Senior Analyst, Analytics - Business Insights

Key Responsibilities

• Analyse analytics projects, collaborating with business stakeholders to develop and deliver reporting solutions and actionable insights.
• Produce strategic insights on program performance, compliance, utilization trends, and financial projections.
• Ensure data integrity by developing and maintaining clear documentation of query logic, methodologies, and key assumptions.
• Collaborate cross-functionally with internal teams to align analytical insights with business objectives, regulatory requirements, and financial considerations.
• Engage and partner with stakeholders on project scoping, logic development, and documentation.
• Advocate for data-driven decision-making across teams and leadership.
• Interpret current pharmacy and healthcare trends, and meet with clients to provide proactive recommendations for plan management; find ways of adding value to the client curating offerings tailored to the client’s specific needs.
• Apply expertise in data analytics to identify opportunities for process optimization, automation, and improved reporting methodologies.
• Create and maintain standard and ad hoc reports.
• Ensure adherence to company compliance standards, including reporting any noncompliance.
• Support the development and implementation of quality controls and departmental standards to satisfy organizational and regulatory requirements.
• Participate in internal training sessions to support continued learning and development.

Qualifications & Experience

• More than 3 years of experience in data analytics, business intelligence, consulting, or a related field.
• At least 1 year of experience in pharmacy industry (PBM, consultant, manufacturer).
• Experience working with pharmacy claims data, medical claims data, and client reporting metrics.
• A decisive individual who possesses a strategic focus as well as an operational, implementation, and detail-oriented perspective.
• A strategic planner with sound technical skills, analytical ability, good judgement, and strong operational focus.
• A well-organized and self-directed individual who is able to work with minimal amount of supervision.
• Proficient in Microsoft Office and industry related software programs.
• Proficiency in SQL, Python, or R for data analysis, with strong coding hygiene and documentation practices.
• Strong ability to work cross-functionally with business stakeholders.
• Excellent written and verbal communication skills with the ability to present insights effectively.
• Experience mentoring team members and leading knowledge sharing.
• An attention to detail & commitment to delivering high quality work product.