- Location
- Bangalore, India
- Workplace
- Hybrid
- Department
- Analytics
- Seniority
- Senior
- Experience
- 7+ years
- Source
- Greenhouse
Description
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
We are looking for an ambitious self-starter with a strong track record of delivering results. This role will put you in the middle of the action, requiring you to tackle complex challenges in a rapidly-scaling startup. You will work cross-functionally to generate product insights in our direct-to-consumer business. Through critical thinking and analytical rigor, you will understand user behavior and engagement, enabling us to innovate on our product. You will also provide visibility into performance drivers, empowering leaders to make data-supported decisions.
Duties and Responsibilities:
- Work closely with PMs to define feature goals and lead A/B testing and experimentation initiatives, including designing tests, tracking events and properties, and analyzing results to understand attribution, causation, and incremental lift
- Proactively generate exploratory analyses and in-depth research on large data sets to help product teams uncover high-impact opportunities
- Use your wizardly data querying and visualization skills to answer any question in a way that provides actionable insights
- Develop easy-to-consume dashboards and frameworks to monitor and visualize KPIs
- Influence strategic changes by presenting insights and recommendations to various organizational levels, including executives
- Collaborate with data engineers to maintain consistent business logic throughout the organization
- Foster a data-driven, test-and-learn culture with your passion for storytelling through data and surfacing insights via analytics, experimentation, and research into the user journey and customer funnel
Qualifications and Skills:
- 7+ years of experience in data analysis, data science, and/or data-driven product management
- Expert knowledge of SQL
- Expertise with data visualization tools to convey actionable insights to product managers and business leaders
- Experience in A/B testing and experimentation best practices
- Knowledge of basic statistical techniques; linear and logistic regression, confidence intervals
- Familiarity with a scripting language like Python or R
- Proven ability to work independently, multi-task, and thrive in a fast-paced environment
#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.