Data Analyst
Role Overview
Collect, process, and analyze data to provide actionable insights that support business decisions.
Develop and maintain dashboards, reports, and visualizations to track key performance indicators.
Work with cross-functional teams to identify trends and opportunities for process improvement.
Clean, validate, and interpret large datasets from multiple sources for accuracy and consistency.
Assist in developing predictive models and automation tools; present findings and recommendations to stakeholders.
Key Skills for This Role
Full Job Posting
Job description
Collect, process, and analyze data to provide actionable insights that support business decisions.
Develop and maintain dashboards, reports, and visualizations to track key performance indicators.
Work with cross-functional teams to identify trends and opportunities for process improvement.
Clean, validate, and interpret large datasets from multiple sources for accuracy and consistency.
Assist in developing predictive models and automation tools; present findings and recommendations to stakeholders.
Requirements
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Proven experience in data analysis, business intelligence, or a similar analytical role.
- Proficiency in SQL, Excel, and data visualization tools such as Power BI or Tableau.
- Python or R knowledge for data processing and statistical analysis is an advantage.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and handle multiple projects simultaneously.
Benefits
- Competitive salary with performance-based bonuses.
- Professional growth and advanced data training opportunities.
- Collaborative and innovative work culture.
- Flexible or hybrid working arrangements are mentioned.
Responsibilities
- Collect, process, and analyze data to provide actionable insights for business decisions.
- Develop and maintain dashboards, reports, and data visualizations to track KPIs.
- Work with cross-functional teams to identify trends, patterns, and process-improvement opportunities.
- Clean, validate, and interpret large datasets from multiple sources to ensure accuracy and consistency.
- Assist in developing predictive models and automation tools for data-driven decision-making.
- Present findings and recommendations clearly to management and stakeholders.
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