Sr. Analytics Engineer
6Sense - Bengaluru, Karnataka, India
Posted Mar 9, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Sr. Analytics Engineer Bengaluru, Karnataka, India 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
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