Platform Analytics Engineer
This listing is for a Platform Analytics Engineer role at Arq, in London, United Kingdom. The listing describes it as a full-time position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
This listing is for a Platform Analytics Engineer role at Arq, in London, United Kingdom. The listing describes it as a full-time position.
From the advert, the main requirements are 2 to 5 years of experience and Spanish and Portuguese language skills.
The advert mentions dbt and Looker among the skills and tools for this role.
The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.
Benefits mentioned in the advert: equity or stock options and bonus.
Visa sponsorship is not mentioned. Applicants from outside United Kingdom should check the official work permit route before applying.
Dev Global Jobs found this job on Arbeitnow on Nov 5, 2026.
- Employer
- Arq
- Location
- London, United Kingdom
- Job type
- Full-time
- Pay
- Not stated by the employer
- Experience asked
- 2 to 5 years
- Languages asked
- Spanish and Portuguese
- Found
- Nov 5, 2026 on Arbeitnow
- Employer text
- 447 words, about 2 min to read
- Apply only on the official page (arbeitnow.co.uk). Dev Global Jobs is not the employer and never asks for a fee.
- Compare your own experience with the 2 to 5 years the advert asks for, and show it clearly near the top of your CV.
- Mirror the skills the advert names (dbt and Looker) in your CV where you really have them; applicant tracking systems look for these words.
- Say your level in Spanish and Portuguese plainly (for example B2 or C1).
- Read the employer’s full text below (about 2 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for United Kingdom (ICSC post adjustment 76.4), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Skilled Worker visa: Job offer from a licensed sponsor at the required skill and salary level; English requirement
- Health and Care Worker visa: Eligible health and social care roles with a licensed sponsor
- Global Talent visa: Endorsement as a leader or potential leader in a listed field
Official routes: UK Visas and Immigration (GOV.UK)
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
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 doingExplore 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.
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.
01Nice 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.
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
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