Level Access - Senior GTM Operations Business Intelligence Analyst
Requirements
• 7+ years of experience in Revenue Operations, Sales Operations, Marketing Operations, etc. operations in a SaaS or GTM-focused environment. • 5+ years of experience building and maintaining automated dashboards in PowerBI • Strong working knowledge of SQL, DAX, Databricks, and enterprise reporting environments • Deep understanding of KPI design, dimensional modeling concepts, reporting governance, and data lineage. • Deep understanding of GTM operational processes and metrics across demand generation, pipeline management, forecasting, opportunity management, customer lifecycle, retention, and executive performance reporting. • Proven ability to prioritize competing stakeholder requests and influence decisions through data, business impact analysis, and structured governance processes. • Strong experience writing detailed business requirements, acceptance criteria, data mappings, source-to-target documentation, and reporting specifications. • Preferred: Experience with AI/automation tools; data privacy compliance; working knowledge of Clari, Outreach, ZoomInfo, Hubspot and similar GTM tools • Preferred • Application Process • Application Process • If you thrive in a fast‑paced environment and you are eager to make a significant impact in the field of accessibility, we would love to hear from you! • This is a full‑time, salaried position offering a competitive benefits package, including bonus opportunities, generous paid time off, paid holidays, and a range of programs designed to support employee well‑being and work‑life balance.
Responsibilities
• Analytics Product Ownership & Requirements Management • Translate business reporting and analytics needs into clear, actionable requirements, including user stories, acceptance criteria, KPI definitions, data mappings, and process flows. • Partner with GTM Operations, Business Systems, and Data Engineering teams to prioritize reporting initiatives and ensure solutions meet business requirements. • Serve as Product Owner for GTM reporting and analytics initiatives, managing backlogs, prioritization, and stakeholder alignment. • Document and maintain reporting logic, end-to-end data flows, business processes, and system dependencies across source systems, Databricks, and Power BI. • Data Ownership & Governance • Define and enforce governance standards for GTM data across accounts, contacts, leads, opportunities, and activities. • Own the GTM metrics framework, including KPI definitions, calculation methodologies, dimensional structures, and reporting standards. • Establish authoritative data sources, metric ownership, lineage, transformation logic, and reporting certification. • Monitor data quality and resolve reporting, business logic, and system integration issues through root-cause analysis. • Maintain analytics documentation, including KPI definitions, business rules, data mappings, reporting requirements, and operating procedures. • Reporting & Analysis Continuity • Design and oversee scalable Power BI solutions built on curated Databricks datasets and governed business logic. • Define reporting requirements, data models, measures, KPIs, and visualization standards to support executive decision-making. • Validate data, calculations, and KPI consistency across source systems, Databricks, and reporting platforms. • Support executive reporting and business reviews with trusted, actionable GTM insights. • Ensure reporting solutions align with approved business definitions, documented requirements, and governed data sources. • Advance AI adoption across GTM Operations by evaluating, piloting, and scaling AI-driven tools and processes. • Cross-Functional Partnership • Collaborate with RevOps, Marketing Ops, Cx Ops Finance, Business systems to align strategy, data flows, and reporting dependencies. • Ensure end-to-end from Lead to Renewal data flows cleanly and are productionized for platform stability. • Collect stakeholder feedback, assess impact, prioritize enhancement requests, and recommend roadmap sequencing based on business value and resource constraints.
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