Sr Data Analyst

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

Job summary

A leading company is seeking a Senior Decision Analyst to join their Data & Analytics team. This role involves applying advanced analytics to optimize strategic decisions in content management and customer engagement. The ideal candidate will have strong analytical skills and a passion for media and entertainment.

Qualifications

• 5+ years of analytical experience.
• 5+ years of experience developing machine learning models.

Responsibilities

• Apply advanced analytics techniques to large-scale data.
• Analyze customer behavior to identify content opportunities.
• Communicate results through compelling data storytelling.

Skills

Analytical Skills

Data Storytelling

Problem Solving

Education

Bachelor’s degree in Data Science

Master’s degree in a related quantitative field

Tools

Python

R

SQL

Looker

Tableau

JupyterLab/Notebook

Databricks

S3

Spark

Job description

Job Posting Title: Sr Data Analyst

Req ID: 10121369

ABOUT THE ROLE

The Direct to Consumer Data & Analytics organization is seeking a Senior Decision Analyst to join our Strategic Forecasting & Decision Analytics team. As Sr. Decision Analyst, 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, communicates effectively, and is passionate about television and film. They should enjoy utilizing data to drive business decisions and be eager to learn.

WHAT YOU’LL DO

1. Apply advanced analytics techniques (data mining, visualization, statistical analysis, causal inference, regression, machine learning, time-series forecasting) to large-scale, high-dimensional data to inform global business decisions.
2. Analyze customer behavior (e.g., genre preferences, viewing patterns) to identify unmet customer needs and content opportunities.
3. Use advanced causal inference methodologies to quantify engagement and the impact of sharing title licenses with platforms.
4. Predict content engagement to guide acquisition decisions.
5. Optimize content launch and episode release strategies.
6. Test merchandising strategies to enhance engagement and retention.
7. Develop new metrics and KPIs for content performance, engagement, and churn to support strategic decisions.
8. Support complex projects, workstreams, and initiatives by scoping, managing resources, adapting plans, and representing the product to stakeholders and leadership.
9. Maintain stakeholder relationships, understand their needs, and provide solutions.
10. Provide ad-hoc analysis to support business growth.
11. Communicate results through compelling data storytelling across the organization.

WHAT TO BRING

1. Bachelor’s degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science, Applied Economics, or related field.
2. 5+ years of analytical experience.
3. 5+ years of experience developing machine learning models and analyzing data with Python and/or R.
4. 5+ years of querying cloud-hosted databases with SQL.
5. Experience with statistical analysis and machine learning techniques: time-series forecasting, causal inference, regression, decision trees, clustering, etc.
6. Ability to work independently and creatively solve open-ended problems.
7. Excellent data storytelling skills (verbal, written, visual).
8. Familiarity with data exploration and visualization tools like Looker, Tableau, or JupyterLab/Notebook.
9. Ability to explain models and algorithms to both technical and non-technical audiences.
10. Experience with data solutions using Databricks, S3, Spark.

NICE-TO-HAVES

1. Master’s degree in a related quantitative field.
2. Passion for media and entertainment.

ADDITIONAL INFORMATION

#DISNEYTECH

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

Job Posting Segment: Direct to Consumer

Primary Business: DTC Analytics and Data Science

Category: Tech Data Analytics

Employment Type: Full time

Locations: San Francisco, CA; NY - 7 Hudson Square; Santa Monica, CA

Date Posted: 2025-05-09