Analytics Engineer

About Us

Planet is a leading technology company transforming payments by putting customer experience first. We offer integrated solutions that include payment processing, VAT refunds, dynamic currency conversion, and management services for merchants in the Retail and Hospitality sectors worldwide.

In recent years, we have experienced significant growth, expanding our services and global presence.

With strong private equity investors, Advent International and Eurazeo, we have the financial capital and expertise to grow our capabilities and reach through acquisitions.

Our mission is to create a world of connected commerce where payments are simple, secure, and seamless, enabling our partners to deliver exceptional experiences to their customers.

Role Overview

As an Associate Analytics Engineer II, you will take increased ownership in building and maintaining analytics‑ready data models that support reporting, dashboards, and business decision‑making. This role builds on foundational analytics engineering skills and focuses on independent delivery, data quality, and consistent application of best practices using dbt, SQL, and Snowflake.

You will work closely with Senior Analytics Engineers, Data Analysts, Data Engineers, and business stakeholders to transform raw data into clean, tested, and well‑documented datasets. Compared to the AAE role, this position requires less day‑to‑day guidance and greater accountability for the quality and reliability of delivered models.

The AAE II is expected to be a reliable individual contributor, capable of owning well‑scoped analytics transformations end‑to‑end while continuing to grow toward senior‑level responsibilities.

What You Will Do:

Design & Develop Analytics Models

• Independently develop Bronze → Silver dbt models following established standards.
• Contribute to Gold‑layer models and analytics outputs under guidance.
• Apply dimensional modeling concepts (facts, dimensions) to support analytics and BI use cases.

Data Transformation & dbt Development

• Use dbt to build, test, and document analytics models.
• Refactor existing models to improve clarity, performance, or consistency.
• Apply reusable patterns and macros where appropriate.

Data Quality & Testing

• Implement appropriate dbt tests (e.g. not null, uniqueness, accepted values) for all owned models.
• Validate data outputs against business logic and expected behaviour.
• Identify potential data quality issues early and work with peers to resolve them.

Performance & Reliability

• Be mindful of model performance and warehouse costs.
• Apply basic optimisation techniques (e.g. filtering, incremental models) with guidance.
• Monitor model runs and respond to failures or anomalies.

Collaboration & Stakeholder Support

• Work closely with analysts to understand reporting and data requirements.
• Support analytics use cases by ensuring data is well‑structured and clearly defined.
• Communicate progress, risks, and blockers proactively.

Documentation & Knowledge Sharing

• Own documentation for delivered models and columns using dbt.
• Write clear, business‑friendly definitions aligned with shared terminology.
• Contribute to shared team documentation, standards, or playbooks.

Continuous Improvement

• Suggest improvements to existing models, tests, or workflows.
• Learn and apply analytics engineering best practices.
• Begin supporting junior engineers through knowledge sharing or informal guidance.

Who you are:

• 3–6 years of experience in analytics engineering, analytics, or a closely related role
• Strong SQL skills and experience working with analytics datasets
• Practical experience using dbt for transformations, tests, and documentation
• Experience working with a modern data warehouse (e.g. Snowflake)
• Familiarity with BI and analytics consumption patterns

Nice to Have

• Exposure to semantic layers or shared metrics
• Experience supporting Power BI or similar BI tools
• Familiarity with Git‑based workflows and CI checks
• Understanding of incremental modeling and performance tuning basics

What Success Looks Like

• Independently delivers consistent, high‑quality Silver‑layer models
• Applies testing and documentation without prompting
• Requires limited review cycles for standard work
• Demonstrates growing confidence in modeling decisions
• Is viewed as a dependable contributor by analysts and peers

Why Planet

Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need.

Come and grow your career in the most exciting, fast paced technology market, with a business that delivers feel-good connected commerce. We would love to hear from you – Apply now.

At Planet, we embrace a hybrid work model, with three days a week in the office.

Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.