Lead Assistant Manager

Oversee multiple operational analytics projects. Work closely with operations teams to align analytics with business goals. Ensure continuous improvement in processes through data insights.

1. Collaborate with stakeholders to understand their business objectives and challenges. 
2. Lead end-to-end analytics projects, including requirements gathering, data collection, analysis, and presentation of findings. 
3. Design and implement data-driven strategies to drive business growth and efficiency
4. Provide strategic recommendations and actionable insights to stakeholders at all levels of the organization
5. Proven track record of leading analytics projects from inception to completion, delivering tangible business results. 
6. Ability to work independently and collaboratively in a fast-paced, dynamic environment. 
7. Strong problem-solving skills and attention to detail. 
8. Basic  working knowledge of SQL/Python 

Oversee operational analytics projects. Ensure analytics align with business objectives. Drive process improvement initiatives.

• Proficient with Microsoft Access and Microsoft Excel
  • Knowledge of descriptive statistical modeling methodologies and techniques such as classification, regression, and association activities to support statistical analysis in various healthcare data.
  • Strong knowledge of Data Warehousing concepts
  • Strong written, verbal and Customer service skills
  • Proficiency in compiling data, creating reports and presenting information, including expertise with query, MS Excel and / or other such product like SSRS, Tableau, PowerBI, etc
  • Proficiency on various data forms including but not limited to star and snowflake schemas.
  • Ability to translate business needs into practical applications
  • Desire to work within a fast-paced environment
  • Ability to work in a team environment and be flexible in taking on various projects.
  • Proven experience working in a fast-paced environment supporting multiple concurrent projects

Bachelor�s degree in Business, Data Science, Operations, or related field. 3-4 years of experience in operational analytics.