Data Analyst Intern

Position Overview:

As our Data Analyst Intern, you will play a crucial role in supporting our data-driven decision-making process. This role is ideal for a detailed-oriented and highly motivated individual with foundational experience in SQL and Power BI who is eager to grow their skills in data extraction, analysis, and visualization.

This position offers an excellent opportunity to work in a dynamic and fast-paced environment, collaborating with cross-functional teams to enhance our reporting, understanding of market trends, and contributing to data-driven strategy needs that drive business growth.

Key Responsibilities:

• Data Collection & Cleaning: Extract and organize data from relational databases using SQL. Perform data cleaning and preprocessing to ensure its accuracy and completeness to be used for analysis.
• Analysis & Reporting: Perform basic quantitative analysis to uncover trends, patterns, and insights that can drive business decisions. Create interactive dashboards and reports in Power BI to analyze and generate actionable insights.
• Collaboration: Collaborate with cross-functional teams to understand business objectives and translate them into clear, actionable reporting metrics.
• Documentation: Maintain thorough documentation of data sources, queries and processes for transparency and reproducibility.
• Continuous Learning: Stay updated on data analysis tools, industry trends, and best practices to continuously improve data strategy.
• Support: Assist Analytics Manager in larger projects, including ad-hoc data requests and troubleshooting.

Qualifications:

• Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Economics, or a related field.
• Experience: 0-2 years of experience in data analysis or a related role. Internships or project experience in data analysis within the luxury or retail industry is highly desirable.
• Technical Skills:
• Foundational knowledge of SQL (e.g., writing queries, joins, aggregations).
• Hands-on experience with Power BI (e.g., building dashboards, DAX, data modeling).
• Proficiency in Excel (pivot tables, formulas).
• Basic understanding of data principles and pipeline (ETL, data warehousing).
• Attributes:
• Attention to detail and a high level of accuracy.
• Ability to work independently and as part of a team.
• Strong organizational and time management skills.
• Analytical Mindset: Strong analytical and problem-solving skills. Be able to interpret data and communicate insights clearly.
• Communication: Strong verbal/written skills to present findings to non-technical audiences.
• Problem-Solving: Curiosity and initiative to tackle open-ended problems.

Preferred Qualifications (Not Required):

• Internship or academic project experience in data analysis.
• Familiarity with cloud platforms (Azure, GCP) or version control (Git).
• Basic statistical knowledge (regression, hypothesis testing, forecasting).
• Certifications in SQL, Power BI, or related tools.