
data analyst Longmont, CO
Job description
Data Analyst run reports and interpret data. Analyze results using statistical techniques to provide ongoing reports.
Join our PharMerica team! PharMerica is a closed-door pharmacy where you can focus on fulfilling the pharmaceutical needs of our long-term care and senior living clients. We offer a non-retail pharmacy environment. Our organization is in high growth mode, which means advancement opportunities for individuals who are looking for career progression!
Our Pharmacy group focuses on providing exceptional customer service and meeting the pharmacy needs for hospitals, rehabilitation hospitals, long-term acute care hospitals, and other specialized care centers nationwide. If your passion is service excellence and top-quality care come join our team and apply today!
- Create reports
- Identify needed reports
- Identify opportunities
- Collaborate with team members to collect and analyze data
- Present information in various ways for visualization and action
- Monitor KPIs to measure effectiveness of business
- Structure large data sets to find usable information
- Create presentations for use with teams and leadership
- Perform Audits
- Identify areas of risk
- Cause and effect analysis of on-going issues and work with team for resolution
- Performs other tasks as assigned
- Conducts job responsibilities in accordance with the standards set out in the Company’s Code of Business Conduct and Ethics, its policies and procedures, the Corporate Compliance Agreement, applicable federal and state laws, and applicable professional standards.
- Data Analyst should have skills and qualifications that help solve problems using large amounts of data
- Analytical and problem solving skills
- Experience with statistical software
- Reporting and data visualization skills using software like Tableau
- Understand data warehousing
- Proficiency in Microsoft Excel
- Ability to set and meet deadlines
- Ability to work in high-pressure situations
- Excellent attention to detail
- Ability to QA and troubleshoot data
- Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining
