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Data publikacji: 14.08.2026
Analytics Engineering at Mollie is a craft we take seriously. As Analytics Engineering Manager for RevOps, you sit at the intersection of people leadership and technical craft, responsible for both the growth of the Analytics Engineers you manage and the quality of the work they produce. You will lead a team of approximately six direct reports, spanning the RevOps domain and analysts in adjacent domains such Planning & Analysis and Mollie Connect, making sure the craft is well represented and well applied across all of them. The RevOps domain is central to how Mollie understands and demonstrates its commercial performance. You will own the domain metrics together with your team, ensuring that what gets measured actually gets used, and that stakeholders across the business can see the impact of the work being done. Beyond the domain itself, you will help shape how Analytics Engineering as a craft evolves at Mollie, setting standards, improving ways of working, and making sure the teams you support know how to get the most out of the craft. This is a role for someone who is equally comfortable coaching a direct report through a tricky career conversation and reviewing a dbt model for quality. You will partner closely with accountable leads on planning and roadmaps, advocate for the craft with non-technical stakeholders, and drive initiatives that raise the bar across the whole Analytics Engineering community at Mollie.
Responsibilities
Lead a team of approximately six direct reports spanning the RevOps domain and adjacent domains such as Planning & Analysis and Mollie Connect; Own the RevOps domain metrics together with your team, ensuring that what gets measured actually gets used; Help shape how Analytics Engineering as a craft evolves at Mollie, setting standards, improving ways of working; Partner closely with accountable leads on planning and roadmaps; Advocate for the craft with non-technical stakeholders; Drive initiatives that raise the bar across the Analytics Engineering community; Deliver a consistent, high-quality Analytics Engineering practice across the RevOps domain and supported adjacent teams; Structure performance management cycles for direct reports including feedback, reviews, and development goals; Improve how Analytics Engineers work across teams through tooling, best practices, knowledge sharing, and onboarding; Support a planning and prioritisation process for Analytics Engineering work; Coach, mentor, and provide learning opportunities tailored to team members' goalsRequirements
At least five years of experience in an analytics or analytics engineering environment, with a background in a quantitative discipline such as mathematics, engineering, econometrics, or a related field; Experience leading or managing analytics engineers or analysts, with a track record of supporting people through feedback, development conversations, and performance cycles, and a genuine interest in helping others grow; The ability to partner effectively with commercial teams such as sales, marketing, and revenue operations, translating between what the business needs and what the craft can deliver; Solid hands-on experience with SQL and a cloud data warehouse, with the ability to review and contribute to technical work directly; Practical experience with dbt or an equivalent data modelling tool, and a clear understanding of what good data modelling looks like in practice; Familiarity with a BI tool that includes a semantic layer, such as Looker or similar, and an understanding of how these tools connect to downstream business use casesBenefits
20 days working from abroad; Wellbeing Budget of €60 per month net; Lifestyle and Health Support via OpenUp; 26 holiday days plus an extra 2 days off between 27 and 31 December; Commute options including NS Business Card and bike lease plan; Birthday off; WFH Equipment Budget of €400 one-off; Hybrid working with WFH & Internet allowance at €60 per month; Discounted Lunch; Health Insurance with ONVZ or €125 net towards your own insurance; Annual Mollieverse eventJak aplikować
Aplikuj online: https://www.jobs.pl/oferta/100316056/aplikuj
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