Technology and Data Specialist (Marketing)
Role details
Job location
Tech stack
Job description
The Marketing Operations and Technology Team provides platforms, people, and processes necessary for Global Marketing to plan, execute, and optimize global integrated campaigns at scale and accelerate visitors through stages of the buying cycle. We are looking for a curious, self-motivated superstar to support the enablement of our analytical platforms that fuel our marketing initiatives. We're looking for a solution driven data architect who can go beyond simple tracking and reporting. You will facilitate collaboration across many stakeholders to ensure reporting requirements are met. If you are passionate about delivering best in class data solutions architecture that facilitates customer journey growth and analysis, we want to hear from you., Develop infrastructure to deliver actionable insights: Solution across multiple tool sets. including Adobe Analytics, GA4, Salesforce, and BigQuery. Leverage multipoint architecture to deliver robust dashboards to drive customer journey insights and segment creation for personalization activities. Stitch & synthesize data: Query, extract, and blend large datasets from multiple sources including our web analytics platform, BI database, CRM, and marketing automation platforms. Champion data-driven culture: Advocate for data literacy within the marketing organization, proactively sharing insights in internal communication forums and helping stakeholders ask the right questions. Govern tag management: Implement tracking across our TMS platforms: Zaraz, GTM, Adobe Launch Pixel governance and management: Deliver requirements to marketing engineering teams for pixel deployment. Audit properties for pixel counts and relevance.
Requirements
6+ years experience working in a large B2B, D2C, SaaS, or enterprise cloud company 5+ years of experience in a data analytics role, preferably within marketing, web analytics, or product analytics 5+ years experience implementing data analytics tracking systems. Deep, hands-on experience with at least one enterprise-level web analytics platform (e.g., Adobe Analytics, Google Analytics 4, etc.) in a very high web traffic environment Experience with A/B/n testing implementations Experience with data warehouses like BigQuery, Snowflake or similar Proficiency in SQL for querying complex, large-scale datasets Knowledge of statistical programming languages, such as Python or R is a plus Familiarity with analyzing data from CRM (e.g., Salesforce) and Marketing Automation (e.g., Marketo) platforms to create a full-funnel view Proven expertise in creating impactful dashboards and data visualizations using tools like Tableau, Looker Studio, etc Exceptional communication and storytelling skills, with the ability to translate analytical findings into clear, concise, and actionable recommendations Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics) or equivalent practical experience is preferred