Job Description
The Job:
As an Analytics Engineer Intern, you will contribute to data pipeline, data modeling, and data visualization-related efforts for the Business Intelligence & Analytics team at HBO Max. You're an engineer who not only understands how to use big data in answering complex business questions but also how to design semantic layers to best support self-service vehicles. You will work closely with cross-functional partners to ensure that business logic is properly represented in the semantic layer and production environments, where it can be used by the wider HBO Max team to drive business strategy.
The Daily:
• Design and implement data models that support flexible querying and data visualization
• Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing it
• Contribute innovative ideas to the Analytics Engineering roadmap Deliver on concepts through prototypes that can be presented for feedback
The Essentials:
• Pursuing a Bachelor's degree or greater in quantitative field of study (Computer Science, Engineering, Mathematics, Statistics, Finance, etc.) from a top-tier institution
• Demonstrated proficiency in writing SQL Experience with general-purpose programming (e.g. Python, Go, Java), and familiarity with a variety of data structures, algorithms, and serialization formats Experience with Git (or similar version control)
• Ability to write clear, concise documentation
• Ability to solve ambiguous problems independently
• Care for the quality of the input data and how the processed data is ultimately interpreted and used
Internship Program:
• Students must be currently enrolled in a college degree program for the full duration of the internship
• Summer 2022 program dates are June 6th - August 12th; must be available for full program duration
• Full-time schedule (40 hours/week)
• Company-issued computer provided for the duration of the internship program.
• Competitive salary; relocation is not provided
• Hands-on work with passionate, talented team members in your field
• Networking opportunities with industry-leading professionals
• Engaging events including executive speakers sessions, professional development workshops, and more.
Jobcode: Reference SBJ-gx62w1-216-73-216-62-42 in your application.