Senior Data Analyst

Who we are:

Nirvana is on a mission to modernize commercial insurance and enable a safer world. Our technology platform delivers modern insurance & risk management to not only help our customers protect their businesses, but actually improve safety for everyone.

To start, we’re transforming the legacy, $1T+ commercial insurance industry through cutting-edge predictive models using real-time IoT data (~50B connected devices by 2030), automation to deliver instantaneous quotes & faster underwriting, & proactive, and data-driven insights to help customers prevent accidents.

Backed by top-tier VCs including General Catalyst & Lightspeed Ventures, Nirvana became the fastest insurtech ever to launch in Jan 2022 and crossed >$10M run rate in under 6 months, more than 2x faster than best-in-class insurtechs. Our leadership team has helped scale multi-billion dollar companies from scratch including Samsara, Rubrik, Acko & Flexport, and includes industry veterans from Hiscox, AIG, The Hartford & RLI.

About the role:

We are hiring for a Senior Data Analyst within our Data Science team. As a Senior Data Analyst at Nirvana, you will play a pivotal role in improving our data analysis processes, enhancing data governance, and contributing to the development of data-driven features and initiatives. Your responsibilities will span various categories, including Non-Dev QA, Drift Analysis, Feature Improvements, and New Feature Initiatives etc.

What you’ll do:

• Data Collection, Preparation & Data Analysis:

  • Gather data from various sources; clean, transform, and preprocess data to ensure accuracy and consistency.

  • Perform exploratory data analysis to uncover trends, patterns, and outliers.

  • Utilize statistical techniques and data visualization tools to present findings effectively.

• Reporting and Visualization:

  • Create informative and visually appealing reports, dashboards, and presentations.

  • Translate complex data into actionable insights for stakeholders.

• Data Modeling and Predictive Analytics:

  • Develop and maintain statistical models to support forecasting and decision-making.

  • Apply machine learning algorithms to solve specific business problems.

• Cross-Functional Collaboration:

  • Collaborate with data scientists, engineers, and other stakeholders to define data requirements and project goals.

• A/B Testing and Experimentation:

  • Design and conduct A/B tests to evaluate the impact of changes and initiatives.

  • Analyze test results and provide data-driven insights for optimization.

• Data Quality Assurance:

  • Implement data quality checks and validation processes to ensure data accuracy and consistency.

  • Identify and resolve data anomalies or discrepancies.
    

About you:

• Bachelor's degree in a related field, such as statistics, mathematics, computer science, or engineering

• 5+ years of experience in data analysis.

• Expert-level skills in writing and optimizing complex SQL

• Strong experience with Python 

• Strong programming skills in SQL and Python

• Basic understanding of Statistics, machine learning, and data science.

• Experience with data visualization tools such as Tableau, or Power BI.

• Good communication and presentation skills
  Excellent verbal and written communication. Proven interpersonal skills and ability to convey key insights from complex analyses in summarized business terms. Ability to effectively communicate with technical teams.

Benefits:

• Competitive compensation & meaningful equity

• Health insurance for you and your family

• Monthly wellness stipend

• Hybrid culture and reimbursement for home office equipment

• A flexible vacation policy and a team that understands building a company is a marathon, not a sprint

• A culture that gives you the autonomy you need to do great work, and the transparency you need to make good decisions

• #LI_Hybrid