Senior Business Intelligence Engineer

Accountabilities:

• • Design, develop, maintain, and optimize business intelligence solutions, including dashboards, reports, data models, and applications.
  • Transform complex datasets into meaningful business intelligence that supports strategic and operational decision-making.
  • Conduct advanced data analysis to identify trends, opportunities, risks, and actionable insights.
  • Develop clear and impactful data visualizations for technical stakeholders, business leaders, and executive audiences.
  • Partner with stakeholders to gather business requirements and translate them into effective technical and analytical solutions.
  • Ensure data integrity, accuracy, consistency, and reliability across BI deliverables and reporting outputs.
  • Investigate and resolve moderately complex to highly complex analytical and technical challenges using independent judgment.
  • Optimize existing BI solutions to improve performance, usability, scalability, and overall business value.
  • Work with large and complex datasets within a sophisticated organizational and healthcare data environment.
  • Support strategic initiatives by delivering accurate analysis, reporting, and decision-support tools.
  • Collaborate effectively with technical and non-technical teams while communicating complex analytical findings in a clear and accessible manner.

  Requirements:

  • 5+ years of experience in business intelligence engineering, analytics, or a related technical role.
  • Advanced proficiency in SQL for data analysis, transformation, and querying.
  • Expert-level experience developing visualizations, reports, and applications using Power BI and Power Apps.
  • Advanced experience working with large, complex datasets in enterprise environments.
  • Experience working with healthcare-related data and an understanding of relevant regulatory and data privacy considerations.
  • Strong analytical, quantitative, problem-solving, and critical-thinking abilities.
  • Excellent communication skills, with the ability to translate technical analysis into clear business insights.
  • Ability to work independently, exercise sound judgment, and manage complex assignments with limited supervision.
  • Strong collaboration skills and the ability to work effectively with stakeholders across technical and business functions.
  • Bachelor’s degree is preferred.
  • Experience with Python or other programming languages is preferred.
  • Knowledge of DevOps practices within business intelligence environments is an advantage.
  • Experience with cloud technologies such as ASA and/or Databricks is preferred.
  • Previous delivery of analytics solutions within healthcare or related domains is a plus.
  • Ability to work remotely from a dedicated, interruption-free environment that protects sensitive member and healthcare information.
  • Reliable home internet service with at least 25 Mbps download and 10 Mbps upload speeds is required for remote work.
  • Preference may be given to candidates residing in Louisville, Kentucky.
  • Occasional travel to company offices for training or meetings may be required.

  Benefits:

  • Annual base salary range of $89,000–$121,400 USD, with individual compensation based on location, skills, experience, education, certifications, and other job-related factors.
  • Eligibility for a bonus incentive plan based on company and/or individual performance.
  • Medical, dental, and vision benefits.
  • 401(k) retirement savings plan.
  • Paid time off, company and personal holidays.
  • Paid parental and caregiver leave.
  • Short-term and long-term disability coverage.
  • Life insurance and additional wellbeing benefits.
  • Fully remote work arrangement with flexible collaboration supported by digital tools.
  • Telephone equipment provided to support business requirements.
  • Internet expense support for eligible employees working from home in certain states.
  • Opportunity to work on complex healthcare analytics initiatives with meaningful business impact.
  • 40-hour standard workweek.