Senior Marketing Data Analyst

About the role

As a Senior Data Analyst focusing on our Acquisition segment, you will enable our Marketing team to make data-driven decisions. You will monitor, measure and analyse the effectiveness of your marketing teams' initiatives, as well as help drive the strategy of your stakeholder teams. You are here to establish a data-mindset and thereby to foster a culture of continuous learning and improvement. You will work in a cross functional setup, working closely with other analysts, engineers, scientists and marketing managers. In this role, you will: Lead Acquisition Measurement: own the Acquisition Marketing Measurement domain roadmap and prioritisation with stakeholders from both Business and Technical backgrounds. Act as a Partner to Marketing Stakeholders: be the internal go-to-person for the acquisition Marketing teams (incl. Paid Media, Marketing Strategy, Friend Referral, Product Marketing) for measurement strategy and data related questions. Collaborate with Senior Leadership: advising on Measurement techniques, evaluating and presenting results or complexity analysis on a strategic level, helping to steer business decisions that drive overall company success. Drive Marketing Science initiatives: act as the Analytics focal point on Marketing Mix Model (in collaboration with Data Science & Analytics Engineering); increase adoption of Customer Lifetime Value by Marketing Acquisition channels; own the Acquisition Marketing Test & Learn workstream end-to-end, from experiments design to analysis and share-out. Build scalable, reliable, and self-serve resources: Enrich analytics foundations through Measurement Frameworks, scalable Data Modeling lineage, and design (and maintain) Analytics dashboards that allow Marketing Teams to interact with data to monitor channel and campaigns performance and extract the right insights themselves. Enrich knowledge base and drive data literacy: proactively contribute to the company knowledge base (e.g documenting insights, researches, data models, and data products), enable and share knowledge with stakeholders and team members, and proactively create or enrich documentation pieces that drive analytics maturity and business continuity. Contribute to OKRs and goals definitions: develop clear and measurable targets based on an initiatives' scope. Be part of our data-community: Collaborate with a broad range of analytics teams at N26 (incl. Marketing, Business, Product, Finance, and Operations) and utilise our shared platforms, insights and innovations. What you need to be successful: Background: 5+ years of experience, within the Marketing or Product Analytics field, ideally with a focus on Acquisition Strategies and Effectiveness Measurement Proven success in partnering with both Technical and Business stakeholders to drive improvements on analytics maturity, strategic initiatives, and data-driven decisions Solid experience contributing to 1. Marketing Mix Modeling and 2. Driving Experiments Design, Implementation and Analysis is a must Previous experience in high growth startups managing topics like Marketing Acquisition, Brand Marketing measurement, Strategy, Conversion Rate Optimization would be a plus. Previous experience in Fintech environment would be a plus N26 has reimagined banking for today's digital wor

Requirements

• Strong expertise on of statistical methods used in the analysis of experimental (i.e. hypothesis testing) and observational data in the context of Marketing and/or Acquisition strategy
• Highly experienced with SQL and Python/R for data cleaning, data modeling, and data analysis - always applying clean code practices and strong documentation for reproducibility
• Strong data storytelling and visualisation skills for presentations, reports, and analytics dashboard building (e.g. Tableau, Looker, Metabase, Superset, etc)
• Excellent communication skills when translating complex analysis and technical topics to non-technical audiences - e.g. Marketing Channel Leads and CMO
• Highly knowledgeable on Marketing topics like audience segmentation, targeting, and marketing data enrichment (i.e. Tracking & Naming Conventions), with a track record of improving Marketing performance

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