Entrly level data analyst

1. Data Collection and Cleaning:

   • Collect and compile data from various sources, ensuring accuracy and completeness.
   • Clean and preprocess data to prepare it for analysis.

2. Data Analysis:

   • Perform exploratory data analysis to identify trends, patterns, and outliers.
   • Utilize statistical methods to analyze data and extract meaningful insights.

3. Report Generation:

   • Create clear and concise reports summarizing key findings and trends.
   • Present data-driven insights to internal stakeholders in a comprehensible manner.

4. Database Management:

   • Maintain and update databases to ensure data integrity.
   • Develop and implement efficient data management procedures.

5. Collaboration:

   • Work closely with cross-functional teams to understand data requirements and deliver actionable insights.
   • Collaborate with other analysts and team members to enhance overall data capabilities.

6. Continuous Learning:

   • Stay abreast of industry trends and advancements in data analysis techniques.
   • Take initiative in expanding knowledge and skills related to data analytics tools and technologies.

Qualifications:

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
• Strong analytical and problem-solving skills.
• Proficient in using data analysis tools such as Excel, SQL, and Python/R.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent communication skills with the ability to present complex data findings in a clear and understandable manner.
• Detail-oriented with a commitment to producing accurate and reliable results.
• Ability to work both independently and collaboratively in a team environment.