FAQs
What is the primary focus of the Associate Data Analyst role?
The primary focus of the Associate Data Analyst role is to provide data-driven insights and strategies to drive growth in the US Disney Bundle and Lifecycle marketing through advanced analytics and experimentation.
What qualifications are required for this position?
A Bachelor’s degree in Data Analytics, Mathematics, Statistics, or a related field is required, along with hands-on analytical experience with SQL, Python, or R, and familiarity with statistical modeling and data visualization tools.
What kind of experience is preferred for candidates applying for this role?
Preferred candidates should have experience in the streaming media industry or subscription-based services, as well as experience working with Marketing teams.
Are there opportunities for professional growth within the role?
Yes, the role encourages collaboration with various teams and provides opportunities to develop advanced analytical skills while working on high-visibility projects.
How will the Associate Data Analyst interact with stakeholders?
The Associate Data Analyst will work closely with stakeholders to define business questions related to Bundle and Lifecycle marketing and present actionable insights based on data analysis.
What tools and techniques will the Associate Data Analyst be expected to use?
The Associate Data Analyst will utilize SQL, Python or R for analytical work, statistical modeling techniques, causal inference methods, and data visualization tools such as Tableau and Looker.
What type of analytical frameworks are expected to be developed in this role?
The Associate Data Analyst is expected to build analytical frameworks to answer pressing business questions related to marketing trends and drivers, including hypothesis formulation, experimental design, and post-experiment analysis.
How does the company approach compensation for this position?
The hiring range for this position is between $78,800 to $105,700 per year, with actual base pay depending on internal equity, the candidate’s knowledge, skills, experience, and geographic region, alongside potential bonuses and benefits.
What skills are emphasized for this role?
Strong analytical skills, the ability to apply business strategy to data findings, effective presentation skills, and the capability to synthesize data insights into actionable recommendations are emphasized for this role.