Principal Data Analyst
Lead the data foundations and self-serve analytics strategy at Ethos Life, a data-driven life insurance technology company.
Posted by employer 1 week ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
AI in the day-to-day
Explore opportunities to bring AI into analytics workflows, enabling faster, more intuitive self-serve access to insights.
Requirements
- Experience
- 8+ years
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
The Principal Data Analyst at Ethos Life is tasked with developing and maintaining the company's data infrastructure, ensuring that stakeholders can independently access and utilize insights. This role demands expertise in SQL, data modeling, and self-serve analytics tools like Amplitude and Mode, alongside a hands-on approach to building and validating data solutions. Ideal candidates will have over eight years of experience in data analytics and a proven ability to drive adoption of analytics tools across teams. Ethos Life's focus on innovation and AI integration in analytics workflows highlights its commitment to transforming the life insurance industry.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Ethos Life's career page.
- Ethos Life has 70 other open roles including Manager- Life Underwriting, Life Underwriter, IT Engineer.
- 2267 active SQL roles on Joblaze right now.
- 313 active dbt roles on Joblaze right now.
- 310 active Looker roles on Joblaze right now.
- Typical SQL salary we track runs $115,200–$185,000 (median $150,200, across 1121 roles). See SQL salary trends
Quick facts
- Is the Principal Data Analyst role remote?
- It's hybrid — Ethos Life expects some on-site time in Bangalore, India.
- How much experience is required?
- At least 8 years of relevant experience for this Principal Data Analyst role.
- Where is the role based?
- Ethos Life is hiring for this position in Bangalore, India.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Amplitude, Looker, Mode, SQL, dbt.
- What seniority level is this role?
- Ethos Life targets principal-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Principal Data Analyst role at Ethos Life.
From the original posting
About Ethos
Ethos 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.