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Marketing Data Analyst

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Canonical

2mo ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Marketing
  • Düsseldorf
    Remote

AI generated summary

  • You should have a background in data science or engineering, expertise in statistics and databases, strong data analysis skills, excellent communication, and resilience in problem-solving.
  • You will analyze data to enhance product adoption, conduct experiments for audience insights, collaborate with teams to improve data tools, and maintain self-service access to dashboards.

Requirements

  • Background in data science, mathematics, actuarial science, or engineering
  • Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
  • Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc)
  • Ability to translate business questions to key research objectives
  • Ability to identify the best methodology to execute research, synthesise and analyse findings
  • Excellent writing and communication skills
  • Willingness to examine the status quo and resilient in the face of challenges

Responsibilities

  • Utilise advanced data analytics to grow Canonical's product adoption and market penetration
  • Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
  • Design and conduct experiments with data, visualisation and insights into Canonical's target audiences
  • Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem
  • Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards

FAQs

Do we support remote work?

Yes, we offer a fully remote working environment as we have been operating remotely since 2004.

What are the key responsibilities of a Marketing Data Analyst at Canonical?

The key responsibilities include utilizing advanced data analytics to drive product adoption, conducting experiments, collaborating with various teams to improve the data ecosystem, and maintaining self-service access to data dashboards.

What qualifications are required for this position?

We are looking for candidates with a background in data science, mathematics, actuarial science, or engineering, as well as knowledge in advanced statistics, data sciences, coding/scripting languages, and data visualization tools.

Is there a personal development budget available?

Yes, we provide a personal learning and development budget of 2,000 USD per annum.

How does Canonical support employee well-being?

Canonical offers several benefits including an Employee Assistance Programme, annual holiday leave, and parental leave.

What is the company culture like at Canonical?

The culture emphasizes ownership, collaboration, curiosity, continuous improvement, and a drive to solve problems through technology.

Will I be expected to work with unfamiliar tools?

Yes, candidates should be ready to embrace new technologies and work with unfamiliar tools as needed.

How frequently does Canonical conduct compensation reviews?

We conduct annual compensation reviews.

What kind of recognition rewards does Canonical offer?

Canonical provides various recognition rewards to acknowledge employee contributions and achievements.

What kind of technology experience is preferred for this role?

Ideal candidates should have experience in advanced data analytics, data visualization tools (like Looker Studio or Tableau), and proficiency in coding/scripting languages such as Python and JavaScript.

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Canonical

Enterprise open source, secured and delivered by the publisher of Ubuntu.

Technology
Industry
501-1000
Employees
2004
Founded Year

Mission & Purpose

Canonical is a technology company known for developing and supporting Ubuntu, a popular open-source operating system. The company focuses on providing reliable, secure, and cost-effective solutions for cloud computing, IoT, and containers. By leveraging open-source technologies, Canonical aims to enable innovation and digital transformation for businesses and developers worldwide. The company is committed to ensuring high performance and scalability, promoting the adoption of open-source software, and fostering a global community of users and contributors.

Benefits

  • Remote working

    Canonical has been a fully distributed organisation since its origin in 2004. Digital collaboration allows us to enjoy our home environment and work with the best in the world in our domain. We meet each other at least twice per year during in-person sprints to nurture cross-team relationships.

  • We build trust

    Zero commute means more time for the things you enjoy. At the same time, we have very high expectations of commitment and independent execution. We invest in people who are self-driven, motivated and highly organised. We take our responsibility for the most critical elements of open infrastructure very seriously, and we are committed to quality in every aspect of our product and services.

  • We engineer excellence

    We aspire to lead on the global stage. There’s no other way to describe it than hard work, hard challenges and hard competition. You will need to show that you can compete in deeply challenging intellectual fields. Your colleagues are aiming for the top, and they depend on you to set the same standard in your area of responsibility. That’s tough but incredibly satisfying. We value those who take ownership of their area and take opportunities to be exceptional.

  • We travel

    We optimise our team structure for time zone overlap. Collaboration and inspiration takes time to fully develop but leadership at Canonical means building cross-team relationships. We nurture those relationships through regular global summits which bring diverse teams or their leaders together. We host these events around the world to discover great places to explore and appreciate in the process. Team events have taken place in Vancouver, Brugge, New York, Budapest, Orlando, Cape Town, Warsaw, Seoul, Paris, Portland, Lyon, London, Toronto and many more.