Marketing Analytics Specialist

Role Overview: As a Marketing Analytics Specialist at Trimble, you will play a crucial role in supporting the Trimble Demand Generation Teams by defining and implementing a clear vision for Marketing analytics. Your responsibilities will include building the technical foundation and analytics framework to support Marketing and Publishing initiatives, optimizing processes, and aligning data strategies with broader business goals. Key Responsibilities: - Define, develop, and implement the technical foundation and analytics framework for Marketing and Publishing initiatives, including stakeholder collaboration, process optimization, and data strategy alignment. - Collaborate with cross-functional teams to define data requirements, objectives, and key performance indicators (KPIs) for user acquisition campaigns, app store, or broader publishing strategies. - Work with the Marketing Operations team to create and implement data collection strategies for capturing key marketing data from various sources. - Develop and maintain data models & dashboards to organize and visualize marketing data, providing actionable insights to stakeholders. - Conduct in-depth analysis of user acquisition campaigns, including cohort analysis, attribution modeling, and A/B testing, to identify trends and opportunities for optimization. - Perform data modeling for predicting and analyzing Lifetime Value (LTV). - Provide guidance, mentorship, and training to junior analysts to foster a culture of data-driven decision-making and continuous improvement. - Stay updated about industry trends, best practices, and emerging technologies in marketing analytics and user acquisition to incorporate new techniques and tools. Qualifications Required: - 2-3 years of proven experience in marketing analytics, focusing on customer acquisition in B2B and B2C industries. - Proficiency in developing visually compelling and insightful dashboards and scorecards within Domo to track key marketing performance indicators (KPIs). - Ability to translate complex marketing data into easily understandable and actionable insights through data visualization best practices. - Strong analytical skills with proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar platforms. - High proficiency in statistical analysis and data visualization tools like Domo, Salesforce, or Looker. - Excellent communication and collaboration skills to work effectively across teams and influence stakeholders. - Strong project management skills to handle multiple priorities and deadlines in a fast-paced environment. - Experience in mentoring and guiding analysts. (Note: Additional details about the company were not provided in the JD.),