Data Analyst - London

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Analyst - London London | Hybrid | Remote WHAT WE'RE LOOKING FOR Are you curious about how things work and motivated by uncovering insights hidden in data? As a Data Analyst 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 - 2-6 years of experience in analytics, data, or operations (internships count) - Strong SQL skills for

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