Logo of Huzzle

Marketing Data Analyst

image

Canonical

16d ago

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

AI generated summary

  • You need a background in data science or engineering, expertise in statistics and coding (Python, SQL), strong analytics and visualization skills, plus excellent communication and problem-solving abilities.
  • You will analyze data to enhance product adoption, conduct experiments on target audiences, collaborate with teams to optimize data tools, and maintain self-service data 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, this role is fully remote, and Canonical has been a remote-first company since its inception in 2004.

What qualifications are needed for the Marketing Data Analyst position?

A background in data science, mathematics, actuarial science, or engineering is preferred, along with knowledge in advanced statistics, data sciences, and coding/scripting languages such as Python and SQL.

What tools and technologies will I be using in this role?

You will utilize advanced data analytics tools and visualization platforms such as Looker Studio, Tableau, or Apache Superset, as well as coding languages and databases.

What kind of work environment can I expect?

You can expect a collaborative environment that emphasizes ownership of campaigns, continuous learning, curiosity, and a drive to improve.

How does Canonical foster employee development?

Canonical provides a personal learning and development budget of 2,000 USD per annum for team members.

Who will I report to in this role?

This role reports to the Growth Engineering Manager within the Marketing team.

Is there an opportunity for bonuses or additional compensation?

Yes, in addition to a competitive base pay, certain roles are eligible for annual bonuses and sales incentives based on revenue or utilization.

What are the expected daily tasks for a Marketing Data Analyst?

You will conduct advanced data analytics, design and conduct experiments, collaborate with multiple teams, and maintain systems for data dashboards.

Will travel be required for this position?

While the role is remote, there may be opportunities to travel to meet colleagues at company events or 'sprints'.

How does Canonical prioritize diversity in hiring?

Canonical is an equal opportunity employer, fostering a workplace free from discrimination and ensuring fair consideration of applications regardless of identity.

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.