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Marketing Data Analyst

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Canonical

10d ago

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

AI generated summary

  • You need a background in data science or similar, skills in statistics and coding (Python, SQL), data visualization expertise, strong communication, and resilience in challenges.
  • You will analyze data to boost product adoption, conduct experiments, collaborate with teams to enhance data tools, and ensure self-service access to dashboards across the company.

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 operate in a fully remote working environment.

What is the focus of the Marketing Data Analyst role?

The role focuses on utilizing advanced data analytics to grow Canonical's product adoption and market penetration, conducting experiments with data, and generating insights into target audiences.

What qualifications are necessary for this position?

The ideal candidate should have a background in data science, mathematics, actuarial science, or engineering, and possess knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc.), and databases (SQL, etc.).

How does the company approach employee learning and development?

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

What types of tools will I be using in this role?

You will utilize advanced statistics, data visualization tools (such as Looker Studio, Tableau, Apache Superset), and various coding/scripting languages to conduct your analyses.

Who will I report to in this role?

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

Is there any possibility of bonuses or incentives?

Yes, certain roles are eligible for annual bonuses and sales incentives based on revenue or utilization.

What is the company's stance on diversity and equal opportunity?

Canonical is an equal opportunity employer and is proud to foster a workplace free from discrimination, valuing diversity of experience, perspectives, and backgrounds.

What benefits does Canonical offer?

Canonical offers a competitive base pay, an annual compensation review, recognition rewards, annual holiday leave, parental leave, an Employee Assistance Programme, and opportunities for travel.

How does Canonical support employees during challenging times?

Canonical offers an Employee Assistance Programme to support employees in various challenges they might face.

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.