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Marketing Data Analyst

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Canonical

2mo ago

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

AI generated summary

  • You need a background in data science or engineering, expertise in statistics and coding (Python, SQL), proficiency in data visualization tools, strong communication skills, and resilience in challenges.
  • You will analyze data to enhance product adoption, conduct experiments for insights, collaborate with cross-functional teams, and maintain self-service access to 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

Is this position fully remote?

Yes, this role is fully remote and has been since 2004.

What qualifications are required for the Marketing Data Analyst position?

A background in data science, mathematics, actuarial science, or engineering is required, along with knowledge in advanced statistics, data sciences, and coding/scripting languages.

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

You will utilize advanced data analytics tools, data visualization tools (such as Looker Studio, Tableau, or Apache Superset), and coding/scripting languages like Python and JavaScript.

What type of experience is preferred for this position?

Experience in data analytics, visualisation, and the ability to translate business questions to key research objectives is preferred.

Will I have opportunities for professional development?

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

What is the compensation philosophy at Canonical?

Our compensation philosophy is to ensure equity right across our global workforce, with base pay depending on geographical location, level of experience, knowledge, and skills.

What benefits does Canonical offer?

Benefits include a fully remote working environment, annual compensation reviews, recognition rewards, holiday leave, parental leave, employee assistance programmes, and travel opportunities.

Who will I report to as a Marketing Data Analyst?

You will report to the Growth Engineering Manager.

What is Canonical's approach towards diversity and inclusion?

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

How does the Marketing team at Canonical drive commercial outcomes?

The Marketing team drives commercial outcomes through digital marketing campaigns, lifecycle management, events, partnerships, and community development.

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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.