[ref. t08273017] Data Analyst - Miami

Role Overview:

The Data Analyst will play a key role in collecting, analyzing, and interpreting data to support business initiatives and decision-making. You will work closely with various departments to identify trends, create reports, and help stakeholders make informed decisions based on data insights.

Key Responsibilities:

• Collect, clean, and analyze large datasets from various sources, ensuring data accuracy and consistency.
• Create detailed reports and visualizations to present data findings to both technical and non-technical stakeholders.
• Develop and maintain dashboards to track key performance indicators (KPIs) and business metrics.
• Identify trends, patterns, and insights in data to support decision-making and business strategies.
• Collaborate with business teams to understand their data needs and deliver actionable insights that drive business improvements.
• Design and implement data models and analysis tools to monitor business performance.
• Conduct ad-hoc analysis to answer specific business questions and provide recommendations based on findings.
• Assist with data governance, ensuring that data is managed and stored according to company standards and compliance requirements.
• Present findings and recommendations to leadership and other teams in a clear and concise manner.
• Continuously improve analytical processes and data management practices.

Apply now for immediate consideration!

Requirements:

• Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
• At least 4 years of experience as a Data Analyst or in a similar role.
• Proficiency in data analysis tools such as Excel, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical analysis and data modeling techniques.
• Experience with data cleaning and transforming large datasets.
• Strong problem-solving skills with the ability to identify trends, patterns, and insights from data.
• Excellent communication skills, with the ability to explain complex data findings to non-technical stakeholders.
• Detail-oriented and able to work with large volumes of data while maintaining accuracy and consistency.
• Ability to work independently, manage multiple tasks, and meet deadlines in a fast-paced environment.
• Familiarity with programming languages (e.g., Python, R) for data analysis is a plus.