Junior Data Analyst

As a Junior Data Analyst, you will join a dynamic team where your main role involves analyzing and interpreting vast sets of data to support informed decision-making processes. You will be responsible for gathering data from multiple sources, performing data cleaning, and creating comprehensive reports. This early career position is perfect for individuals who are eager to delve into the world of data analytics, with opportunities to utilize and further develop their skills in statistical analysis and data visualization. You will be collaborating closely with senior analysts to derive insights from data trends, helping the company improve operations and strategic initiatives. This role is ideal for analytical thinkers who are detail-oriented, have a passion for numbers, and are keen on understanding how data can solve complex business challenges. By manipulating data, you are expected to contribute meaningfully to projects that enhance the company's growth. Your contributions will have a direct impact on business operations, paving the way for improved decision-making and overall efficiency.

Responsibilities

• Collect, clean, and interpret data to identify trends and patterns.
• Support senior analysts in the development of analytical models and reports.
• Assist in the creation of data dashboards to visualize complex datasets effectively.
• Provide actionable insights based on data analysis to improve decision-making.
• Collaborate with cross-functional teams to support ongoing data-driven projects.
• Document processes and methodologies for data collection and analysis.
• Utilize statistical software and tools to perform quantitative analysis.
• Prepare comprehensive reports and presentations on data findings for stakeholders.
• Ensure data integrity by performing routine checks and validations.
• Stay up-to-date with the latest industry trends and technologies in data analytics.
• Assist in identifying and interpreting patterns or trends in complex datasets.
• Contribute to process improvements and automation initiatives to enhance efficiency.

Requirements

• Bachelor's degree in Mathematics, Economics, Computer Science, or related field.
• Proficiency in data analysis software like Excel, SQL, or Tableau needed.
• Strong analytical and problem-solving skills required for this role.
• Excellent written and verbal communication skills for effective reporting.
• Basic understanding of statistical analysis techniques and methodologies.
• Demonstrated ability to work independently and in team settings.
• Attention to detail with the ability to manage and prioritize multiple tasks.