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
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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
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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
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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
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2023: Rating: 3.5/5 Meets expectations but has room for growth. Delivered all required reports but showed limited proactivity in identifying new insights.
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2022: Rating: 3.2/5 Below expectations. Struggled with complex SQL queries and missed several deadlines. Enrolled in advanced analytics training.
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2021: Rating: 3.8/5 Solid performance in first year as BI Analyst. Demonstrated good grasp of business metrics and stakeholder communication.
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2020: Rating: 4.0/5 Strong performance as Junior Analyst. Showed initiative and eagerness to learn new tools.
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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.