Our Mission:
6sense's 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.
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 on deliverables.
- Provide timely communication of insights and recommendations, on Pager Duty and stakeholder requests.
Competencies and Behaviours :
- Excellent attention to detail, ensuring accuracy in all data-related tasks.
- Curiosity and learning agility : deeply curious about the business and how revenue is generated. Curious and quick to adopt evolving tools and ways of working
- Customer-centric mindset, with a passion for delivering insights.
- Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders.
- Critical thinking and problem-solving, using data to drive decision-making.
- Proficiency in Python, SQL, big-data, BI tools like tableau, knowledge of how APIs work etc.
Educational and Experience Requirements :
- Bachelor’s degree in a technical or math-based discipline, or equivalent practical experience.
- Minimum of 7 years of experience in data analytics or engineering.
- Expert-level SQL knowledge, with proficiency in large-scale data manipulation and performance optimization.
- Strong experience leading cross-functional projects from ideation through execution.
- Some development experience with data architecture, pipelines, and ETL processes.
Our Benefits:
Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.
We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.
Equal Opportunity Employer:
6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected].
We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com
Skills Required
- Bachelor's degree in a technical or math-based discipline, or equivalent practical experience
- Minimum of 7 years of experience in data analytics or engineering
- Expert-level SQL knowledge with proficiency in large-scale data manipulation and performance optimization
- Strong experience leading cross-functional projects from ideation through execution
- Some development experience with data architecture, pipelines, and ETL processes
6sense Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about 6sense and has not been reviewed or approved by 6sense.
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Fair & Transparent Compensation — Pay is considered strong overall, with widespread satisfaction in salary, benefits, and equity. Compensation is also positioned as comparatively competitive for multiple roles, including sales and engineering.
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Leave & Time Off Breadth — Time-off policies are described as flexible, including an unlimited-style vacation approach and expectations of being work-free while out. This breadth in paid time off is repeatedly positioned as a standout part of the overall package.
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Healthcare Strength — Health coverage is characterized as comprehensive, with dental and vision coverage called out as employer-paid in some descriptions. Wellness-related supports such as wellness days and stipends add to the perceived strength of the health-and-wellbeing offering.
6sense Insights
What We Do
The 6sense Account Engagement Platform helps revenue teams identify and close more opportunities by putting the power of AI, big data and machine learning behind every member of the B2B revenue team.
