1848V Data Analytics Intern

About the Role

Key Responsibilities

• Author Interactive Reports & Dashboards - Use Metabase and its raw SQL capabilities to create interactive reports and dashboards for internal and external stakeholders.
• Collaborate with Behavioral Design & Product Teams - Work closely with our Behavioral Designer and Product Manager to uncover trends and insights that support product ideation and experiment design.
• Embedded Analytics - Partner with Engineering, Product, and Finance teams to standardize and author embedded Metabase dashboards that support our clients' and our organization's analytics needs.
• Data Infrastructure & Enrichment - Incorporate industry and third-party data into our reporting data warehouse to further inform our venture growth opportunities.
• Shadowing and Mentorship - Participate in team discussions, shadow experienced engineers and data analysts, and receive mentorship to enhance your skills and learn about the venture growth process.

Requirements

• Currently enrolled in an undergraduate or graduate degree program, with a concentration in Engineering (Computer, Data, or related), Data Science, Statistics, or a related technical field.
• Strong interest in the intersection of applied data analysis, product, and business.
• Desire to contribute to data-driven business decisions and product development.
• Strong understanding of statistical analysis.
• Hands-on SQL experience.
• Eager to learn and work with data visualization and engineering tools.
• Strong problem-solving and analytical skills.
• Solid communication skills and attention to detail.
• Team player.
• Basic understanding of, or interest in, experiment design.

Nice to Have

• Genuine interest in early-stage startups and innovation.
• Hands-on experience using Python for Data Analysis.
• Comfortable with ambiguity and enjoy tackling new challenges.
• Experience with data visualization tools or machine learning libraries.

Qualifications

• Enrollment in an undergraduate or graduate degree program in a relevant technical field.

Benefits & Perks

• Paid internship.
• Gain practical experience in data extraction and interpretation.
• Apply data analysis techniques to optimize business processes and product performance.
• Understand how data informs product development and decision-making.
• Collaborate with a cross-functional team.