Data Analyst Intern

Data Analyst Intern

Job Description:

We are seeking a motivated and detail-oriented Data Analyst Intern to join our dynamic team. In this role, you will work closely with the Data Analytics Manager, gaining valuable insights into business analytics and data management. The internship offers an excellent opportunity to enhance your technical abilities, particularly in SQL, Tableau, and data modeling with Knime. You will learn how to create effective data visualizations and reports, as well as how to communicate your findings to various stakeholders. This is an ideal position for someone eager to apply their analytical skills in a real-world setting and contribute to data-driven decision-making processes within the organization.

IT Languages:

• SQL
• Python
• Tableau
• Knime

As a Data Analyst Intern, you will assist in a variety of analytical tasks, including data management and report generation.:

Support the data analyst in conducting business analyses and fulfilling ad hoc requests.;; Document processes and requirements for reports, models, and standard procedures.;; Assist in designing and creating customer data models.;; Help the Analytics Manager in analyzing customer behavior as needed.;; Organize and manage files on local and shared drives, as well as within the database.

Spoken Languages:

• English;; French

Skillset:

• Microsoft Office 365
• Excel
• SQL
• Data modeling
• Data visualization

Soft Skills:

• Strong communication skills
• Interpersonal skills
• Detail-oriented
• Organizational skills
• Ability to work under pressure

Qualifications:

• Currently pursuing a degree in business, data science, or computer science.
• Strong background in data analysis and business intelligence.

Years of Experience:

1

Location:

New York, NY, United States

Job Benefits:

• Competitive compensation at $19/hour
• School credits offered
• Friendly working environment
• Generous employee discounts

Working Conditions:

Hybrid

Employment Type:

Internship

Company Culture:

• The company fosters a warm, open, and inclusive working environment where collaboration and innovation are encouraged. Employees are valued for their contributions and supported in their professional growth.

Opportunities For Advancement:

• Exposure to diverse data projects, Potential for future employment opportunities, Mentorship from experienced professionals

Visa Sponsorship:

Not Available