Sr. GTM Analytics Analyst

Our Mission: Our mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. A Senior GTM Analytics Analyst is responsible for planning, ideation and execution of novel analytics long term projects - leads high-value, cross-functional analytics initiatives and works closely with leadership to develop 6sense’s data assets. They are also responsible for development of customer data, product and usage data, and development of 6sense data-assets, alongside managing stakeholder relationships for a product area Responsibilities Accountabilities : Collaborate with leadership to design state-of-the-art analytics processes for your team Manage cross-functional projects, including defining success criteria, recruiting stakeholders across 6sense, and clarifying steps necessary for success Conceptualize and build the tools and infrastructure behind our data platform and analytics Explore and analyze big data from a variety of sources; first party, third party and product usage to name a few Build and iterate on dashboards that inform stakeholders across product, engineering, sales and customer support teams. Conduct in-depth analysis that tell the story of how our products are being used and identify improvements Design and instrument KPIs with product managers, product leaders, engineers and other data analysts Create compelling presentations with actionable recommendations Share your insights across the team and company, from your team members up to the executive staff Build robust multi aggregation data transformation pipelines that process billions of records across thousands of customers Ensure that these pipelines operate under a defined engineering framework Performance Measurement : Drive impactful analytical initiatives within the assigned feature area or product teams, delivering insights that support product and business decisions. Maintain thorough documentation of analytical processes, insights, and methodologies, and contribute to improving operational processes for efficiency and transparency. Conceptualize and execute medium-term, high-value analytical projects , ensuring alignment with business objectives and cross-functional collaboration. Identify opportunities to enhance team efficiency and collaboration , ensuring smooth stakeholder communication and alignment on deliverables. Provide timely communication of insights and recommendations , and stakeholder requests Behaviors : Strong attention to detail and commitment to data accuracy across all work products Excellent communication skills — able to convey technical concepts clearly to non-technical stakeholders and executives Customer-centric mindset with a genuine drive to deliver insights that move the needle Critical thinking and structured problem-solving; uses data to drive decisions, not just describe them Collaborative by default, but confident in pushing back on ill-defined asks and advocating for the right analytical approach Technical Proficiencies : Expert-level SQL — complex transformations, performance tuning, large-scale data manipulation Experience with modern data stack tooling — dbt, Airflow, Spark, Snowflake/BigQuery/Databricks, or equivalent Familiarity with BI tools (Looker, Tableau, Metabase, or similar) and data modeling best practices Solid grasp of data architecture, ETL/ELT design, and pipeline reliability p ... (truncated, view full listing at source)