Sr. Analytics Engineer

Our Mission: 6sense is on a mission to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. 6sense Revenue AI is the only sales and marketing platform to unlock the ability to create, manage and convert high-quality pipeline to revenue. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Accountability, Growth Mindset, Integrity, Fun and One Team. 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. 6sense is a data-centric product and as a member of the CoreData Analytics organization, the Analytics Engineers serve as the backbone of data enablement, data development and data democratization to continually strengthen and ensure the 6sense data-moat’s competitive advantage. A Senior Analytics Engineer 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 : Lead cross-functional initiatives end-to-end: scope, execution, milestones, risks, communication, and measurable outcomes aligned to core data strategy Design measurable and actionable KPIs and metrics that empower product teams to understand the health and performance of proprietary data assets powering 6sense applications Think beyond dashboards : enabling agentic, self-serve BI experiences that democratize data-driven decision-making Enable self-serve analytics through documentation, lineage, data discovery, and stakeholder enablement for product and GTM teams Build internal tooling and automation using APIs and agentic workflows (e.g., Bedrock, Windsurf) to accelerate development, debugging, and data operations Leverage agentic tools (Copilot, Hex, Windsurf, etc.) to standardize analytics engineering workflows (code generation with guardrails, test creation, documentation) and improve team throughput Design, build, and own scalable analytics pipelines that reliably process billions of rows with strong performance, quality, and SLAs Own partner/provider data evaluation by defining benchmarking frameworks (coverage, accuracy, freshness, and cost), and collaborate with Product and Engineering to build efficient, resilient ingestion pipelines Partner with Data Platform/Engineering to improve performance and cost efficiency through query optimization and warehouse best practices Collaborate with leadership to design state-of-the-art analytics processes for your team Synthesize and communicate insights across the company, tailoring the message from ICs to executive leadership to drive decisions. Socialize insights broadly and effectively - from team forums to executive readouts, ensuring learnings translate into measurable action. 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 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 o ... (truncated, view full listing at source)