New York, NY, USA
1 day ago
Associate Data Analyst

Job Posting Title:

Associate Data Analyst

Req ID:

10105896

Job Description:

About The Role

The Bundle and Lifecycle Analytics, Data & Experimentation Team uses data, statistical modeling/techniques, experimentation frameworks, and other tools to help our stakeholders make informed, data-driven decisions to continue driving the US Disney Bundle and Lifecycle marketing growth. With our work, we aim to give an understanding of Bundle and Lifecycle marketing trends, subscribers, and user behavior end-to-end by providing support across analytics and experimentation. In this role, the senior analyst within the Advanced Analytics sub-team will work closely with Marketing, Product, Data Science, Data Solutions, and other teams to not only provide high-visibility, in-depth insights on Bundle and Lifecycle marketing growth, but will become a true thought partner to our stakeholders, helping to craft strategy. The ideal candidate has a passion for using advanced analytics, including modeling, to solve complex business problems. 

Responsibilities 

Work closely with stakeholders to define the most pressing business questions on Bundle and Lifecycle marketing trends and drivers and build analytical frameworks to answer these questions 

Help to craft an ongoing experimentation program, including hypothesis formulation, experimental design, significance-setting, and post-experiment analysis 

Perform holistic campaign lift analyses with causal-inference techniques and by developing novel approaches; identify and measure drivers of growth-tactic success; present findings to stakeholders and senior management 

Define and analyze audience segments to continue driving Bundle and Lifecycle marketing growth 

Partner with other Analytics teams to understand and harness all available Bundle and Lifecycle marketing data from disparate sources, uniting insights into a cohesive, actionable story 

Basic Qualifications 

Bachelor’s degree in Data Analytics, Mathematics, Statistics, or related degree 

Hands-on analytical work experience with SQL/Python/R (or another statistical analysis tool) 

Experience with statistical modeling, machine learning, and other quantitative approaches, including but not limited to in-depth knowledge of linear and logistic regression, significance testing, data preparation for modeling, and segmentation techniques. Causal inference and propensity score matching experience is a plus 

Experience manipulating large data sets, interpreting data trends, and using a multitude of disparate data sources and tools 

Experience with creating, executing, and analyzing complex AB/MVT test constructs to test stakeholder hypotheses 

Experience with data visualization tools such as Tableau, Looker, etc. 

Strong analytical skills with the ability to apply business strategy to data analysis and recommendations 

Strong presentation skills, including the abilities to tell a story with data and to synthesize findings into actionable recommendations 

Ability to think strategically, analyze and interpret market and consumer information 

Preferred Qualifications 

Experience in the streaming media industry or other subscription-based service 

Experience working with Marketing teams or in the Marketing landscape 

Additional Information

#DISNEYTECH

The hiring range for this position in New York, NY is $78,800 to $105,700 per year based on a 40 hour work week. The amount of hours scheduled per week may vary based on business needs. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Direct to Consumer

Job Posting Primary Business:

DTC Analytics and Data Science

Primary Job Posting Category:

Tech Data Analytics

Employment Type:

Full time

Primary City, State, Region, Postal Code:

New York, NY, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2024-11-11
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