Overview
Job Description: Junior Analyst – AI & Operational Reporting
Job Title: Junior Analyst – AI & Operational Reporting
Location: The Hive — Sandy, UT 84070 (must work on-site on Sandy, UT)
Reports to: Head of AI
Employment Type: Hourly, non-exempt (full-time)
Responsibilities
Operational Reporting & Analytics
- Build, maintain, and enhance operational reports across sales, service, and agency performance
- Analyze datasets to identify trends, gaps, and opportunities for improvement
- Work with stakeholders to define reporting needs and translate them into dashboards or outputs
- Leverage AI tools (e.g., Cursor, ChatGPT, or similar) to accelerate analysis, reporting, and workflow automation
- Assist in developing lightweight AI-driven workflows to improve reporting efficiency
- Continuously explore new tools and methods to enhance productivity and output quality
Data Management & Quality
- Assist in cleaning, structuring, and validating data from multiple internal sources
- Identify inconsistencies or duplication in reporting data and propose solutions
- Support ongoing improvements to data pipelines and reporting accuracy
Business Collaboration
- Partner with operations, sales leadership, and other teams to support decision-making
- Translate data findings into clear, actionable insights for non-technical stakeholders
- Develop a working understanding of insurance operations and key performance metrics
Qualifications
Education & Experience
- 0–3 years of experience in analytics, reporting, operations, or related field
- Strong proficiency in Excel or Google Sheets
- Basic understanding of data analysis concepts (aggregations, trends, KPIs)
- Familiarity with AI tools (e.g., Cursor, ChatGPT, or similar)
- Strong problem-solving and critical thinking skills
- Excellent communication skills with the ability to explain data simply
- Exposure to SQL, Python, or BI tools (Tableau, Power BI, etc.) is a plus
- Basic understanding of insurance or financial services is a plus
Knowledge, Skills, and Abilities
- Experience working with large datasets or operational reporting
- Curiosity about AI and automation in business workflows
- Ability to learn new tools and technologies quickly
- Strong attention to detail and ability to manage multiple priorities
Success Metrics
- Accuracy and timeliness of operational reporting
- Ability to identify insights that drive measurable operational improvements
- Effective use of AI tools to increase speed and efficiency
- Stakeholder satisfaction and trust in reporting outputs
Working Conditions
- This is an in-office-based role with prolonged periods of sitting and computer use.
- Must be able to pull or lift up to 15 pounds at times and may require extended hours during peak renewal periods.