Senior Data Analyst

Independence Pet Group

12d

About The Position

Established in 2021, Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America. We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands. About Us: Clarus is a pioneering pet health technology company on a mission to transform the future of pet healthcare. We are dynamic entrepreneurs improving pet health by providing trusted and transparent information across the entire pet health landscape. Join us in shaping a smarter, healthier future for pets everywhere. As we expand, we are looking for a seasoned Data Analyst under the data team to work closely with our cross functional teams to ensure data integrity and accuracy across systems. Role Overview: We are seeking a skilled Data Analyst to join our team. The successful candidate will be responsible for analyzing the inbound data sources such as insurance policies, claims and, product performance of claims processing systems. This role is critical in supporting the product development and data governance processes.

Requirements

Bachelor’s degree in computer science, Information Technology, or related field.
At least 5 years of experience as a data analyst in insurance space.
Experience working with Databricks, Spark, and Azure data services.
Proficiency with NoSQL and SQL databases.
Strong attention to detail, critical thinking and problem-solving skills.
Excellent oral and written communication skills.
Proficient with data visualization tools (i.e. PowerBI).

Nice To Haves

Knowledge and experience with Python a plus.
Experience with CI/CD pipelines a plus.

Responsibilities

Query and analyze large datasets to generate production and ad hoc reports for internal and external stakeholders; support data validation and data preparation efforts.
Manage internal data requests by clarifying stakeholder needs, conducting analyses, and effectively communicating results to end users.
Triage and document stakeholder requests, and support the development of accurate, timely responses.
Support ad hoc analysis requests from leadership, product, marketing and sales.
Serving as a knowledge expert for insurance and claims data processes and identifying areas of improvement to ensure appropriate turnaround times and data quality standards are being met.
Collaborates with data engineering team members to enhance data models, pipelines and reporting infrastructure based on evolving analytical requirements
Translates complex analytical finding into actionable insights and concise presentations for both technical and non-technical audiences
Proactively identify trends, anomalies and opportunities for growth, efficiency and risk mitigation.
Collaborate with cross functional teams to resolve data quality issues and enhance the reporting infrastructure
Ensure data integrity and accuracy across systems and reporting tools.
Support data governance lead with cataloging and documentation of data sources.
Support data definition, documentation, and alignment across product and engineering partners.
Contribute to a growing data culture and support implementation of best practices in analytics methodology and governance.