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- Employment
- Part-time
About the role
Key Responsibilities
- Data Collection: Gather and clean large datasets from multiple sources, ensuring data accuracy and integrity.
- Data Analysis: Perform thorough data analysis using statistical methods to identify trends, patterns, and outliers.
- Reporting: Create clear, actionable reports and visualizations using tools like Excel, Power BI, or Tableau to present data insights to stakeholders.
- Business Insights: Collaborate with cross-functional teams to translate data findings into actionable business insights and recommendations.
- Performance Monitoring: Track key performance metrics and provide regular updates on business performance.
- Data Management: Maintain and update databases, ensuring data security and organization.
- Predictive Analysis: Use advanced analytical techniques such as regression, forecasting, and machine learning to predict future trends and behaviors.
- Problem-Solving: Identify data-related challenges and propose innovative solutions.
- Collaboration: Work with IT, product teams, and other departments to develop and implement data-driven solutions.
Skills, Knowledge and Expertise
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
- Proficiency in data analysis tools such as Excel, SQL, Python, or R.
- Experience with data visualization tools like Tableau or Power BI.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent communication skills, with the ability to explain complex data insights to non-technical stakeholders.
- Ability to work independently and manage multiple projects in a fast-paced environment.
Benefits
Perks & benefits
- Dental Insurance
- Medical Insurance
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