Senior Business Intelligence Analyst

Build and maintain optimized data foundations for analysis and reporting Establish Agency program structures and monitor program health Provide quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision makers Collect, aggregate, and analyze data from multiple internal and external sources Use analytics and metrics to improve processes and forecast potential costs, risk, and profits of new initiatives Identify, analyze, and interpret trends or patterns Prepare ongoing reports and data visualizations, including charts, dashboards, and heat maps Design and produce actionable reports defining, building, and visualizing KPIs Display root cause analysis and identify areas of improvement Synthesize data to develop actionable insights and recommendations Use visualization, storytelling, and prescriptive insights with data Design, develop, test, and launch new data products and dashboards into production Collaborate across various functional areas and manage multiple projects simultaneously Requirements Typically requires 7+ years of relevant experience or a combination of related experience, education and training Insurance industry knowledge Ability to extract and analyze data within both a traditional and big data environment Data analytics and quantitative/qualitative reasoning Experience creating and analyzing data visualizations for the purpose of generating insights Proficiency in SQL, Tableau, Python, Git, data storytelling and forecasting Computer proficiency including working knowledge of Microsoft Office, database technology, analytics and business intelligence Good project management skills, including the ability to manage multiple projects simultaneously, organize efficiently, establish priorities and attend to details Excellent written, verbal, and interpersonal communication skills, including presentation skills and the ability to work collaboratively across various functional areas Strong data analysis skills, including ability to rapidly learn new data assets Experience with data tools such as SQL, Tableau, and Hadoop/Hive environment Proficiency with analysis and output verification techniques Familiarity with relational database systems such as SQL Server, DB2, MySQL, and MS Access Strong operational, organizational, analytical, and technical skills Must be a team player Core Competencies Demonstrates expertise in data analytics, including proficiency in SQL, Tableau, and Python, to build and maintain optimized data foundations for analysis and reporting. Capable of synthesizing data to develop actionable insights and recommendations while managing multiple projects in the insurance industry. Highest-signal resume keywords Data Analytics SQL Proficiency Tableau Visualization Project Management Insurance Industry Knowledge Hard Skills Data Analysis Quantitative Reasoning Qualitative Reasoning Data Visualization Forecasting Root Cause Analysis KPI Development Data Storytelling Output Verification Techniques Big Data Analysis Soft Skills Excellent Communication Skills Interpersonal Skills Organizational Skills Team Player Attention to Detail Industry Keywords Insurance Industry Data Foundations Analytics Business Intelligence Data Products Tools & Technologies SQL Tableau Python Git Microsoft Office Hadoop Hive SQL Server DB2 MySQL #J-18808-Ljbffr