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Data Product Management Intern
Company | Skechers |
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Location | El Segundo, CA, USA |
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Salary | $25 – $25 |
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Type | Internship |
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Degrees | Bachelor’s |
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Experience Level | Internship |
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Requirements
- Pursuing bachelor’s degree Computer Science, Data Science, Business, Analytics or related field.
- Passionate about learning new skills and willingness to take initiative, be creative, curious, and collaborative.
- Strong organizational skills with attention to detail, and ability to prioritize.
- Good communication skills – written, verbal.
- Great interpersonal skills.
- High degree of initiative, drive, confidence, and resilience
- Skills in Microsoft Office Software (MS Excel, MS Access, MS PowerPoint, etc.)
Responsibilities
- Work in partnership with experienced members of the team and stakeholders on the business and technical side to gather requirements for data products. Potentially work on a use case for Data Science / AI / ML.
- Create process models, specifications, documents, wireframes, and charts and gain experience in translating this information into actionable tasks working closely with subject matter experts on product design.
- Collect, analyze, and prepare sources to perform target data mapping.
- Testing and analysis of results to ensure the solution meets the needs of the business community.
- Deliver updates and presentations with wide variety of stakeholders and learn to share insights including roadmaps.
- Participate in Scrum ceremonies, including stand-ups, sprint planning, retrospectives, demos, grooming, and release planning.
- Create training documentation and train end users once new development work or enhancements are complete.
Preferred Qualifications
- Familiarity with relational data modeling and SQL for data manipulation and tuning for optimal performance.
- Experience working in an Agile/SCRUM environment.
- Background with business intelligence tools such as MicroStrategy or Tableau, reporting, and data transformation using tools like SQL and leveraging database design.
- Knowledge of software development lifecycle (including understanding business processes, gathering user requirements, design, development, testing, deployment, and training)
- Knowledge of project management and change management
- Forward-thinking analytical capability, excellent problem-solving skills
- Demonstrated ability to independently conduct in-depth data analysis.
- Ability to be a cross-functional team player with a track record of building positive relationships with peers and others within a company.