The Data Analyst will be responsible for collecting, analyzing, and interpreting large sets of data to help drive informed decision-making across the organization. This role involves working closely with various departments to identify trends, generate reports, and present actionable insights that can improve business operations. The ideal candidate will have strong analytical skills, proficiency in data visualization tools, and a solid understanding of statistical analysis.
Key Responsibilities:
Data Collection & Preparation: Gather, clean, and organize data from various sources to ensure accuracy and consistency for analysis.
Data Analysis: Apply statistical methods and data analysis techniques to identify trends, patterns, and insights that help improve business performance.
Reporting & Dashboards: Create and maintain regular reports, dashboards, and visualizations to present findings to key stakeholders in a clear and actionable way.
Collaboration: Work closely with departments such as marketing, finance, operations, and sales to understand business objectives and provide data-driven insights.
Data Modelling: Develop and implement data models to predict future trends and inform decision-making processes.
Process Improvement: Identify opportunities for improving data collection, reporting processes, and business strategies based on findings.
Tool Utilization: Use various analytics tools and software (e.g., Excel, Power BI, Tableau, SQL, Python, etc.) to perform data analysis and create reports.
Problem Solving: Address complex data-related issues and provide solutions to challenges within the organization s processes.
Continuous Learning: Stay up-to-date with the latest data analysis techniques, tools, and trends in the industry.
Data Collection & Preparation:
Gather, clean, and organize data from various sources to ensure accuracy and consistency for analysis.
Data Analysis:
Apply statistical methods and data analysis techniques to identify trends, patterns, and insights that help improve business performance.
Reporting & Dashboards:
Create and maintain regular reports, dashboards, and visualizations to present findings to key stakeholders in a clear and actionable way.
Collaboration:
Work closely with departments such as marketing, finance, operations, and sales to understand business objectives and provide data-driven insights.
Data Modelling:
Develop and implement data models to predict future trends and inform decision-making processes.
Process Improvement:
Identify opportunities for improving data collection, reporting processes, and business strategies based on findings.
Tool Utilization:
Use various analytics tools and software (e.g., Excel, Power BI, Tableau, SQL, Python, etc.) to perform data analysis and create reports.
Problem Solving:
Address complex data-related issues and provide solutions to challenges within the organization s processes.
Continuous Learning:
Stay up-to-date with the latest data analysis techniques, tools, and trends in the industry.
Education:
Bachelor s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field.
Experience:
At least 1 year to 3 years of experience in data analysis, business intelligence, or a similar role.
Skills:
Proficiency in data analytics tools and software such as Excel, SQL, Power BI, Tableau, or Python.
Strong analytical skills with the ability to translate data into actionable insights.
Knowledge of statistical analysis and data modelling techniques.
Experience with data visualization tools to present findings clearly.
Strong attention to detail and accuracy in data handling.
Excellent problem-solving skills and the ability to work with large datasets.
Qualifications:
Education: Bachelor s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field.
Experience: At least 1 year to 3 years of experience in data analysis, business intelligence, or a similar role.