Principal Data Analyst
Bangalore, India
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingEthos is a data-driven company, and analytics is at the heart of how we make decisions.
The ideal candidate has a proven track record of building data systems at scale and driving adoption of self-serve analytics.
Design and validate event-based data models as the single source of truth
Build datasets and dashboards in Amplitude and Mode for self-serve use
Set up monitoring, alerting and documentation for core metric reliability
Identify and implement AI-driven features for analytics workflows
Take analytics solutions from raw data pipelines to executive dashboards
From the employer’s posting
Ethos is a data-driven company, and analytics is at the heart of how we make decisions. We are looking for a Principal Data Analyst who will own and drive the data foundations and self-serve analytics strategy for the company. This role will be responsible for designing and maintaining the systems, models, and tools that serve as our single source of truth, while empowering stakeholders to independently access and act on insights.
The ideal candidate has a proven track record of building data systems at scale and driving adoption of self-serve analytics. This role requires a rare combination of vision and hands-on execution: you’ll set the direction for how data is modeled, monitored, and consumed — and also roll up your sleeves to build, validate, and ship solutions. You’ll also explore opportunities to bring AI into analytics workflows, enabling faster, more intuitive self-serve access to insights across the business.
Design, build, and validate event-based foundational data models to serve as the single source of truth for funnels, experiments, and core business metrics.
Build scalable datasets, dashboards, and monitoring systems in tools like Amplitude and Mode to allow teams to self-serve insights.
Establish monitoring, alerting, and documentation to ensure accuracy, consistency, and reliability of all core metrics.
Identify and implement AI-driven capabilities to enhance analytics workflows, improve discoverability, and reduce dependency on manual analyst support.
from raw data pipelines to executive-facing dashboards
Tools in this posting
- SQL
- dbt
- Looker
Source — Tool mentions in context
- 8+ years of experience building and scaling data models, pipelines, and self-serve analytics systems. - Expert-level SQL and strong experience with DBT or equivalent transformation frameworks. - Hands-on experience with BI/self-serve tools such as Amplitude, Mode, or Looker.
- Expert-level SQL and strong experience with DBT or equivalent transformation frameworks. - Hands-on experience with BI/self-serve tools such as Amplitude, Mode, or Looker. - Deep understanding of event-based data modeling and instrumentation best practices.
About Ethos Life
Ethos (Nasdaq: $LIFE) is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 29, 2026 · 62 days ago
- Recorded sightings
- 40
- Last seen by us
- Oct 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
About Ethos
Ethos (Nasdaq: $LIFE) is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten.
About the role
Ethos is a data-driven company, and analytics is at the heart of how we make decisions. We are looking for a Principal Data Analyst who will own and drive the data foundations and self-serve analytics strategy for the company. This role will be responsible for designing and maintaining the systems, models, and tools that serve as our single source of truth, while empowering stakeholders to independently access and act on insights.
The ideal candidate has a proven track record of building data systems at scale and driving adoption of self-serve analytics. This role requires a rare combination of vision and hands-on execution: you’ll set the direction for how data is modeled, monitored, and consumed — and also roll up your sleeves to build, validate, and ship solutions. You’ll also explore opportunities to bring AI into analytics workflows, enabling faster, more intuitive self-serve access to insights across the business.
Duties and Responsibilities:
- Data Foundations: Design, build, and validate event-based foundational data models to serve as the single source of truth for funnels, experiments, and core business metrics.
- Self-Serve Enablement: Build scalable datasets, dashboards, and monitoring systems in tools like Amplitude and Mode to allow teams to self-serve insights.
- AI Integration: Identify and implement AI-driven capabilities to enhance analytics workflows, improve discoverability, and reduce dependency on manual analyst support.
- Reliability & Trust: Establish monitoring, alerting, and documentation to ensure accuracy, consistency, and reliability of all core metrics.
- End-to-End Ownership: Scope, design, build, validate, and deploy analytics solutions — from raw data pipelines to executive-facing dashboards.
- Adoption & Impact: Partner with stakeholders to understand their top use cases, deliver raw datasets and clean metrics, and ensure broad adoption of self-serve tools.
- Vision & Strategy: Anticipate future needs, identify gaps, and define scalable solutions that raise the bar for the analytics function.
Qualifications and Skills:
- 8+ years of experience building and scaling data models, pipelines, and self-serve analytics systems.
- Expert-level SQL and strong experience with DBT or equivalent transformation frameworks.
- Hands-on experience with BI/self-serve tools such as Amplitude, Mode, or Looker.
- Deep understanding of event-based data modeling and instrumentation best practices.
- Strong experience building monitoring and alerting for data reliability.
- Ability to translate complex technical concepts into actionable insights for non-technical stakeholders.
- High bar for data quality and accuracy; detail-oriented with strong validation practices.
- Proven track record of driving adoption of self-serve analytics across teams.
- Experience with AI/ML tools to support analytics workflows is a strong plus.
#LI-Hybrid
#LI-NG1
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.
To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.
Recruitment Notice: Please be aware of recruitment scams. All legitimate communication from our team will only come from email addresses ending in @ethos.com or @getethos.com.
We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, India
- Experience with AI/ML tools to support analytics workflows is a strong plus. #LI-Hybrid #LI-NG1
- Work authorization
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