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Orion180

Hybrid MGU and carrier for homeowners insurance

Senior Analytics Engineer - Power BI and Fabric

Business IntelligencePosted on Nov 9
Full-timeIrving, TX, USA

About the Job

Requirements

  • A bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, or a related field is required.
  • U.S. citizenship or Green Card holder status is required.
  • At least 5 years of experience developing enterprise business intelligence solutions.
  • At least 3 years of advanced Power BI development experience, including enterprise semantic modeling and performance optimization.
  • Proven experience in data analysis, modeling, and visualization within the insurance or financial services industry.
  • Experience using Python and SQL for data analysis, automation, and data quality validation.
  • Required skills include Power BI, DAX, Power Query (M), SQL Server/T-SQL, data modeling, star schema design, semantic models, and report performance optimization.
  • Experience designing enterprise semantic models.
  • Experience working with large-scale datasets and performance tuning.
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Strong communication and collaboration abilities across technical and non-technical teams.
  • Ability to manage multiple projects in a fast-paced, results-driven environment.
  • Ability and willingness to work the regularly assigned schedule onsite, with extended schedules as needed for company or departmental needs, project requirements, or customer demands.
  • Ability to perform the stated physical and communication demands of the position, including sitting, standing, walking, lifting objects under 25 pounds, using standard office equipment, and occasional bending, twisting, or squatting.

Responsibilities

  • Design, develop, and scale enterprise reporting and analytics solutions across the organization.
  • Build and maintain centralized semantic models and high-performance Power BI solutions, partnering with business stakeholders to turn data into actionable insights.
  • Advance the modern data and analytics platform to enable self-service reporting, standardized business metrics, and data-driven decision-making.
  • Design, build, and maintain enterprise Power BI dashboards, reports, and scorecards.
  • Create advanced DAX calculations, measures, key performance indicators, and calculation groups.
  • Tune and optimize report performance.
  • Design, build, and maintain enterprise semantic models, reusable datasets, and certified data products for self-service analytics.
  • Establish business intelligence development standards, documentation, deployment processes, and governance practices.
  • Collaborate with sales, underwriting, claims, actuarial, and operational teams to deploy reporting solutions, semantic models, and analytical data products.
  • Design and implement row-level security and data access controls for secure, governed access to analytics assets.
  • Establish visualization standards and dashboard design guidelines.
  • Design and optimize data models that support enterprise reporting and self-service analytics.
  • Conduct data analysis and validation to ensure data integrity, consistency, and adherence to business rules across enterprise data assets.
  • Document semantic models, business definitions, governance processes, and data lineage to support auditability and regulatory compliance.
  • Design and maintain scalable star schema and dimensional data models.
  • Develop and govern enterprise business metrics and key performance indicator definitions.
  • Create centralized semantic models to support multiple business domains.
  • Partner with Data Engineering and Stewardship teams to ensure reliable, high-quality data pipelines.
  • Promote consistency of business logic across reporting and analytics platforms.
  • Build intuitive dashboards and data visualizations using Power BI to translate complex insights into clear business intelligence.
  • Communicate findings and recommendations to cross-functional teams, including leadership and technical partners.
  • Leverage Microsoft Fabric, OneLake, Data Warehouse, and Lakehouse capabilities.
  • Develop data access and reporting solutions using Fabric data assets.
  • Support implementation of enterprise analytics architecture and governance frameworks.
  • Collaborate on data product development and lifecycle management.
  • Work directly with business leaders, analysts, and operational teams to gather requirements.
  • Translate business needs into scalable reporting and analytical solutions.
  • Provide recommendations based on data analysis and industry best practices.
  • Deliver executive-ready dashboards and presentations.

Desired Qualifications

  • Hands-on experience with Microsoft Azure and Microsoft Fabric.
  • Experience with Microsoft Fabric, OneLake, Fabric Data Warehouse, Lakehouse architecture, data products, CI/CD for analytics, Azure Data Factory, and Fabric Pipelines.
  • Familiarity with semantic data modeling and governed metric layers within scalable cloud data platforms such as Snowflake or Databricks, and integrating analytics into broader data engineering workflows.
  • Exposure to AI-assisted analysis, automated insight generation, and advanced data visualization techniques.

About the Company

Orion180

Hybrid MGU and carrier for homeowners insurance

Orion180 sells homeowners insurance through a hybrid model as an MGU and full-stack carrier across 14 states, offering excess and surplus lines, admitted policies, and private flood coverage for catastrophe-prone markets, mainly via independent agents. Its MY180 platform lets agents quote and bind policies in under five minutes, manage their book in real time, and access underwriting resources, while end customers can adjust deductibles and use a mobile app for policy management and claims. The company differentiates itself with its combination of an MGU and carrier structure, plus a proprietary tech platform that streamlines the insurance lifecycle for a large agent network of over 14,000, supported by strong reinsurance and solid ratings. Orion180 aims to grow its agent network, expand market share in catastrophe-prone regions, and scale its platform-driven distribution to deliver faster, simpler insurance experiences for brokers and homeowners.

Company size
201-500
Company stage
IPO
Headquarters
Melbourne, FL
Founded
2017

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