Head of Analytics Engineering

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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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

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Head of Analytics Engineering UK, Portugal, Dublin What do we do? Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we're a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It's faster, safer, cheaper, and, above all, way better. We're backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 5000 software sellers in 245 territories globally. The role: As an Analytics Engineering Manager, you'll lead a dynamic team, working closely with various business units to translate complex business requirements into actionable data solutions. You will play a critical role in communicating analytics insights clearly and with impact, enabling data-driven decision-making across the organization. Collaboration with Sales, Marketing, Finance, Product Managers, and Engineering teams will be essential to align analytics solutions seamlessly with business objectives and technical capabilities. What you'll do: Leadership & Strategy - Define and own the multi-year technical vision and strategy for Analytics Engineering, ensuring alignment with Paddle's product and business objectives. - Lead, coach, and develop a team of Senior Analytics Engineers, fostering a high-performing, inclusive, and growth-oriented culture. - Act as a force multiplier across the group: identifying and removing structural blockers, elevating engineering standards, and scaling delivery capacity. - Drive and champion best practices in analytics engineering, data modelling, data governance, and operational excellence across all teams. Stakeholder Management - Serve as the

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