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Description:
The Junior Data Engineer role at Canonical involves utilizing data analytics and data mining skills to shape the future of marketing technology.
The position focuses on understanding technology adoption patterns, respecting visitors' data, and using open source in marketing.
The ideal candidate will be passionate about technology and marketing, preferring an environment that emphasizes ownership, collaboration, learning, and continuous improvement.
Responsibilities include utilizing advanced data analytics to grow product adoption, conducting experiments with data, collaborating with various stakeholder teams, and maintaining self-service access to data dashboards.
This role is remote-based in the EMEA region and reports to the Growth Engineering Manager.
Requirements:
A background in data science, mathematics, actuarial science, or engineering is required.
Knowledge of advanced statistics, data sciences, coding/scripting languages (such as Python and JavaScript), and databases (like SQL) is essential.
Candidates must have strength in data analytics and visualization tools (such as Looker Studio, Tableau, or Apache Superset).
The ability to translate business questions into key research objectives and identify the best methodologies for research execution is necessary.
Excellent writing and communication skills are required.
A willingness to challenge the status quo and resilience in facing challenges is expected.
Benefits:
The position offers a fully remote working environment, reflecting Canonical's remote-first approach since 2004.
A personal learning and development budget of 2,000 USD per annum is provided.
There is an annual compensation review to ensure competitive pay.
Recognition rewards are available for outstanding contributions.
Employees receive annual holiday leave and parental leave.
An Employee Assistance Programme is offered for support.
Opportunities to travel to meet colleagues at 'sprints' are available.
A Priority Pass for travel and travel upgrades for long-haul company events is included.
Apply now
Please, let Canonical - Jobs know you found this job
on RemoteYeah
.
This helps us grow 🌱.