responsible for collecting, cleaning, and organizing data from various sources such as ecommerce platforms, social media, and customer databases. You will also use Python programming languages and tools to manipulate and analyze data, and use Google Analytics, Looker Studio, and SQL to extract and analyze large data sets.

You will be expected to create reports and visualizations to communicate findings to stakeholders, with a focus on digital marketing performance metrics. To achieve this, you will need to collaborate with cross-functional teams such as marketing, product, and engineering to understand business goals and develop data-driven solutions to improve digital marketing performance.

To be successful in this role, you should be continuously monitoring and analyzing data to identify trends and patterns that can inform digital marketing strategy. You should also stay up-to-date on industry trends and best practices to ensure the company's data analysis efforts are effective and efficient.

What you will do

• Collect, clean and organize data from various sources such as ecommerce platforms, social media, and customer databases.
• Use Python programming languages and tools to manipulate and analyze data
• Use Google Analytics, Looker Studio, and SQL to extract and analyze large data sets
• Create reports and visualizations to communicate findings to stakeholders, with a focus on digital marketing performance metrics.
• Collaborate with cross-functional teams such as marketing, product, and engineering to understand business goals and develop data-driven solutions to improve digital marketing performance.
• Continuously monitor and analyze data to identify trends and patterns that can inform digital marketing strategy.
• Stay up-to-date on industry trends and best practices to ensure the company's data analysis efforts are effective and efficient.

What you bring

• Bachelor's degree in Computer Science, Mathematics, Economics, or related field
• Strong knowledge of Python and experience with data analysis tools such as Pandas and Numpy
• Experience with Google Analytics, Looker Studio, and SQL is a must
• Experience with data visualization tools such as Power BI
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills
• Familiarity with ecommerce platforms and digital marketing trends is a plus

Who you are

• Strong attention to detail and ability to work in a fast-paced, deadline-driven environment
• Proven ability to work independently and as part of a team
• A self-starter with a passion for data analysis and a desire to continuously learn and improve
• A results-oriented individual with a track record of delivering actionable insights that drive digital marketing performance
• A skilled user of Python, Google Analytics, Looker Studio, and SQL and able to extract insights from large data sets to improve digital marketing performance.

What to expect

This is a full-time job-based in Amsterdam HQ and is available as soon as possible. You will be reporting directly to our Web Data Analyst.

Contact

If you would like to be considered for the role, please email your resume and any other relevant information to support your application to [email protected] or apply on LinkedIn.

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