Senior Data Analyst 3
9 hours ago
Passion for applying AI and data-driven thinking to improve processes, enhance decision-making, and drive innovation.
Role:
- Data Collection: Gather data from various sources, including databases, spreadsheets, and external datasets.
- Data Cleaning: Ensure data quality by identifying and correcting errors or inconsistencies in the data.
- Data Analysis: Analyze data using statistical methods to uncover trends, patterns, and insights.
- Reporting: Create reports and visualizations to present findings to stakeholders in a clear and actionable manner.
- Tool Development: Develop and maintain dashboards or tools that facilitate ongoing data analysis and reporting..
Responsibilities:
1.Data Management:
- Maintain databases and ensure data integrity.
- Develop data models to support analysis.
2.Statistical Analysis:
- Use statistical techniques to analyze data sets.
3.Visualization:
- Create visualizations (charts, graphs, etc.) to communicate findings effectively.
- Use tools like Looker for reporting.
4.Business Insights:
- Interpret data to provide actionable insights to improve business performance.
- Identify trends and make recommendations based on analysis.
5 Documentation:
- Document processes, methodologies, and findings to ensure transparency and reproducibility.
- Prepare user guides or training materials for tools developed.
6.Continuous Improvement:
- Stay updated on industry trends and best practices in data analysis.
- Seek opportunities to improve processes and tools for more effective data analysis.
Desired Candidate Profile
- 6+ years of work experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data Analytics responsibilities and tasks.
- Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative.
- A bachelor's or master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience is required.
- Experience in Fintech and/or Insurance industry will be a preferred
- Job Benefits & Perks
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