Platform Analytics Engineer

ARQ

. Investigate user behavior, performance trends, and key metrics to uncover what’s driving changes .

Posted 11/4/2026full-timeLondon • United KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical skills with proficiency in SQL and Python for data manipulation and automation. Capable of translating complex data insights into actionable recommendations while maintaining clear documentation and fostering collaboration within a data-driven environment.

Highest-signal resume keywords

Strong SQL SkillsBasic Python ScriptingExperience with BI ToolsFamiliarity with dbtSTEM Degree Preferred

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisData ManipulationAutomated ReportingKey Performance IndicatorsModeling TasksStructured ExperimentsData VisualizationSQL QueryingPython ScriptingAnalytical Methodologies

Soft Skills

Analytical CuriosityStructured Problem SolvingGood Communication SkillsInitiativeMentorship

Tools & Technologies

SnowflakeBigQueryDbtGitMetabaseLooker

Industry Keywords

FintechData-Driven Decision-MakingMachine Learning ConceptsFraud AnalyticsFinancial AnalyticsProduct Analytics

Tech Stack

Tools & technologies

BigQueryPythonSnowflakeSQL

About the role

Key responsibilities & impact

Investigate user behavior, performance trends, and key metrics to uncover what’s driving changes
Spot unusual patterns or spikes and help the team understand their root causes
Build and maintain dashboards and automated reports
Translate analytical findings into clear recommendations for product and operational improvements
Help define and refine key performance indicators for the business and customer experience
Keep analyses, methodologies, and assumptions well-documented and reproducible
Contribute to basic modeling tasks and structured experiments under guidance from senior analysts or data scientists
Expand analytical capabilities and develop product sense through real-world problem solving and mentorship

Requirements

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.
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

Comp & perks

Competitive salary and benefits
Stock options
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