Files
LLM_Engineering_OLD/week5/knowledge-base/employees/Nina Patel.md
2025-11-04 07:26:42 -05:00

2.4 KiB

HR Record

Nina Patel

Summary

  • Date of Birth: July 25, 1991
  • Job Title: Business Intelligence Analyst
  • Location: Chicago, Illinois
  • Current Salary: $82,000

Insurellm Career Progression

  • February 2021 - Present: Business Intelligence Analyst

    • Builds dashboards and reports using Tableau and Looker for executive team
    • Analyzes business metrics across all product lines
    • Partners with sales and marketing teams on data-driven insights
  • August 2019 - January 2021: Junior BI Analyst

    • Created SQL queries and basic reports for business stakeholders
    • Supported senior analysts with data extraction and validation
    • Maintained existing dashboards and fixed data quality issues
  • May 2017 - July 2019: Data Analyst at RetailMetrics Inc.

    • Analyzed retail sales data and customer behavior patterns
    • Built Excel-based reporting tools for operations team

Annual Performance History

  • 2023: Rating: 3.5/5 Meets expectations but has room for growth. Delivered all required reports but showed limited proactivity in identifying new insights.

  • 2022: Rating: 3.2/5 Below expectations. Struggled with complex SQL queries and missed several deadlines. Enrolled in advanced analytics training.

  • 2021: Rating: 3.8/5 Solid performance in first year as BI Analyst. Demonstrated good grasp of business metrics and stakeholder communication.

  • 2020: Rating: 4.0/5 Strong performance as Junior Analyst. Showed initiative and eagerness to learn new tools.

  • 2019: Rating: 3.9/5 Good onboarding year. Quick to adapt to Insurellm's data systems.

Compensation History

  • 2023: Base Salary: $82,000 + Bonus: $4,000
  • 2022: Base Salary: $78,000 + Bonus: $2,000
  • 2021: Base Salary: $75,000 + Bonus: $5,000
  • 2020: Base Salary: $65,000 + Bonus: $3,000
  • 2019: Base Salary: $60,000

Other HR Notes

  • Education: BS in Statistics from University of Illinois at Chicago
  • Skills: Proficient in SQL, Tableau, Looker, Excel. Learning Python for advanced analytics.
  • Development Areas: Needs to improve proactive problem-solving and complex analytical thinking. Working with mentor to develop these skills.
  • Training: Completed Advanced SQL course (2022), enrolled in Data Science fundamentals program (2023)
  • Feedback: Reliable team member with strong attention to detail. Works well on defined projects but needs guidance on ambiguous problems.