CliCar

The Data Analyst will be responsible for collecting, analyzing, and interpreting data to support business decision-making. The role requires a detail-oriented professional with strong analytical skills to identify trends, generate insights, and provide actionable recommendations to improve organizational performance.

Key Responsibilities:

1. Data Collection and Management:

• Gather data from various internal and external sources.
• Maintain and update databases to ensure data accuracy and integrity.
• Organize raw data into usable formats for analysis.

2. Data Analysis:

• Perform statistical analyses to identify trends, patterns, and correlations.
• Generate insights to support strategic and operational decisions.
• Use data visualization tools to create reports, dashboards, and presentations.

3. Business Intelligence:

• Collaborate with cross-functional teams to understand data requirements.
• Monitor key performance indicators (KPIs) and provide insights to improve outcomes.
• Conduct predictive and prescriptive analyses to forecast future trends.

4. Reporting:

• Prepare detailed reports and summaries for management and stakeholders.
• Develop and maintain dashboards for real-time performance monitoring.
• Ensure clear and concise communication of findings and recommendations.

5. Tool and Technology Utilization:

• Use advanced tools like Excel, SQL, Python, or R for data analysis.
• Work with BI tools such as Tableau, Power BI, or similar platforms.
• Automate repetitive tasks to improve efficiency.

Work Environment:

• Office-based with opportunities for remote work depending on organizational policies.
• Requires collaboration with teams across departments.

Bachelor’s degree in Data Science, Statistics, Computer Science, or related field.

• 3+ years of experience in data analysis or a related role.
• Proficiency in statistical tools, data visualization software, and programming languages.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Attention to detail and ability to handle large datasets.