Junior Data Analyst (225-912)

As a Junior Data Analyst, you will play a critical role in extracting and analyzing data to support informed decision-making within our organization. Working under the guidance of experienced analysts and data scientists, you will help in translating complex datasets into actionable insights. This position is ideal for inquisitive individuals who have a natural affinity for numbers and possess a keen analytical mindset. Your work will directly impact strategic initiatives and business operations, allowing for growth and development in the data analysis field. By leveraging various data management tools and methodologies, you will assist in optimizing data collection processes and contribute to the delivery of impactful data-driven solutions.

Responsibilities

• Assist in collecting, cleaning, and interpreting structured and unstructured datasets.
• Work closely with senior analysts to develop data visualization dashboards.
• Produce and update regular reports to support organizational decision-making.
• Coordinate with stakeholders to understand data requirements and objectives.
• Support the integration of data from primary and secondary sources.
• Utilize data analysis techniques to identify trends and patterns.
• Prepare detailed documentation of data analysis procedures and findings.
• Participate in team meetings to propose data-driven solutions.
• Assist in the development and maintenance of data reporting systems.
• Collaborate in ongoing projects that require data interpretation and strategy.
• Ensure data integrity and accuracy throughout the analysis process.
• Support the data engineering team with database management tasks.

Requirements

• Bachelor's degree in Data Science, Mathematics, or a related field.
• Understanding of data analysis tools such as SQL, Python, or R.
• Demonstrated ability to process and interpret large datasets accurately.
• Strong analytical skills and attention to detail are essential.
• Proficiency in Microsoft Excel and other data visualization tools.
• Excellent communication skills for presenting data-driven insights effectively.
• Aptitude for learning new data management software and systems.