Data Analyst Intern

Evvolve is seeking a driven and detail-oriented Data Analyst Intern to join our dynamic team. This is an exciting opportunity for individuals looking to gain hands-on experience in data analysis and business intelligence within a fast-paced environment. As a Data Analyst Intern, you will work closely with our experienced analysts and data scientists to collect, process, and analyze data to support various business objectives. You will be responsible for transforming raw data into actionable insights that drive strategic decisions and help optimize our operations. The ideal candidate will be eager to learn, possess strong analytical skills, and demonstrate a passion for data-driven solutions. This internship will provide valuable experience in data visualization, statistical analysis, and the use of analytical tools and software. If you have a keen interest in data analysis and a desire to contribute to real-world projects, we encourage you to apply and join us in our mission to change the way businesses operate through data.

Responsibilities

• Assist in collecting, cleaning, and validating data from various sources.
• Conduct exploratory data analysis to identify trends and patterns.
• Create visualizations and dashboards to communicate findings effectively.
• Support the team in developing reports and presentations for stakeholders.
• Collaborate with cross-functional teams to understand their data needs and requirements.
• Participate in the design and implementation of data models and data management processes.
• Help identify opportunities for process improvements based on data insights.

• Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related field.
• Basic knowledge of data analysis tools such as Excel, SQL, or Python.
• Familiarity with data visualization tools like Tableau, Power BI, or similar.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication skills, both verbal and written.
• Ability to work independently and as part of a team in a fast-paced environment.
• Eagerness to learn and adapt to new challenges and technologies.