Manager, Subscriptions & Revenue Management Analytics

Job Description

Starz is seeking a Manager, Subscriptions & Revenue Management Analytics to support data-driven decision making for various aspects of subscriptions and promotional offers on the OTT business. The role involves providing reporting and analysis of app and channels streaming data through the development of Snowflake tables, Tableau dashboards, Excel reports, PowerPoint presentations, and data science models supporting various stakeholders with empirical insights and advanced analytic solutions.
The role provides an excellent opportunity for experienced data analysts wanting to hone their technical skills, elevate insights generation, gain experience becoming a trusted partner and active participant in critical team decisions, and learn about the video streaming industry.
The Manager, Subscriptions & Revenue Management Analytics will be based in Starz’ New York City offices following the company’s hybrid work model entailing working in-office 4 days a week. This role will report to the Executive Director, Business Intelligence & Data Science.

RESPONSIBILITIES

• Building and deploying models that enhance consumer experience, drive customer value, and unlock revenue
• Play an active role in integrating I&A data into production systems to elevate customer experience and maximize its business value
• Identifying and recommending key reports to address evolving business needs
• Independently answer complex business questions by delivering meaningful insights supported by thorough and reliable data analysis
• Build strong relationships with stakeholders, becoming a trusted partner and active participant in critical team discussions
• Develop advanced data science models designed to address business challenges

REQUIREMENTS

• 5+ years of professional experience in an analytics role
• Demonstrated proficiency in SQL through a SQL test, 3+ years of professional hands-on experience
• High degree of proficiency with business intelligence tools (preferably Tableau), 2+ years of professional experience
• Comfortable working with stakeholders in different departments across the organization, utilizing collaboration skills
• Solid familiarity with database models, experience working with unstructured data, and experience loading large datasets into databases
• Skilled at transforming raw data into actionable columnar datasets
• Knowledgeable about (at least some of) Python, Snowflake, AWS/S3, SageMaker, R
• 2+ years of professional experience in statistics and/or machine learning
• Excellent oral and written communication skills, including explaining the business implications of data analysis/reports and developing data visualizations
• College degree in Mathematics, Statistics, Data Science, Economics, Computer Science, or similar

COMPENSATION

$91,850 - $142,230

About STARZ

STARZ (NASDAQ: STRZ) is the leading premium entertainment destination for women and underrepresented audiences, and home to some of the most popular franchises and series on television. STARZ offers a robust programming mix for discerning adult audiences, including boundary-breaking originals and an expansive lineup of blockbuster movies, and is embodied by its brand positioning “We’re All Adults Here.” Complementary to any platform or service, STARZ is available across a wide range of digital OTT platforms and multichannel video distributors and is a bundling partner of choice. STARZ is powered by an industry-leading advanced technology, data analytics and digital infrastructure and the highly rated and first-of-its-kind STARZ app.

Our Benefits

• Full Coverage – Medical, Vision, and Dental

• Annual discretionary bonus and merit increase

• Work/Life Balance – generous sick days, vacation days, holidays, and wellness days

• 401(k) company matching

• Tuition Reimbursement (up to graduate degree)

EEO Statement

Starz is an equal employment opportunity employer. All employees and applicants are evaluated on the basis of their qualifications, consistent with applicable state and federal laws. In addition, Starz will provide reasonable accommodations for qualified individuals with disabilities. Starz will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and federal law.