What are the responsibilities and job description for the Senior Data Analyst - Business Operations position at Nirvana Insurance?
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, $750B 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 a Senior Data Analyst to join our BizOps team at Nirvana. In this role, you will be instrumental in enhancing and standardizing our GTM data infrastructure, driving data governance, and delivering impactful data analysis and insight generation. Your work will directly support GTM performance reporting to drive strategic decision-making across the organization.
What you'll do :
- Build and enhance GTM data infrastructure by leveraging Salesforce and Nirvana's proprietary data. The role will also involve gathering and cleaning data from multiple sources to ensure accuracy and consistency.
- Develop informative and visually engaging reports, dashboards, and presentations by translating complex data into actionable insights for stakeholders.
- Collaborate with Data Science, Engineering, Product, Finance, and other teams to define data requirements and align on project goals.
- Implement data integrity checks and validation processes to maintain accuracy and integrity. Proactively identify and resolve data anomalies or discrepancies.
About you :
Benefits :
