M+E Technology Job Board

Analyst / Advanced Analytics

Hulu

SUMMARY

Hulu’s Data and Analytics team is seeking an Analyst, Advanced Analytics who will be an outstanding addition to our growing team. At Hulu, you will liaise with business partners to apply machine learning and statistical methods to find opportunities across all lines of the business. You will promote the use of analytics as a critical value driver and source of high-reaching advantage across our organization. Our ideal candidate for this role is familiar with taking unstructured business questions and coming up with actionable analytic solutions. You don’t just seek to apply the most complex method but can weigh the pros and cons of simplicity vs complexity and place a high value on understanding the why.

The ideal candidate should be able to present results to technical and non-technical audiences and have a passion for story telling using data. If you are a highly technical analyst, and desire to bring our subscriber’s experiences to the next level, then this is the role for you.

WHAT YOU’LL DO

Develop deep analyses using machine learning and statistical models around forecasting, customer lifetime value, subscriber valuation, and other projects that influence partner decisions
Use descriptive and inferential statistics (t-test, chi-square, ANOVA, correlation, Regression, Factor Analysis etc.) to understand subscriber behaviors/value, and make an impact across the business
Conduct reproducible data analyses and insightful visualizations that help tell a story
Produce action-oriented analyses, with the ability to clearly articulate results, both visually and verbally
Act as a consultant across the business, solving challenging problems using analytics

WHAT TO BRING

2+ years of experience in a quantitative business analysis role consulting experience highly valued, though academic experience is also considered
Degree within a quant field such Economics, Engineering, Applied Math, Business/Marketing, Quantitative Social Science etc. from an outstanding university
Highly proficient with quantitative data analysis and utilizing data to drive decision-making
Experience with the following tools/languages: SQL, Excel, R/Python, and PowerPoint
Proven experience using statistical, econometric, machine learning or data mining techniques in a professional or academic setting
Ability to tell a story with data both verbally and visually
Have an open mind to pick up new analytical techniques as required

NICE-TO-HAVES

Master’s in quantitative field would be great!
Experience and passion working within the entertainment industry!