Data Analyst

Description

We are seeking a detail-oriented and analytical Data Analyst to join our dynamic team. In this role, you will leverage your skills in data analysis to help drive informed decision-making across various departments within the organization. You will be tasked with collecting, processing, and performing statistical analyses on large datasets to identify trends, patterns, and insights that can enhance our business performance. Your ability to translate complex data findings into actionable business strategies will be instrumental in optimizing our operations and improving overall efficiency. You will work closely with cross-functional teams to understand their data needs and help them utilize data-driven approaches to achieve their objectives. Strong communication and collaboration skills are essential for success in this position, as you will need to present your findings to stakeholders and provide recommendations based on your analyses. By joining our team, you will have the opportunity to make a significant impact on our organization and contribute to our ongoing success in a data-driven environment.

Responsibilities

• Collect, clean, and organize large datasets from various sources.

• Perform descriptive and inferential statistical analyses to uncover trends and insights.

• Create and maintain automated dashboards and reports to facilitate data visualization.

• Collaborate with cross-functional teams to understand their data needs and provide analytical support.

• Identify opportunities for process improvements based on data analysis findings.

• Interpret data and communicate findings effectively to non-technical stakeholders.

• Support ad-hoc data projects and analyses as needed.

Requirements

• Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or a related field.

• Proficiency in data analysis tools such as SQL, Excel, R, or Python.

• Experience with data visualization tools like Tableau or Power BI.

• Strong understanding of statistical methods and data modeling techniques.

• Ability to analyze complex datasets and draw meaningful conclusions from them.

• Excellent communication skills, both verbal and written, to effectively present findings.

• Strong problem-solving skills and attention to detail.