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Glynn Capital
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Senior Data Engineer

Ethos Life

Ethos Life

Data Science
Bengaluru, Karnataka, India
Posted on Thursday, November 9, 2023

About Ethos

Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones.

We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We’ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health.

We make getting life insurance easier, faster and better for everyone.

Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families!

About the Role

Ethos is seeking a Senior Data Analyst to join our Enterprise Systems team and help drive data operations Sales, Marketing, and Product teams. As a Senior Data Analyst, you will play a critical role in transforming raw data into actionable insights that drive business growth. If you have a passion for data analysis, development, and are proficient in technologies like Airflow, Python, and JavaScript, we encourage you to apply.

Duties and Responsibilities:

  • Data Integration and Analysis: Collaborate with cross-functional teams to gather and understand data requirements. Integrate and analyze data from various sources, such as Segment, Iterable, Salesforce.
  • System Development: Develop and maintain data pipelines and workflows using tools like Airflow, Python, and JavaScript. Create automated processes to streamline data extraction, transformation, and loading (ETL) tasks.
  • Data Visualization: Create interactive dashboards and reports to communicate data findings effectively to stakeholders. Utilize data visualization tools to present actionable insights.
  • Quality Assurance: Ensure data accuracy, consistency, and integrity by implementing data validation and data cleansing processes. Perform data quality checks and troubleshoot any issues.
  • Performance Optimization: Continuously monitor and optimize data pipelines and systems to improve efficiency and scalability. Identify and resolve performance bottlenecks.
  • Documentation: Maintain detailed documentation of data pipelines, workflows, and systems for reference and knowledge sharing within the team.

Qualifications and Skills:

  • Proven experience in data analysis, data engineering, or a related role
  • Strong proficiency in programming languages such as Python and JavaScript
  • Experience with data integration tools and platforms, including Airflow
  • Familiarity with Mode or similar data visualization tools
  • Knowledge of CRM systems (e.g. Salesforce/Iterable) is a plus

#LI-Hybrid

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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 who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. 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.