Operations Analyst

About the role

The Operations Analyst is a data analyst that supports Operations and the Operations Excellence teams. The role provides insight and visibility into operational performance and data needed to advance strategic decision making in support of a rapidly growing organization.

Responsibilities

• Collect, validate, analyze, and organize operational data from various sources, including databases, spreadsheets, and other data repositories.
• Use statistical techniques such as STATA, Python, SPSS, R, SAS on large datasets to identify trends, patterns, and insights.
• Prepare, analyze, and summarize operational results for use by key stakeholders by creating reports, specifications, instructions, and/or flowcharts.
• Analyze and synthesize data findings into key insights and summary recommendations for improvement opportunities for operations partners.
• Provide technical assistance and support among operations partners about the effective use of data.
• Work closely with operations program and people leaders as a data partner to promote data-driven problem-solving and solutions to improve business performance.
• Analyze the impact of continuous improvement initiatives pre- and post-implementation in support of the Operations Excellence team.
• All other duties as assigned.

Qualifications

• Education: Degree or combination of education and experience (degree in Business, Data Analytics, Healthcare Analytics, Information Management Systems, or Mathematics preferred).
• Experience: 2+ years in healthcare or employer benefits preferred.
• Familiarity with healthcare data.
• Proficient in MS Office suite (Excel, Word, PowerPoint, Outlook).
• Technical and data manipulation experience with Excel (pivot tables, XLOOKUP, FILTER).
• Proficient with SQL or similar relational databases.
• Experience with visualization tools (e.g. Tableau, PowerBI, AWS Quick Sight) is required.
• Experience in writing Python programs to process data.
• Exhibit strong analytics, technical, trouble-shooting, and problem-solving skills.
• Show strong analytical skills with the ability to understand and manipulate data into usable, actionable information with a high degree of accuracy and attention to detail.
• Show strong written and verbal communication skills and the ability to communicate with all levels of the organization.
• Must be self-motivated, detail-oriented, and organized.
• Possess aptitude for learning new technologies/reporting tools/software.
• Protect and take care of our company and member's data every day by committing to work within our company ethics and policies.