Data Analyst

Description

We are seeking a detail-oriented and analytical Data Analyst to join our dynamic team. In this role, you will be responsible for transforming raw data into actionable insights that drive business strategies and decision-making processes. Your expertise in data gathering, analysis, and interpretation will be crucial for delivering high-quality reports and visualizations that support various departments within the organization. You will work closely with cross-functional teams to understand their data needs and provide them with accurate and meaningful analyses. The ideal candidate will possess a strong background in data analysis, utilizing statistical techniques and data mining methods to identify trends, patterns, and correlations in large datasets. You will also have the opportunity to use your skills to improve data collection and management processes, ensuring that data integrity and quality are maintained throughout. As a Data Analyst, you will play a pivotal role in shaping data-driven strategies that contribute to the overall growth and success of the company. If you are passionate about data and eager to leverage your analytical skills to enhance business performance, we would love to hear from you.

Responsibilities

• Collect, clean, and organize raw data from various sources for analysis.
• Analyze complex datasets to identify trends, patterns, and insights that inform business decisions.
• Create clear and informative visualizations and reports to present data findings to stakeholders.
• Collaborate with different departments to understand their data needs and provide tailored analytical solutions.
• Develop and maintain dashboards to monitor key performance indicators (KPIs) and metrics.
• Perform statistical analysis to test hypotheses and validate business forecasts.
• Continuously improve data collection and analysis processes to enhance efficiency and accuracy.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Analyst or in a similar analytical role.
• Strong proficiency in data analysis tools such as Excel, SQL, or Python.
• Familiarity with data visualization tools like Tableau, Power BI, or similar software.
• Solid understanding of statistical analysis and modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills, with the ability to convey complex data insights to non-technical stakeholders.

Experience and Skills:
From: Freddie Mac