Junior Analytics Engineer

Description

The company is a global online marketplace for luxury fashion, linking customers in more than 190 countries with items from over 1,400 brands and boutiques.

The role sits in the Operations team, which runs the order process from online content and payments through fulfilment, delivery and customer and partner support.

The office is near Porto in northern Portugal, in a business hub with a large community of tech professionals.

Responsibilities

• Work under the Data & Analytics Manager to solve complex data problems, using a range of tools to build accurate, scalable solutions for the FintechOps department.
• Solve complex data problems with a mix of tools and build innovative, scalable solutions.
• Use BigQuery, dbt and Python to extract raw datasets and turn them into structured, usable formats.
• Build and maintain data models, reports and dashboards in BigQuery and Looker so stakeholders get relevant, timely information.
• Apply advanced statistical and analytical methods to draw meaningful insights from large datasets.
• Find and fix data issues before they cause problems, keeping analytical outputs reliable and accurate.
• Work with cross-functional teams to understand business needs and deliver data-driven solutions.
• Explain complex findings clearly to both technical and non-technical audiences.

Requirements

• Hold a bachelor's degree and at least two years of relevant experience. Equivalent mixes of education and experience will be considered.
• Be proficient in SQL, such as SQL Server or BigQuery.
• Have experience with data visualisation tools such as Looker, PowerBI or Tableau.
• Nice to have: knowledge of statistical programming languages such as Python and/or R.
• Solve complex technical problems on your own.
• Be detail-oriented, with a strong focus on data accuracy and quality.
• Communicate technical concepts clearly to non-technical people.
• Be advanced in English, written and spoken.

Conditions

Office-based near Porto, Portugal.

Equal opportunities: the company treats all applicants fairly and does not discriminate on any protected basis.

Be aware of recruitment scams: the company never uses messaging apps or unofficial channels to recruit, and never asks candidates for payment.

Benefits

• Health insurance covering the whole family, plus well-being resources.
• 25 days of annual leave above the statutory minimum, 2 Caring Days per year, and a sabbatical after 5 years of service.
• Training opportunities and free access to LinkedIn Learning.
• A flexible benefits programme.
• A flexible working environment.