Data Analyst

Our client is seeking enthusiastic and analytically minded Data Analysts to join their team for an internship opportunity in Phoenix, Arizona, US . This role is designed for individuals who are eager to gain practical experience in data analysis, interpretation, and visualization within a dynamic business environment. You will work closely with experienced data scientists and business analysts to support various projects, contributing to data-driven decision-making across the organization. Responsibilities include data cleaning and preprocessing, conducting exploratory data analysis, generating reports and dashboards, and assisting in the development of predictive models. The ideal candidate possesses a strong foundation in statistics, excellent problem-solving skills, and proficiency with data analysis tools and programming languages such as Python or R, and SQL. Experience with data visualization tools like Tableau or Power BI is a significant plus. You will have the opportunity to learn about different data sources, analytical techniques, and the business applications of data insights. This internship provides a valuable learning experience and a chance to develop professional skills in a supportive and collaborative setting. We are looking for individuals who are highly motivated, detail-oriented, and eager to contribute to meaningful projects. Strong communication skills are essential for presenting findings and collaborating with team members. This is an excellent opportunity to launch your career in data analytics and make a real impact.

Responsibilities: Assist in collecting, cleaning, and organizing data from various sources. Perform exploratory data analysis to identify trends and patterns. Develop reports and dashboards to visualize data insights. Support the development and validation of statistical and machine learning models. Collaborate with team members on data-related projects. Document data analysis processes and findings. Assist in the preparation of presentations for stakeholders. Learn and apply new data analysis techniques and tools. Qualifications: Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field. Foundational understanding of statistical concepts and methods. Proficiency in SQL for data extraction and manipulation. Experience with programming languages such as Python or R for data analysis. Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. Strong analytical and problem-solving skills. Excellent attention to detail. Good written and verbal communication skills. Eagerness to learn and contribute in a team environment.