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Senior GTM Operations Business Intelligence Analyst

Jobgether
Department:Product Owner
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Mid-Senior level
Estimated Salary:£80,000 - £120,000
Skills:
POWER BISQLDAXDATABRICKSKPI DESIGNDATA MODELINGDATA GOVERNANCEGTM PLATFORMSCLARIOUTREACHZOOMINFOHUBSPOT
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Job Description

Posted on: July 27, 2026

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior GTM Operations Business Intelligence Analyst based in United Kingdom. As a Senior GTM Operations Business Intelligence Analyst, you will play a key role in transforming complex Go-to-Market data into trusted insights that drive strategic decision-making. You will own the reporting framework, KPI governance, and analytics requirements across the GTM technology ecosystem, ensuring data consistency and operational excellence. Working closely with operations, engineering, business systems, finance, and commercial teams, you will translate business needs into scalable reporting solutions that support growth. This role combines business analysis, data governance, product ownership, and business intelligence in a collaborative, fast-paced SaaS environment. It is an excellent opportunity for a data-driven professional who enjoys solving complex business challenges while shaping the future of GTM analytics. Accountabilities

  • Own the Go-to-Market reporting framework, including KPI definitions, business logic, reporting standards, and analytics governance.
  • Translate business questions into detailed reporting requirements, user stories, acceptance criteria, data mappings, and process documentation.
  • Act as Product Owner for reporting and analytics initiatives by managing project backlogs, stakeholder alignment, and solution prioritization.
  • Design and oversee scalable Power BI reporting solutions built on governed datasets and standardized business logic.
  • Define data models, reporting structures, KPIs, and visualization standards to support executive decision-making.
  • Establish and maintain governance standards for GTM data across leads, accounts, contacts, opportunities, customer lifecycle, and activity management.
  • Monitor data quality, investigate reporting discrepancies, and resolve business logic or system integration issues through root-cause analysis.
  • Maintain comprehensive documentation covering KPI definitions, reporting requirements, data lineage, transformation logic, and operating procedures.
  • Collaborate with Revenue Operations, Marketing Operations, Customer Operations, Finance, Business Systems, and Data Engineering teams to ensure reliable end-to-end data flows.
  • Evaluate and support the adoption of AI-powered tools and automation initiatives to enhance GTM reporting and operational efficiency.

Requirements

  • At least 7 years of experience in Revenue Operations, Sales Operations, Marketing Operations, Business Intelligence, or similar GTM-focused roles within a SaaS environment.
  • Minimum of 5 years of experience designing, developing, and maintaining automated Power BI dashboards.
  • Strong expertise in SQL, DAX, Databricks, Power BI, and enterprise reporting environments.
  • Deep understanding of KPI design, dimensional data modeling, reporting governance, data lineage, and analytics best practices.
  • Strong knowledge of Go-to-Market operational processes, including demand generation, pipeline management, forecasting, opportunity management, customer lifecycle, retention, and executive reporting.
  • Proven experience gathering business requirements and producing detailed documentation, including user stories, acceptance criteria, source-to-target mappings, and reporting specifications.
  • Excellent analytical, problem-solving, and stakeholder management skills with the ability to prioritize multiple initiatives.
  • Experience working with cross-functional teams to deliver scalable business intelligence solutions.
  • Familiarity with AI and automation technologies, as well as GTM platforms such as Clari, Outreach, ZoomInfo, HubSpot, or similar solutions, is considered an advantage.
  • Knowledge of data privacy and governance principles is a plus.

Benefits

  • Competitive salary with performance-based bonus opportunities.
  • Comprehensive benefits package designed to support employee wellbeing.
  • Generous paid time off and company holidays.
  • Flexible working arrangements that promote work-life balance.
  • Opportunity to work with modern analytics technologies and AI-driven initiatives.
  • Collaborative, inclusive, and innovation-focused work environment.
  • Career development and continuous learning opportunities.
  • Exposure to high-impact strategic projects supporting business growth across global Go-to-Market operations.

How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Originally posted on LinkedIn

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