Platform Analytics Engineer

ARQ; Greater London; Presencial; GBP 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary and benefits

Stock options

Discretionary performance bonus

Latest tools and technology

World-class team

Opportunity to help build leading Finт

Office policy: 3-4 days in-office

Descripción de la vacante

ARQ is seeking a Platform Analytics Engineer to investigate data, build dashboards, and tell data-driven stories that guide product and operations in a fast-paced fintech environment.

You will explore behavior and performance, design KPIs, and contribute to modeling and experiments while learning from senior analysts. This role emphasizes robust reporting, governance, and continuous improvement within a collaborative team.

Formación

• 2-5 years of experience in analytics, data, or operations (internships count)
• Strong SQL skills for querying and exploring datasets
• Comfortable reading code and writing basic Python scripts for data manipulation, automation, and analysis
• Experience contributing to a shared analytics codebase or modern data stack (e.g., Snowflake/BigQuery + dbt + Git workflow)
• Analytical curiosity and a structured approach to problem solving
• Good communication skills - able to explain insights clearly and visually
• Initiative to automate repetitive tasks and improve reporting workflows
• Interest in fintech, data-driven decision-making, and machine learning concepts
• Ambitious, high-potential mindset with evidence of strong achievement, fast progression, or outstanding academic/professional performance.

Responsabilidades

• Explore and Analyze Data: Investigate user behavior, performance trends, and key metrics to uncover drivers.
• Identify Anomalies and Opportunities: Spot unusual patterns or spikes and explain root causes.
• Reporting & Automation: Build and maintain dashboards and automated reports for accessible data.
• Decision Support: Translate findings into clear recommendations for product and operations improvements.
• Metric Design: Define and refine KPIs that matter for business and customer experience.
• Documentation: Keep analyses, methodologies, and assumptions well-documented and reproducible.
• Modeling & Experimentation: Contribute to basic modeling tasks and structured experiments under guidance.
• Continuous Learning: Expand your analytical toolkit and grow product sense through mentorship.

Conocimientos

SQL

Python

Analytics

Data manipulation

Automation

Communication

Problem solving

Git workflow

Educación

STEM degree

Herramientas

dbt

Git workflow

Snowflake/BigQuery

Metabase/Looker

Descripción del empleo

What we're looking for

Are you curious about how things work and motivated by uncovering insights hidden in data?
As a Platform Analytics Engineer at ARQ, you’ll help us understand our business, customers, and operations through rigorous analysis and thoughtful storytelling. You’ll explore data, detect patterns, and build the foundations for decisions that shape the future of our products and company.

This is a role for someone who wants to grow - learning how data drives product, financial, and strategic decisions in a fast-paced fintech environment.

What you'll be doing

• Explore and Analyze Data: Investigate user behavior, performance trends, and key metrics to uncover what’s driving changes.

• Identify Anomalies and Opportunities: Spot unusual patterns or spikes and help the team understand their root causes.

• Reporting & Automation: Build and maintain dashboards and automated reports that make data accessible and reliable.

• Decision Support: Translate analytical findings into clear recommendations for product and operational improvements.

• Metric Design: Help define and refine the KPIs that matter most for our business and customer experience.

• Documentation: Keep analyses, methodologies, and assumptions well-documented and reproducible.

• Modeling & Experimentation: Contribute to basic modeling tasks and structured experiments under guidance from senior analysts or data scientists.

• Continuous Learning: Expand your analytical toolkit and develop product sense through real-world problem solving and mentorship.

What you'll need

• 2-5 years of experience in analytics, data, or operations (internships count)

• Strong SQL skills for querying and exploring datasets

• Comfortable reading code and writing basic Python scripts for data manipulation, automation, and analysis

• Experience contributing to a shared analytics codebase or modern data stack (e.g., Snowflake/BigQuery + dbt + Git workflow)

• Analytical curiosity and a structured approach to problem solving

• Good communication skills - able to explain insights clearly and visually

• Initiative to automate repetitive tasks and improve reporting workflows

• Interest in fintech, data-driven decision-making, and machine learning concepts

• Ambitious, high-potential mindset with evidence of strong achievement, fast progression, or outstanding academic/professional performance.

Nice to have

• STEM degree preferred (e.g., Mathematics, Computer Science, Engineering, Physics, Economics, or related fields)

• Experience with BI or visualization tools (Metabase, Looker, etc.)

• Familiarity with dbt for building and maintaining data models, writing tests, and managing transformations

• Exposure to fraud, financial, or product analytics (any domain welcome)

• Spanish/Portuguese proficiency for internal and external communications.

Benefits

• Competitive salary and benefits

• Stock options, so you own part of what you build

• Discretionary performance bonus

• The latest tools and technology

• A world-class team that will challenge and grow your skills

• The opportunity to help build the best fintech app in Latin America

• Office Policy: 3-4 days a week in-office