Business Intelligence Analyst

Engle Martin & Associates

Full-time

Insurance Carriers and Related Activities

About the position

As a Business Intelligence Analyst at Engle Martin, you will play a crucial role in gathering, analyzing, and compiling data to identify trends and patterns that inform business actions. This position is integral to driving strategic, operational, and organizational improvements across various business units while upholding Engle Martin's Foundation and Culture. You will lead consultative sessions with leaders and operational team members to assess analytical needs, helping to define goals and develop strategies for the rollout of data reporting solutions that cater to both immediate and future requirements. Your responsibilities will include collecting, analyzing, and interpreting complex data from multiple sources to uncover patterns, trends, and opportunities for improvement, ultimately optimizing operational performance. You will develop and utilize statistical models and analytical techniques to derive insights, define, track, monitor, and report on key performance indicators relevant to operational activities, and support continuous improvement initiatives. Additionally, you will analyze operational processes to identify areas for optimization and cost reduction, perform ad hoc analyses to address specific questions or issues as requested by management or other departments, and accurately obtain and provide feedback on business and client-specific information needs. In this role, you will create and maintain Power BI dashboards, reports, and visualizations to effectively communicate data findings. You will also lead monthly and quarterly business reviews that benchmark each department's trending financial performance, evaluate costs, and measure the overall productivity and health of the business. Working cross-functionally, you will build out solutions and insights for competitive intelligence while maintaining current knowledge of industry and business trends. Your ability to create complex data reports and provide analysis regarding forecasting, client needs, and benchmarking will be essential for use by senior leadership, and you will confidently communicate these data findings to various stakeholders.

Responsibilities

• Leads consultative sessions with leaders and operation team members to examine analytical needs and help identify solutions.
• Collects, analyzes, and interprets complex data from multiple sources to identify patterns, trends, and opportunities for improvement.
• Develops and utilizes statistical models and analytical techniques to derive insights.
• Defines, tracks, monitors, and reports on key performance indicators relevant to operational activities.
• Analyzes operational processes to identify areas for optimization and cost reduction.
• Performs ad hoc analysis to address specific questions or issues as requested by management or other departments.
• Creates and maintains Power BI dashboards, reports, and visualizations to communicate data findings effectively.
• Develops and leads monthly/quarterly business reviews that benchmark each department's trending financial performance.
• Works cross-functionally to build out solutions and insights for competitive intelligence.
• Maintains current knowledge of industry and business trends.
• Creates complex data reports and provides analysis regarding forecasting, client needs, and benchmarking for use by senior leadership.

Requirements

• Bachelor's degree in Computer Science, Data Analytics, Business Analytics, Statistics, or related field preferred, or equivalent education, training, and work-related experience considered.
• Expert knowledge of Excel and Power BI.
• 5+ years of experience in a business intelligence or data analysis role, and/or 3+ years in insurance line of business, systems analysis, along with 2 years of business analysis and statistical analysis.
• Strong analytical skills with the ability to interpret complex data and provide actionable insights.

Nice-to-haves

• Practical experience in financial modeling and operational performance analysis is preferred.
• Excellent written, verbal, and interpersonal communication skills with the ability to clearly articulate concepts and findings to various audiences.
• Excellent data extraction skills for analysis and reporting purposes.
• Time management and organization skills.
• Excellent customer service skills.
• Detail-oriented, with the ability to research, investigate, and problem solve.
• Team-oriented work style, with the ability to work independently.