Data Analyst

Marshall Associates is seeking a detail-oriented Data Analyst to join our dynamic team. In this role, you will play a critical part in helping us interpret complex data sets, transforming raw information into actionable insights to drive business strategies and improve performance. You will work with various stakeholders across different departments to gather requirements, design analytical solutions, and implement data-driven initiatives. Your expertise will not only help in identifying trends and patterns but also enable informed decision-making to support our organizational goals. We value creativity and initiative, and we are looking for a candidate who is passionate about leveraging data to solve real-world problems. You will have the opportunity to grow your skills in a fast-paced environment while contributing to projects that have a significant impact on our operations. If you have a strong analytical mindset and a desire to influence business outcomes through data, we invite you to apply and become a part of our dedicated team at Marshall Associates. Your contributions will be vital in helping us remain competitive and achieve our long-term objectives.

Responsibilities

• Collect, clean, and analyze large datasets to identify trends and insights.
• Develop and maintain dashboards and reports for various stakeholders.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Implement data visualization tools and techniques to present findings.
• Perform statistical analysis and build predictive models to support business decisions.
• Monitor and evaluate data quality and consistency across different sources.
• Assist in the development of data-driven strategies to improve processes and outcomes.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
• Proficiency in data analysis tools such as Excel, SQL, and Python or R.
• Experience with data visualization tools like Tableau or Power BI.
• Strong understanding of statistical analysis and modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Ability to effectively communicate complex data insights to non-technical stakeholders.
• Experience in project management and the ability to handle multiple tasks simultaneously.