Develop and maintain Power BI dashboards, reports, DAX measures, KPIs, and dimensional data models for insurance stakeholders. Write complex SQL for data extraction, transformation, reconciliation, and analysis. Investigate data-quality issues, validate reporting accuracy, optimize performance, and translate insurance business requirements into actionable analytics solutions. Collaborate with engineering, business, and analytics teams across multiple data sources.
Power BI
- Strong hands-on experience with Power BI Desktop and Power BI Service.
- Strong knowledge of DAX, Power Query, data modeling, relationships, drill-through, bookmarks, filters, and visualization best practices.
- Experience building complex dashboards and executive or business reporting solutions.
- Understanding of Power BI performance optimization and data model design.
- Strong SQL skills, including joins, CTEs, subqueries, window functions, aggregations, and complex transformations.
- Experience analyzing and reconciling data across multiple tables and data sources.
- Good understanding of relational databases, dimensional modeling, and data warehousing concepts.
- Ability to investigate data-quality issues and independently perform root-cause analysis.
- Good understanding of insurance data and business processes, preferably within Property & Casualty insurance.
- Familiarity with policy, coverage, exposure, premium, claims, losses, reserves, limits, deductibles, brokers or agents, and underwriting.
- Ability to understand insurance KPIs and translate business questions into analytical reports and dashboards.
- Experience working with policy, claims, underwriting, or premium-related datasets is preferred.
- Design, develop, and maintain interactive Power BI dashboards and reports for insurance business users.
- Develop efficient DAX measures, calculated columns, KPIs, and data models to support analytical and reporting requirements.
- Write and optimize complex SQL queries for data extraction, transformation, reconciliation, and analysis.
- Analyze large datasets to identify business trends, data issues, and actionable insights.
- Work with business stakeholders to understand requirements and translate them into reporting and analytical solutions.
- Perform data validation, reconciliation, and root-cause analysis to ensure reporting accuracy and consistency.
- Develop and maintain dimensional data models supporting reporting and analytics use cases.
- Collaborate with data engineering, business, and analytics teams to integrate data from multiple source systems.
- Apply insurance domain knowledge to interpret business data and develop meaningful KPIs and reporting solutions.
- Support report performance optimization, production issues, enhancements, and ongoing reporting needs.
- 4-6 years of overall experience in business intelligence, reporting, or data analytics.
- Hands-on experience with Power BI and SQL in enterprise reporting environments.
- Prior experience with an insurance carrier, broker, MGA, or insurance analytics organization is highly desirable.
- Exposure to Azure, Snowflake, Databricks, or SQL Server would be an advantage.
- Strong analytical thinking, problem-solving, and communication skills.
- Ability to interact with business stakeholders and independently convert requirements into technical solutions.
Similar Jobs
Artificial Intelligence • Fintech • Information Technology • Marketing Tech • Payments • Social Impact • Software
Leads and builds Donorbox’s product marketing function, owning positioning, messaging, product-led growth, launches, enablement, competitive intelligence, and performance measurement. Partners with Product, Sales, Customer Success, and Marketing to drive acquisition, conversion, retention, and expansion. Manages one direct report, establishes scalable processes and KPIs, influences roadmap priorities, and presents data-driven insights to executive leadership.
Top Skills:
Product-Led Growth (Plg)SaaS
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead and develop a Canada Scaled Customer Success team to drive onboarding, adoption, expansion, and renewals via digital scale programs. Hire and coach CSMs, manage KPIs/OKRs, improve processes and tooling, collaborate cross-functionally, and escalate high-stakes customer moments to ensure measurable customer outcomes.
Top Skills:
CRMCs PlatformDigital Engagement ToolsGainsightProduct AnalyticsTotango
.png){kind=logo}
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Leads Expedia B2B Operations’ global business enablement portfolio, focusing on continuous improvement, process design, automation, AI-enabled servicing, operational readiness, governance, crisis response, and partner communications. The role redesigns workflows, builds business cases, improves service and financial metrics, governs operational changes, supports launches, and drives adoption across teams, vendors, partners, Product, and Technology.
Top Skills:
Artificial IntelligenceAutomationConversations ApiLean Six SigmaProcess MappingProperty Message CentreRoot-Cause AnalysisSix Sigma
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
