Enterprise Data Specialist, Power BI
About the position The Data & Analytics department is looking for an Enterprise Data Specialist, Power BI to help develop new and support existing data models and visualizations. The Enterprise Data Specialist, Power BI will be a key contributor to the execution of broader data visualization and data pipeline strategy for the Data & Analytics teams. This role can be based in our Schaumburg HQ in a hybrid schedule or remotely for the right candidate. Responsibilities • Requirements elicitation and documentation from business stakeholders to determine the data visualization needs of the business. • Use technical requirements to design and develop insightful, visually compelling, and engaging dashboards using Power BI. • Work with onshore and offshore teams on data collection and data needs. • Lead analysis of requirements to determine feasibility of requests, agree on scope of proposed requirements, and identify potential risks and impact to business units and other systems or products. • Partner with analytics experts, data subject matter experts, and Data Engineers to pipeline data using Azure data services. • Supports data validations, implementation, and training activities throughout the process. Requirements • Bachelor's Degree and 5 or more years of experience in the Data Management area OR High School Diploma or Equivalent and 7 or more years of experience in the Data Management area. • Experienced in data interrogation, data profiling or data modeling. Nice-to-haves • Experience in Data Visualization, Data Analytics or other quantitative disciplines, especially during company growth stages, in a cross-functional role. • Strong analytical skills and experience with Business Intelligence tools such as Power BI (preferred), Tableau or similar. • Experience designing and developing insightful, visually compelling, and engaging dashboards that support decision making. • Experience in ETL/ELT and data wrangling using tools (Informatica, Data Factory, DBT, Five Tran etc.) and languages such as Python, R, Scala, Java, SQL, and SAS. • Experience with various Microsoft Azure services (including Data Lake, Synapse, Data bricks, Data factory, Cosmos DB, Power Platform, Azure ML, Power Automate, Power BI etc.). • Familiarity with data warehousing concepts and ETL/ELT processes and tools. • Strong communication skills with experience operating within a fast-paced agile environment as a lead where you actively partner with end-users and team members of both functional and technical backgrounds. • Customer-focused and dedicated to understanding and learning about our business partners needs and requirements. • Skilled at data exploration; able to quickly transform and synthesize data from multiple sources and identify optimal data structures to support end-state reporting needs. • Strong verbal and written communication skills. • Insurance industry experience. Benefits • Comprehensive employee benefits package for employees as well as eligible dependents. • Competitive compensation. • Short-term incentive bonuses and merit increases. Apply tot his job