Job description

Our client is looking for an ambitious and detail-oriented Junior Data Analyst to join their Business Intelligence team in **Columbus, Ohio, US**. This internship provides an exceptional opportunity for individuals looking to kick-start their career in data analytics, gaining hands-on experience with real-world business challenges. You will assist in collecting, cleaning, and analyzing data from various sources to support strategic decision-making. This role involves working closely with senior analysts and business stakeholders to transform raw data into actionable insights, develop reports, and contribute to dashboard creation. The ideal candidate is eager to learn, possesses strong analytical skills, and has a foundational understanding of data principles. Responsibilities: Assist in the collection, organization, and validation of data from diverse sources. Perform data cleaning and preparation tasks to ensure data accuracy and consistency. Conduct basic data analysis using statistical methods to identify trends, patterns, and insights. Support the development and maintenance of business intelligence reports and dashboards. Collaborate with senior analysts to interpret data and communicate findings to stakeholders. Help create visualizations to effectively present data and insights. Assist in documenting data definitions, methodologies, and processes. Identify opportunities for data improvement and process optimization. Learn and apply various data analysis tools and techniques. Participate in team meetings and contribute to project discussions. Ensure data integrity and confidentiality. Gain exposure to the full data lifecycle within a corporate environment. Qualifications: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. Foundational understanding of data analysis concepts and statistical methods. Proficiency in spreadsheet software (e.g., Microsoft Excel) for data manipulation and analysis. Familiarity with at least one programming language for data analysis (e.g., Python, R) is a strong plus. Basic knowledge of SQL for data querying is beneficial. Strong analytical and problem-solving skills. Excellent attention to detail and accuracy. Good communication and interpersonal skills. Eagerness to learn and adapt to new technologies and methodologies. Ability to work both independently and as part of a team. Prior internship or project experience in data analysis is a plus. This internship is a fantastic entry point into the field of data analytics, offering practical experience and mentorship within our **Columbus, Ohio, US** operations. We offer a hybrid work model, providing flexibility while ensuring collaborative learning opportunities.

Requirements