Skills this job asks for
A/B testingSQLPythonSnowflakedbtGitCommunicationMachine learningLookerSpanishEnglish
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Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Can’t check pay against the visa rules
- No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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About the role
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
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