Junior Data Analyst at uLesson

OVERALL FUNCTION

• We are seeking an experienced and highly motivated Junior Data Analyst to join our organization.
• As a Junior Data Analyst, you will play a critical role in helping our organization derive valuable insights from data.
• Your primary responsibility will be to collect, analyze, and interpret data to support data-driven decision-making.
• This role is well-suited for individuals with a strong background in mathematics and statistics who are comfortable working with numbers and possess a passion for uncovering meaningful insights.

KEY RESPONSIBILITIES

• Gather data from various sources, ensuring data quality and accuracy. Collaborate with different departments to access relevant data sets.
• Employ statistical and mathematical techniques to analyze data, identify trends, patterns, and anomalies. Use data analysis tools and software for this purpose.
• Create clear and insightful visualizations (charts, graphs, dashboards) to present data-driven findings to stakeholders. Ensure that visualizations are easily understandable to non-technical team members.
• Translate data findings into actionable insights and recommendations that can guide business strategies and decision-making processes.
• Prepare reports summarizing key findings, trends, and recommendations. Regularly update and distribute these reports to relevant stakeholders.
• Collaborate with cross-functional teams, including data engineers, business analysts, and decision-makers, to define data requirements and objectives.
• Assist in the maintenance and management of databases and data repositories. Ensure data integrity and security.
• Identify data-related challenges and propose solutions to improve data collection, analysis, and reporting processes.
• Keep up-to-date with industry trends and emerging technologies in data analysis and statistics to continuously improve skills and knowledge.

QUALIFICATIONS AND SKILLS:

• Bachelor's degree in a related field, such as mathematics, statistics, economics, computer science, or a related quantitative discipline.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Proficiency in data analysis tools and programming languages (e.g., Excel, Python, R, SQL).
• Basic knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Ability to communicate complex findings and insights effectively to both technical and non-technical stakeholders.
• Strong organizational and time-management skills.
• A collaborative mindset and the ability to work effectively in a team.
• A passion for working with data and a willingness to learn and adapt to new technologies and methodologies.
• Adaptability and a willingness to stay updated on industry trends and technologies.
• Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
• Strong analytical and problem-solving skills.