Key Responsibilities 

• Data & Reporting 
• Build and enhance dashboards tracking KPIs such as campaign adoption, engagement, conversion, and pipeline contribution specific for our indirect channel 
• Refine reporting to deliver meaningful, channel-specific insights
• Building/maintaining Partner Marketing Data Hub for partners 

• Insights & Impact 
• Translate data into actionable recommendations for: 
• Campaign Development needs 
• Partner Marketing follow up 
• Partner level recommendations 
• Identify high-performing industries, segments, accounts for partners
• Surface gaps in campaigns or coverage and influence new campaign development or optimization 

• Hypothesis-Driven Thinking 

• Actively explore data to answer: “What is this telling us, and what should we do differently?” 
• Identify and prioritize high-impact opportunities from analysis that can be used by both GFM execution teams to close the gap, or information directly for the partners to continue to develop opportunities. 
• Develop hypotheses, validate through analysis and 
• Bring forward recommendation and proposals, for teams to act upon 

• Data Integration 

• Identify opportunities to connect data streams in new ways to enable better insights, activation, or campaign creation (e.g., marketing hubs, CRM, Highspot, CBA, campaign tools, and Siemens GPT) 

• Improve data visibility and enable more scalable, data-driven execution 

• Advanced Analytics  

• Introduce predictive insights (e.g., partner performance, campaign recommendations) 

• Enable automated insights like trend and anomaly detection 

• Focus on practical, high-impact analytics, not complex custom AI builds 

• Partner & Process Understanding 
• Engage with stakeholders and partners to understand how data is created, used, and experienced in real workflows
• Use this context to improve data quality, reporting accuracy, and insight relevance
• Combine data analysis with real-world understanding to explain why performance looks the way it does 

• Collaboration 

• Partner with global content, regional marketing, partner enablement, Opportunity Development and analytics teams to drive measurable impact to partner pipeline 

Qualifications 

Required 

• 4+ years of experience in data analytics, business intelligence, or a related field within or supporting B2B marketing 

•  Strong proficiency in BI tools such as Power BI, demonstrated by the ability to architect scalable star schema data models, author advanced DAX and Power Query logic, and implement robust security and governance protocols to deliver automated, high-performance enterprise insights 

• Strong dashboarding and data visualization storytelling skills 

• Proficiency in SQL and working with large data sets 

• Experience building dashboards and delivering business insights 

• Strong communication skills with the ability to explain data to non-technical audiences, visualization of data. 

Preferred 

• Ability to connect data insights to business outcomes and recommendations 

• Experience with predictive analytics or machine learning (Python, R, etc.) 

• Familiarity with marketing, sales, or partner/channel metrics 

• Experience working with tools such as CRM systems, campaign platforms, or content platforms (e.g., Highspot) 

• Experience integrating data across multiple systems 

• Experience working with generative AI tools 

• Mendix experience