[Hiring] Global Marketing Analytics Developer @Joyful Craftsmen AG

Role Description

We are looking for a Global Marketing Analytics Developer to strengthen the analytics capabilities of our Global Go-To-Market team. In this role, you will help connect marketing and sales data, build reliable data pipelines and integrations, and develop dashboards that turn complex data into actionable business insights.

• Track and analyze global and regional marketing campaign performance across the full funnel, from initial engagement and MQLs to SQLs, pipeline generation, and closed-won revenue.
• Support multi-touch and account-level attribution to measure the impact of marketing channels and campaigns on pipeline and revenue.
• Develop and maintain KPI reports and dashboards covering conversion rates, pipeline generated and influenced, cost per MQL, and marketing ROI.
• Build, deploy, and maintain automated data pipelines using Microsoft Azure Data Factory (ADF) to integrate and transform data from multiple sources.
• Develop and maintain REST API integrations between Azure and marketing platforms such as Salesforce, HubSpot, Google Analytics 4, and LinkedIn Ads.
• Write and optimize complex SQL queries, stored procedures, and data models to support reliable reporting and analytics.
• Use Python to automate data extraction, transformation, validation, and processing.
• Develop interactive, data-driven analytics dashboards and web applications using React.js, and implement backend functionality and integrations using Node.js.
• Maintain data quality and consistency across CRM, marketing automation, and reporting systems.
• Use Git and Azure DevOps to manage version control, CI/CD pipelines, and deployment processes.
• Translate analytical findings into clear, actionable insights for global and regional marketing stakeholders.

Qualifications

• At least 3 years of experience in marketing analytics, marketing development, marketing operations, reporting, or a related technical role, ideally within a global or multi-region organization.
• Hands-on experience with Microsoft Azure Data Factory (ADF), including developing, deploying, and maintaining automated data pipelines.
• Strong SQL skills, including complex queries, stored procedures, data modelling, and performance optimization.
• Strong Python development skills for data extraction, transformation, validation, and automation.
• Experience developing REST API integrations between data platforms and marketing or CRM systems.
• Familiarity with Azure DevOps, Git, version control, CI/CD pipelines, and deployment processes.
• Experience with JavaScript and React.js for developing interactive, data-driven web applications and analytics dashboards.
• Experience with Node.js for backend development, REST API integrations, and data processing.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
• Understanding of marketing funnel metrics, campaign attribution, and pipeline and revenue analytics.
• Strong communication skills and the ability to collaborate with technical and non-technical stakeholders across global teams.

Requirements

• This freelance engagement offers a clear 7-month commitment at 40 hours per week, allowing you to focus on high-impact data deliverables.

Company Description

For over 10 years, Joyful Craftsmen has been a trusted partner globally, empowering organizations to unlock the full potential of their data. Known for our technological expertise, while primarily serving clients across Europe, we are equipped to collaborate with companies worldwide through remote solutions, helping businesses turn data into a strategic asset.

• Data & AI Strategy: Aligning data initiatives with your business objectives.
• Artificial Intelligence: Providing predictive and prescriptive insights to drive innovation.
• Business Intelligence: Offering dynamic, real-time tools for effective decision-making.
• Data & AI Platform: Building robust and scalable data infrastructures.
• Data & AI Governance & Management: Ensuring high-quality, compliant, and secure data practices.
• Data & AI Security: Protecting your data with top-tier security solutions.