Job Description

• Reports to Director of Marketing Analytics  

• No direct reports  

• Remote: US, Europe, India 

• Must be proficient in English (speaking, writing, presentation) 

• Design, develop, and implement a robust, scalable data architecture that integrates data from ad platforms (Google Ads, LinkedIn, Meta), multiple CRM instances (Salesforce), marketing automation (Pardot/Marketing Cloud), Website (GA4), and finance systems into a central data warehouse (Fabric/Azure Synapse Workspace), enabling a single source of truth for marketing performance analytics. 
• Build and optimize data models that connect different data sources and show a more integrated view of the buying journey, supporting reliable channel / campaign multi-touch attribution, ROI analysis, and predictive analytics.  
• Implement data governance practices, ensuring accuracy, completeness, and compliance with company’s privacy rules.  
• Partner with Finance analyst to automate marketing spend categorization and revenue reconciliation to power ROI and CAC reporting.  
• Collaborate with analysts in Marketing and Sales Ops to provide clean, well-structured datasets for dashboards and advanced modeling (e.g. attribution models, churn prediction, funnel optimization).  
• Monitor data pipelines for performance and proactively address quality issues before they impact stakeholders, interacting with IT partners when necessary.  

• Leverage the built data models to design, develop, and maintain marketing dashboards in BI tools (Salesforce, Looker Studio, Power BI) to track pipeline health, channel performance, and ROI.  
• Collaborate with CRM, Finance, Web Analytics, and Sales Ops teams to combine data from Salesforce, marketing automation, Finance, and digital platforms into unified dashboards.  
• Support the creation of standardized visual templates for executive reporting and board presentations.  
• Apply UX principles to ensure dashboards are intuitive, interactive, and actionable for stakeholders across Marketing, countries, and the Leadership team.  
• Build documentation that helps to train business users on self-serve dashboard access and interpretation of key B2B metrics (pipeline, funnel conversion, campaign ROI and more).  
• Continuously improve visualizations by gathering stakeholder feedback and implementing enhancements  

• Bachelor’s degree in Business, Information Technology, Data Science, Computer Science, or related field.   
• 4+ years in data engineering with a focus on marketing or revenue operations and dashboard development for B2B organizations.  
• Proficiency in SQL and at least one ETL/ELT framework (Azure, dbt, Airflow, Fivetran, Stitch, etc.).  
• Strong understanding of B2B marketing data structures—CRM objects, campaign hierarchies, opportunity stages, GA4, and ad platform APIs.  
• Experience with cloud data warehouses and version control.  
• Collaborative mindset to work with marketers, analysts, and finance partners in a matrix environment.  
• Advanced skills in one or more BI tools (PowerBI required)  
• Eye for design and storytelling to help communicate complex funnel metrics clearly.  
• Passion for enabling teams to make data-driven decisions quickly and confidently.  
• Excellent analytical skills with the ability to interpret complex data sets.   
• Strong problem-solving skills and attention to detail.   
• Effective communication skills with the ability to present technical information to non-technical stakeholders.   
• Ability to work independently and collaboratively in a fast-paced environment.