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Caretria

Senior Business Intelligence Analyst (2026-8033)

Caretria United States · $100K–$140K/yr

Pharmaceutical Manufacturing · 1,001-5,000 employees

Yesterday
Remote Senior (5-10 yrs) Full-time United States
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About the role

The Senior Business Intelligence Analyst designs and implements predictive models while driving innovation through AI and machine learning. This role also provides leadership and mentorship to junior team members while ensuring robust data governance and quality standards.

What they look for

Predictive modeling Python R SQL Data visualization DOMO Tableau Power BI Machine learning Data governance Mentorship Data quality Strategic planning Stakeholder engagement Data pipelines Automation

Requirements

Candidates must hold a bachelor's degree in a relevant field and possess at least 5 years of experience in business intelligence or analytics. Proficiency in Python, R, SQL, and data visualization tools is required, along with a proven history of mentoring or team development.

Benefits

Health insurance Dental insurance Vision insurance Retirement plan options Paid time off Paid parental leave Employee assistance programs Performance bonuses

Full description

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.

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 & Mentorship

  • 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 advisor, recommending the best analytical approaches for various project needs.

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

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 offsite to client meetings and industry conferences
  • Available to provide support during operational hours, as needed

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The expected base pay range for this position is $100,000–$140,000 per hour. The actual compensation for the position may vary based on market differences and on factors such as skills, experience, qualifications and can vary based on location and/or work schedule. In addition to base pay, CareTria offers a comprehensive benefits package. Full-Time benefits include access to health, dental, and vision insurance; retirement plan options; paid time off; paid parental leave; employee assistance programs; and other perks. Eligible employees may also have access to performance bonuses.

CareTria is an equal opportunity employer