Job Description

Description

Description About DOXA DOXA Insurance Holdings is a Midwest-domiciled holding company that acquires specialty niche-focused insurance distribution companies such as Managing General Agencies (MGA), Wholesale Brokers, Program Administrators, and Retail Agencies. We currently operate 20 companies and expect that number to grow every year. DOXA's leaders are experienced insurance executives with credentials in the niche and specialty insurance market. We are building a team of fun, hard-working people that want to help us continue to thrive and grow. Benefits DOXA Insurance Holdings offers employees an excellent work environment with opportunities for growth. We offer flexible work schedules and casual work attire & environment. Our compensation package includes vacation and sick compensation, health, dental, vision, life, and long-term disability insurance, and a matching 401(k) plan. Job Summary DOXA is a rapidly expanding organization that is embarking on building a new Data Platform that will utilize industry-leading tools, including Databricks and Azure data services to provide analytics and data science to support our growth. The DOXA Business Intelligence (BI) leader will be responsible for growing a team to deliver analytics for our existing business and future acquisitions. They will be responsible for working with business leaders to understand their data needs and ensure our overall data strategy supports those needs. The BI Leader will leverage their existing knowledge of insurance functions, such as underwriting, actuary, finance, claims, sales, marketing and business KPIs. The BI Leader will be responsible for managing the delivery of all analytic projects as well as supporting DOXA's ad-hoc reporting needs. Job Functions • Meet with business leaders to define the overall business intelligence vision, roadmap, and Key Performance Indicators (KPIs) • Lead and mentor a growing team of business intelligence analysts, providing guidance, developing skills, and assigning tasks • Oversee the design, development, and maintenance of KPIs, reports, dashboards and data visualizations • Deep understanding of insurance operational needs and data domains • Ability to understand the business needs of our leaders and build a corresponding and supporting data strategy for them • Ensure data quality, security, integrity, and data lineage • Build and manage master data management mappings and hierarchies across the business Requirements Education/Certification: • Bachelor or Masters degree, Computer Science, Data Science, or related technical field or equivalent experience. Required Experience: • Insurance industry experience • Leadership experience (vendor management is a plus) • 4+ years of SQL experience (Python experience is a plus) • 4+ Experience with insurance data domains (premium, sales, marketing, claims, etc) • 4+ years of experience with schema design and dimensional data modeling • 4+ years experience with business intelligence tools (PowerBI, Tableau, etc.) Required Knowledge: • Functional knowledge of insurance operations, terminology, data, and KPIs • Expert knowledge in data warehousing software and hardware • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Skills/Abilities: • Intermediate proficiency in MS Office. • Proficient in Microsoft Visio. • Understanding of Insurance data models and analytics. • Familiarity with agile software development. • Experience with data warehousing, data mining, statistical analysis, and data visualization tools. • Ability to communicate complex insights with technical and non-technical colleagues. • Proven ability to lead a team, while fostering a collaborative culture. • Experience working with business leaders and translating business needs into data strategies. • Ability to understand complex data issues and develop solutions. • Strong data architecture skills. Travel: 5% domestic travel required. Work Schedule: Regular IS schedule with on call, possible weekend work.