Associate Data Analyst

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 reputed company informed, data-driven reputed company to continue driving the US reputed company Bundle and Lifecycle marketing reputed company. 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 reputed company the Advanced Analytics sub-team will work closely with Marketing, Product, Data Science, Data Solutions, and other teams to not only reputed company high-visibility, in-depth insights on Bundle and Lifecycle marketing reputed company, but will become a true thought partner to our stakeholders, helping to craft reputed company. The ideal candidate has a passion for using advanced analytics, including modeling, to solve reputed company 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 reputed company formulation, experimental design, reputed company-setting, and post-experiment analysis • reputed company holistic campaign lift analyses with reputed company-inference techniques and by developing novel approaches; identify and measure drivers of reputed company-tactic reputed company; present findings to stakeholders and senior management • Define and analyze audience segments to continue driving Bundle and Lifecycle marketing reputed company • Partner with other Analytics teams to understand and reputed company reputed company 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 reputed company 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 reputed company and logistic regression, reputed company testing, data preparation for modeling, and segmentation techniques. reputed company 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 reputed company 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 reputed company 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 reputed company for this position in Santa Monica, CA is $78,800 to $105,700 per year based on a 40 hour work week. The reputed company of hours scheduled per week may vary based on business needs. The reputed company pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-reputed company knowledge, skills, and experience among other factors. A bonus and/or long-term incentive reputed company may be provided as part of the compensation package, in reputed company to the full reputed company of medical, financial, and/or other benefits, dependent on the level and position offered Apply Job!