Business Data Analyst

AEGIS Insurance Services, Inc. ("AEGIS") has an immediate opening for a Business Data Analyst responsible for business, data, and process analysis. The analyst will interact with subject matter experts in Accounting, Actuarial, Claims, Information Technology, Loss Control, Member Relations, and Underwriting. The analyst will liaise between the technology and business domains of the organization, while identifying process and system improvements based on data driven analysis.

The analyst will also visualize data insights to demonstrate findings.

• Minimum 3 years of experience in data analytics or related field; high-performance work teams a plus
• Demonstrated ability to interpret data into meaningful insights, trends, patterns
• Experience with Business Intelligence and data visualization tools
• Experience that effectively demonstrates the following skills and abilities:
• Analytical thinking that identifies the potential for and extent of risk and risk related factors
• Analyzing data for trends, patterns, insights
• Data driven decision making that leverages available information to make informed decisions
• Negotiation skills that successfully achieve consensus among parties with differing viewpoints and values
• Interpersonal skills that build and maintain professional relationships
• Undergraduate degree or equivalent work experience; degree in insurance, computer science, analytics, or related field desired
• Experience with MS Office Suite, Microsoft Access, and SharePoint, proficiency with advanced functions in Excel
• Demonstrated ability to manage time while working on multiple projects
• Demonstrated ability to exercise discretion and independent judgment, and make necessary decisions to complete assigned tasks
• Demonstrated ability to communicate effectively with various business divisions
• Demonstrated ability to analyze data from multiple sources

• Collaborative Communications and Behavior:
  Develops and maintains effective working relationships as a team member and across divisions; readily collaborates and shares information, seeks and provides constructive feedback, and supports a respectful workplace
• Initiative and Accountability:
  Proactively addresses opportunities to enhance AEGIS’ people, processes, products, and services, takes ownership for one’s responsibilities by acting with integrity and in the best interest of the organization and stakeholders
• Quality-Focused:
  Demonstrates a solution-focus, displays thoroughness and accuracy through quality deliverables, and demonstrates persistence and perseverance in achieving concrete and tangible outcomes
• Service-Oriented:
  Conveys a genuine desire and ability to anticipate and meet customer needs and creates and nurtures mutually beneficial relationships within AEGIS and with AEGIS Members and brokers

Data Research, Collection and Preparation

• Conduct research on Insured company and exposure information
• Collect, cleanse, and prepare data from external data sources (S&P, EIA, and other data sources) and work with stakeholders to leverage the data
• Collaborate with IT to implement system solutions to leverage the data that is manually captured and maintained, operationalize manual data capture processes
• Research and maintain existing complex company hierarchies and update the relationship management system, which may also include contact and contact role changes

Data Analysis and Interpretation

• Analyze the Company’s internal data collected from source business applications (Underwriting, Claims, Loss Control, etc.) and identify ways to better manage and utilize the information
• Analyze the business processes aligned with data and recommend system or process changes
• Integrate internal data with external exposure data for analysis
• Leverage tools to streamline data analysis and cleansing
• Detect and classify key takeaways, trends, and conclusions from the data and summarize insights for stakeholders and management
• Partner with business stakeholders and IT on methods to improve data quality based on analysis findings
• Visualize data findings and insights, leveraging existing and new visualization tools and methods
• Work across divisions…