About Accelerant:

Accelerant is a data-driven, technology-powered insurance platform that empowers underwriters to better serve their insureds. Their advanced data intelligence tools are revolutionizing how underwriters share and exchange risk, with a focus on the niche needs of small and medium-sized businesses. Their risk exchange platform supports a curated network of top-tier underwriting teams, providing deep insights into insurance pools with a diversified portfolio that minimizes catastrophic, systemic, and aggregation risks. They're proud of their AM Best A- (Excellent) rating, which reflects their commitment to excellence in the insurance industry.

Accelerant is developing a cutting-edge platform to revolutionize how risk is exchanged in the future. Our Product & Technology (P&T) organization is seeking an experienced Analytics Engineer to manage high value data to provide insights, value, and security to Accelerants clientele..

How will you spend your time

• Designing and implementing data pipelines and models, ensuring data quality and integrity.
• Solving challenging data integration problems, utilizing optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources.
• Building, maintaining, and optimizing our Data Warehouse to support reporting and analytics needs.
• Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way.
• Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics.
• Optimizing pipelines, frameworks, and systems to facilitate easier development of data artifacts.

You will be successful if you have

• A deep desire to build, model and maintain high value data to maximize usability and access to the insights that data generates.
• Good experience in Kimball/dimensional modelling &/or Data Vault.
• Several years experience in building and maintaining Data Warehouses for reporting and analytics.
• Strong skills in SQL, Python, problem-solving and data analysis.
• Strong background in Insurance and/or Dbt.
• Communicate and collaborate well both on technical and product levels.
• An eagerness to learn and collaborate with others, learn quickly and are able to work with little supervision.

If you're interested in this opportunity, please send across your CV to .