Senior GTM Operations Business Intelligence Analyst

Role Overview

This role seeks a Senior GTM Operations Business Intelligence Analyst to be based in Germany. The successful candidate will be pivotal in transforming complex Go-to-Market data into reliable insights that guide strategic decisions. The position involves managing the entire reporting framework, enforcing KPI governance, and overseeing analytics requirements within the GTM technology ecosystem to maintain data accuracy and operational excellence.

Key Responsibilities

• Take full ownership of the Go-to-Market reporting framework, establishing KPI definitions, business logic, reporting standards, and analytics governance.
• Convert business inquiries into comprehensive reporting requirements, detailed user stories, acceptance criteria, data mappings, and clear process documents.
• Function as the Product Owner for reporting and analytics projects by handling project backlogs, aligning stakeholders, and prioritizing solutions.
• Architect and manage scalable Power BI reporting solutions built on well-governed datasets and standardized business logic.
• Define effective data models, reporting frameworks, KPIs, and visualization standards that aid executive-level decision-making.
• Set and uphold governance standards for diverse GTM data, including leads, accounts, contacts, opportunities, customer lifecycle, and activity administration.
• Regularly monitor data quality to identify and resolve discrepancies or system integration problems through detailed root cause analyses.
• Maintain thorough documentation covering KPI definitions, reporting criteria, data flow lineage, transformation rules, and operational procedures.
• Collaborate closely with departments such as Revenue Operations, Marketing Operations, Customer Operations, Finance, Business Systems, and Data Engineering to ensure reliable data end-to-end.
• Assess and promote the implementation of AI-driven tools and automation to improve GTM reporting and operational efficiency.

Candidate Requirements

• A minimum of 7 years experience in Revenue Operations, Sales Operations, Marketing Operations, Business Intelligence, or closely related GTM roles within the SaaS industry.
• At least 5 years hands-on experience in creating, developing, and managing automated Power BI dashboards.
• Proficient in SQL, DAX, Databricks, Power BI, and enterprise-level reporting tools.
• In-depth expertise in KPI crafting, dimensional data modeling, reporting governance, data lineage tracking, and best analytical practices.
• Strong knowledge of Go-to-Market operational workflows such as demand generation, pipeline oversight, forecasting, opportunity handling, customer lifecycle management, retention, and reporting for executives.
• Proven ability to gather detailed business requirements and produce comprehensive documentation including user stories, acceptance standards, source-target mappings, and report technical specifications.
• Excellent skills in analysis, problem-solving, stakeholder engagement, and managing multiple initiatives simultaneously.
• Experience in coordinating cross-functional teams to develop scalable business intelligence solutions.
• Familiarity with AI and automation technologies, as well as GTM tools like Clari, Outreach, ZoomInfo, HubSpot, or similar platforms is advantageous.
• Knowledge of data privacy and governance frameworks is considered a plus.

Benefits and Perks

• Competitive pay structure combined with bonus opportunities tied to performance.
• Comprehensive benefits plan supporting employee health and welfare.
• Ample paid time off and recognition of company holidays.
• Flexible work arrangements fostering a good work-life balance.
• Chance to engage with cutting-edge analytics technologies and AI-centered initiatives.
• A workplace culture that values collaboration, inclusivity, and innovation.
• Continuous opportunities for career advancement and professional development.
• Work on impactful strategic projects influencing global Go-to-Market growth.

Additional Information

This position is posted on behalf of a partner company that handles all applications and subsequent steps. The hiring entity will conduct final candidate selection and manage interviews and assessments. The application process involves AI-supported matching to ensure fair and objective candidate evaluation, but ultimate hiring decisions are made by human recruiters. The recruitment organization complies with data privacy laws including GDPR, and uses AI tools for processing applications without replacing human oversight.