[Hiring] Business Intelligence Analyst @Enlyte

Role Description

We are seeking an insightful and business-focused Senior Business Intelligence Analyst to join our growing Casualty Analytics Group. If you have a passion for discovering meaningful patterns in data, translating complex information into actionable business insights, and communicating findings effectively to stakeholders, we invite you to apply. As a Senior Business Intelligence Analyst, you will play a pivotal role in our data-driven decision-making process, helping to identify opportunities and shape strategies that drive business value.

Key Responsibilities:

• Business Insight Generation:
  • Collaborate with cross-functional teams to understand business challenges and identify opportunities where data analysis can provide solutions.
  • Conduct in-depth analysis of casualty data to uncover trends, patterns, and insights that inform strategic decision-making.
  • Develop hypotheses and test them through rigorous data analysis to generate actionable business recommendations.
  • Identify key performance indicators and metrics that effectively measure business performance and progress.
• Data Visualization and Storytelling:
  • Design and develop intuitive dashboards, reports, and visualizations that effectively communicate insights to senior business leaders.
  • Transform complex data into clear, compelling visual stories that drive understanding and action.
  • Optimize existing dashboards and reports to improve performance and user experience.
  • Present findings and recommendations to stakeholders at all levels in a clear, concise, and impactful manner.
• Expertise and Continuous Improvement:
  • Collaborate with data teams to ensure data models support effective business intelligence capabilities.
  • Stay informed about industry trends and competitive intelligence to provide context for data interpretation.

Principal Working Relationships:

• VP, Analytics and Data Science
• Business Unit Leadership
• EVP, Product
• Cross-Functional Stakeholders in Product, Finance, and Sales & Marketing

Qualifications

• Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, or a related discipline.
• 3+ years of experience in data analysis or a related role.
• Strong SQL and Python skills for data querying and analysis.
• Proficiency with data visualization tools (Tableau, Power BI, or similar platforms).
• Experience developing dashboards and reports for executive audiences.
• Strong problem-solving and critical thinking skills; continuously asking “so what?”.
• Ability to communicate complex, technical problems to non-technical stakeholders.
• Experience working in cross-functional teams and managing multiple stakeholder relationships.

Benefits

• Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts.
• Life and AD&D Insurance.
• 401(k).
• Tuition Reimbursement.
• An array of resources that encourage a lifetime of healthier living.
• Compensation ranges from $60,000 - $115,000 annually, based on skills, experience, and education.