Sr Data Analyst

The Walt Disney Company; San Francisco (CA); On-site; USD 125,000 - 169,000; Full time

Job summary

An established industry player is seeking a Senior Decision Analyst to join their Strategic Forecasting & Decision Analytics team. This role involves applying advanced analytics techniques to optimize strategic decisions in areas such as content management and subscriber health. The ideal candidate will thrive in a fast-paced environment, utilizing their analytical skills to drive business decisions while effectively communicating insights. Join a dynamic team that values problem-solving and creativity, and contribute to impactful projects that shape the future of media and entertainment.

Qualifications

• 5+ years of analytical experience with a focus on data-driven decision-making.
• Experience with machine learning models and data analysis using Python or R.
• Strong ability to communicate insights through data storytelling.

Responsibilities

• Apply advanced analytics techniques to inform global business decisions.
• Analyze customer behavior to identify content opportunities.
• Communicate insights effectively through compelling data storytelling.

Skills

Data Analysis

Machine Learning

Statistical Analysis

Data Visualization

Causal Inference

Regression

Time-Series Forecasting

Problem-Solving

Data Storytelling

Education

Bachelor’s degree in Data Science or related field

Master’s degree in relevant fields

Tools

Python

R

SQL

Looker

Tableau

JupyterLab

Databricks

S3

Spark

Job description

Sr Data Analyst

Apply Now | Apply Later

Job ID: 10121369

Location: San Francisco, CA / Santa Monica, CA / New York, NY

Business: Disney Direct to Consumer

Date posted: May 9, 2025

Job Summary:

ABOUT THE ROLE

The Direct to Consumer Data & Analytics organization is seeking a Senior Decision Analyst to join our Strategic Forecasting & Decision Analytics team. You will apply analytical rigor to optimize strategic decisions based on decision and data science principles. Projects include strategic decision support, content portfolio management, merchandising, acquisition & licensing, release strategy optimization, and churn & subscriber health. The ideal candidate has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a strong communicator, and is passionate about television and film. You should enjoy utilizing data to drive business decisions and be eager to learn.

WHAT YOU'LL DO

• Apply advanced analytics techniques (data mining, visualization, statistical analysis, causal inference, regression, machine learning, time-series forecasting) to large-scale data to inform global business decisions.
• Analyze customer behavior (e.g., genre preferences, viewing patterns) to identify unmet needs and content opportunities.
• Use causal inference methodologies to quantify engagement and the impact of sharing title licenses.
• Predict content engagement to guide acquisition decisions.
• Optimize content launch and episode release strategies.
• Test merchandising strategies to enhance engagement and retention.
• Develop new metrics and KPIs for content performance, engagement, and churn.
• Support complex projects and new initiatives, managing scope, resources, and stakeholder relationships.
• Maintain relationships with stakeholders, understanding their needs, and providing solutions.
• Provide ad-hoc analysis to support business growth.
• Communicate insights effectively through compelling data storytelling.

WHAT TO BRING

• Bachelor’s degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science, Applied Economics, or related field.
• 5+ years of analytical experience.
• Experience developing machine learning models and performing data analysis with Python and/or R.
• Experience querying cloud databases with SQL.
• Knowledge of statistical analysis and machine learning techniques.
• Ability to work independently and creatively solve problems.
• Excellent data storytelling skills.
• Familiarity with data visualization tools like Looker, Tableau, JupyterLab.
• Ability to explain models and algorithms to technical and non-technical audiences.
• Experience with data solutions using Databricks, S3, Spark.

NICE-TO-HAVES

• Master’s degree in relevant fields.
• Passion for media and entertainment.

ADDITIONAL INFORMATION

The salary range varies by location: Santa Monica, CA ($114,900 - $154,100), New York, NY ($120,300 - $161,300), San Francisco, CA ($125,800 - $168,700). Compensation includes base salary, bonuses, incentives, and benefits.

About Disney Direct to Consumer:

Oversees Hulu and Disney+ streaming services, bringing Disney’s storytelling to fans worldwide.

About The Walt Disney Company:

A leading entertainment and media enterprise with operations in over 40 countries, creating world-class stories and experiences.

This position is with Hulu, LLC, part of Disney Direct to Consumer.

Disney is an equal opportunity employer, welcoming candidates of diverse backgrounds and abilities.