Data Analyst/Data Science Intern
About Dormify:
Dormify is THE destination for designing and outfitting a college dorm room, teen bedroom, or small apartment. The Company designs, manufactures, and curates a broad selection of high quality, unique and affordable on-trend décor to personalize small living spaces. The brand’s integration of styling assistance with its omnichannel marketplace has made Dormify a cult-favorite brand for a powerful, loyal Gen Z audience.
The Role:
Dormify is looking for a motivated and meticulous Data Analyst/Data Science Intern with expertise in reporting. This is an excellent opportunity for a forward-thinking, entrepreneurial Intern to join a rapidly growing startup. The ideal candidate will be pursuing a degree in a relevant field. The intern will be expected to work a minimum of 15 hours per week.
Responsibilities:
- Contribute to the analytics road map to define the initiatives to improve decision making across the organization
- Create visualizations intended to monitor business performance or uncover interesting trends to investigate
- Help build and maintain executive-facing dashboards
- Set KPI goals across all areas of the business through forecasting using historical trends
- Work with Data Scientist and Product Manager to suggest and develop new A/B tests, UX/UI improvements, and other customer-facing site improvements
Skills and Qualifications:
- Enrolled and actively attended an accredited college or university working towards a degree in an IT, Mathematics, or Statistics-related field.
- Tech-savvy: You are able to pick up new systems and applications quickly
- Excellent communication skills: You will be expected to be cross-functional and will liaise with all of the Dormify teams
- Self-motivated: You take initiative and look for ways you can help other teams better understand their data
- Experience with an object-oriented programming language, or a willingness to learn
- 1+ years experience with Python or similar programming language
- 1+ years of experience with cloud computing (AWS, Google Cloud, Azure)
- Some machine learning experience is a plus
- 1+ years experience with Business Intelligence tools a plus
- E-commerce experience a plus (understanding of retail- coloring, etc.)
Job Types: Part-time, Internship
Schedule:
- Monday to Friday
Work Location:
- One location
- Fully Remote
Work Remotely:
- Yes