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.
Purpose of the Job
We are looking for a Senior Analytics Engineer to help build and scale our enterprise analytics foundation. This role sits at the intersection of data engineering, analytics, and business strategy, and is critical to ensuring trusted, well-modeled data is available across the organization.
In this role, you’ll own the entire data ecosystem from raw ingestion of data to final presentation ready datasets and visualizations. You’ll own core data models in our Enterprise Data Warehouse, partner closely with Finance, GTM, Product, and Operations teams, and help define best practices for analytics engineering across the company.
Job Description
Responsibilities & Accountabilities
- Design, build, and maintain scalable, well-documented data models that power executive dashboards, financial reporting, and operational analytics.
- Own the entire ELT process, from raw source data to analytics-ready, production-grade data models.
- Partner with upstream data ingestion teams to improve source data quality, reliability, and observability.
- Define and enforce data quality standards through automated testing, documentation, and monitoring.
- Contribute to data governance efforts, including access controls, data lineage, documentation, and metric consistency.
- Collaborate closely with Finance, Revenue Operations, GTM, Product, and Analytics teams to translate business requirements into scalable data models.
- Enable data literacy and self-service analytics across the organization through participation in a Data Champions program.
- Establish and contribute to analytics engineering best practices and shared documentation.
- Review code and mentor junior analytics engineers, providing technical guidance and feedback.
- Identify opportunities to improve performance, cost efficiency, and developer experience across the analytics and data platform.
Performance Measurement
- Lead analytics engineering initiatives within assigned domains or subject areas, delivering trusted data models that support strategic product and business decisions.
- Maintain comprehensive documentation of data models, transformation logic, and analytical assumptions to improve transparency and operational efficiency.
- Design and deliver medium-term, high-impact data projects aligned with business priorities and cross-functional needs.
- Improve team efficiency and stakeholder engagement by clarifying requirements, setting expectations, and communicating progress and tradeoffs.
- Provide timely, reliable datasets and analytical support that enable stakeholders to make informed, data-driven decisions.
Educational and Experience Requirements
- Bachelor's degree in a technical or math-based discipline, or equivalent practical experience.
- Minimum of 8 years of experience in data analytics or engineering.
- Expert-level SQL knowledge, with proficiency in large-scale data manipulation and performance optimization.
- Experience leading cross-functional projects from ideation through execution.
- Developed experience with data architecture, pipelines, and ELT processes.
- Experience with dbt, Snowflake and Fivetran
Competencies and Behaviours
- Excellent attention to detail, ensuring accuracy in all data-related tasks.
- 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 and/or R, along with SQL and BI tools.
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
Top Skills
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
