We are seeking a highly motivated and detail-oriented Junior Data Analyst to join our data-driven team. As a Junior Data Analyst, you will play a crucial role in supporting data-related activities within our organization. You will work closely with tech team and other team members to collect, analyze, and present data insights that inform decision-making and drive business growth. This is an excellent opportunity for a recent graduate or entry-level professional to gain valuable experience in the field of data analysis.

Junior Data Analyst Duties and Responsibilities

• Data Collection and Cleaning: Collect and compile data from various sources, ensuring data accuracy and completeness. Perform data cleaning and transformation as necessary to prepare it for analysis.
• Data Analysis: Assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Summarize findings in clear and concise reports.
• Data Visualization: Create visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders. Use tools such as Tableau, Power BI, or Excel for visualization.
• Report Generation: Prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. Ensure reports are accurate and delivered on time.
• Data Quality Assurance: Help maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborate with other team members to establish data quality protocols.
• Collaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights.
• Research and Learning: Stay up-to-date with industry trends and best practices in data analysis. Continuously expand your knowledge and skills in data analytics techniques and tools.

Junior Data Analyst Requirements and Qualifications

• Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline.
• Strong analytical skills and a passion for working with data.
• Proficiency in data analysis tools and programming languages such as Excel, SQL, Python, or R.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Metabase).
• Excellent communication skills, with the ability to translate complex data into understandable insights.
• Detail-oriented and capable of maintaining data accuracy and integrity.
• Strong problem-solving skills and the ability to think critically.
• Highly organized and able to manage multiple tasks and deadlines effectively.
• Team player with a collaborative mindset and the ability to work well in a diverse team environment.
• Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis.