Senior Business Intelligence Analyst

Overview

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Join the KnipperHEALTH Team!

The Senior Business Intelligence Analyst combines strong technical skills in predictive modeling with a leadership approach to mentoring. This role is integral in shaping Knipper Health’s data strategy, driving innovation through AI and machine learning, and instilling best practices in data quality and storytelling. The ideal candidate excels at both hands-on analytics and guiding junior team members toward excellence.

Hybrid role based out of Louisville, Kentucky location.

Applicants outside of this area will not be considered for this opportunity.

Responsibilities

KEY RESPONSIBILITIES:

Advanced Modeling & Technical Innovation

• Design and implement predictive models using Python, R, SQL, or similar technologies to address key business questions.
• Investigate automation and AI solutions that enhance forecasting, data processing, or decision-making.
• Build and maintain dashboards or ad hoc analyses in DOMO, Tableau, or Power BI for transparent, actionable insights.

Leadership & Mentor-ship

• Provide informal training, feedback, and coaching to junior analysts, helping them refine their technical and analytical skills.
• Champion robust data governance and accuracy, ensuring alignment across multiple stakeholders and systems.
• Facilitate peer reviews and collaborative problem-solving, fostering a team culture of continuous improvement.

Data Quality & Governance

• Identify and address data discrepancies swiftly, proposing scalable solutions that enhance reliability.
• Develop and enforce standards for data handling, reporting, and analytics processes.
• Work closely with Operations, IT, and Client Services to streamline data pipelines and optimize system integrations.

Strategic Insights & Stakeholder Engagement

• Present complex analytics outcomes to both technical and non-technical stakeholders in a compelling story format.
• Collaborate with leadership to align analytics initiatives with broader organizational goals and identify new opportunities for impact.
• Act as a trusted adviser, recommending the best analytical approaches for various project needs.

The above duties are meant to be representative of the position and not all-inclusive.

Qualifications

MINIMUM JOB REQUIREMENTS:

• Bachelor’s degree in a relevant field (Computer Science, Statistics, Data Science, etc.).
• 5+ years in business intelligence or analytics, with hands-on predictive modeling experience and some history of mentoring or team development.
• Competence in Python, R, SQL, and data visualization tools (DOMO, Tableau, Power BI).

KNOWLEDGE, SKILLS & ABILITIES:

• Technical Depth: Expertise in advanced modeling techniques, machine learning, and data visualization.
• Mentoring Ability: Demonstrated skill in coaching peers or junior staff, sharing knowledge to elevate team performance.
• Data Quality Mindset: Meticulous approach to data integrity, championing governance and reconciliation.
• Communication & Influence: Skilled at conveying technical findings to diverse audiences, driving consensus on data-driven decisions.
• Strategic Approach: Able to see the big picture, prioritizing projects that yield significant business value.
• Adaptability: Open to exploring new technologies, frameworks, and methods that can enhance analytics outcomes.

PREFERRED QUALIFICATIONS:

• Master’s degree in data science, Statistics, or a related discipline.
• Demonstrated success implementing AI/ML solutions with measurable ROI or operational improvements.
• Experience collaborating with multi-department stakeholders in a regulated environment.
• Familiarity with cloud-based data tools or advanced ETL pipelines for large-scale analytics.
• Pharmacy or supply chain experience—especially managing data integrity, inventory levels, or compliance within a distribution context—preferred.

PHYSICAL DEMANDS:

• Location of job activities 100% inside
• Stand and sit for prolonged periods of time
• Occasionally lift, carry, and move up to 20 pounds

TRAVEL & AVAILABILITY REQUIREMENTS:

• 100% Remote
• <10% travel
• Ability to travel off-site to client meetings and industry conferences
• Available to provide support during operational hours, as needed

Knipper Health is an equal opportunity employer.