Starz
Engineer, Content Analytics
Starz - New York, New York, us, 10261
Work at Starz
Overview
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Overview
Job Description
All the consumption data used to understand our subscribers, what they watch, how they watch, and the work we do to figure out how to keep improving, depends on our data infrastructure. This framework spans from our internal feed of information to what we get through external vendors; and third-party cloud-based data visualization tools to what we build ourselves. Because these systems are an integral part of what we do, our primary goal is to ensure we're leveraging the data effectively and efficiently.
As a Content Analytics Engineer you will join the Content Insights team, and partner with our Data Products & Engineering group to maintain systems, build tools, data model and create metrics that help us make better decisions. You will also work closely Subscription Analytics and Data Science team and provide support to our Program Planning and Acquisitions stakeholders to align on infrastructure analytics strategy and will then collaborate with Data Engineers and Data Scientists to execute that strategy.
Our ideal candidate will excel in data analytics, cross-functional collaboration, and be an enthusiastic problem solver with a focus on the television and media landscape.
Responsibilities Work closely with the Content Insights team and colleagues in Insights & Analytics to create and maintain a framework for our consumption data infrastructure Support the Sr. Manager and Data Engineer to build best in class analytics products that support critical data infrastructure for the Content Insights team, utilizing both external and proprietary sources Create and maintain critical reporting tables using business intelligence tools (e.g. Tableau dashboards) for Content Insights team and internal stakeholders Work with our Data Engineering partners and the Data Science team to make sure we have great data to support the products we are building and want to develop Qualifications & Skills
Experience with data warehouse concepts and data management life cycle and highly proficient in programming languages like SQL and/or Python Familiarity with statistical methods (time series, linear regression, etc.) and machine learning concepts Experience working with distributed systems, building and maintaining pipelines using various cloud technologies (e.g. Snowflake) A collaborative and proactive workstyle, with the ability to adapt to shifting priorities and manage multiple projects; must have strong attention to detail, specifically for data quality and reporting An exceptional communicator with both technical and non-technical audiences Familiarity with work on GenAI use cases a plus (but not required) Passionate about using data to help guide strategic decision making B.A. or B.S. in relevant fields such as (but not limited to) Statistics, Computer Science, Data Science, Engineering, or related field Compensation
$100,000 - $120,000
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)
About the Company
STARZ (www.starz.com), a Lionsgate company, is a leading media streaming platform committed to delivering premium content that amplifies narratives by, about and for women and underrepresented audiences. STARZ is home to the highly rated and first-of-its-kind STARZ app that offers the ability to stream or download STARZ premium content, as well as the flagship domestic STARZ® service, including STARZ ENCORE, 17 premium pay TV channels, and the associated on-demand and online services. STARZ is available across digital OTT platforms and multichannel video distributors, including cable operators, satellite television providers, and telecommunications companies. In February 2021, STARZ launched #TakeTheLead, a multi-faceted and innovative inclusion initiative expanding its existing efforts to improve representation on screen, behind the camera and throughout the company.
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.
As a Content Analytics Engineer you will join the Content Insights team, and partner with our Data Products & Engineering group to maintain systems, build tools, data model and create metrics that help us make better decisions. You will also work closely Subscription Analytics and Data Science team and provide support to our Program Planning and Acquisitions stakeholders to align on infrastructure analytics strategy and will then collaborate with Data Engineers and Data Scientists to execute that strategy.
Our ideal candidate will excel in data analytics, cross-functional collaboration, and be an enthusiastic problem solver with a focus on the television and media landscape.
Responsibilities Work closely with the Content Insights team and colleagues in Insights & Analytics to create and maintain a framework for our consumption data infrastructure Support the Sr. Manager and Data Engineer to build best in class analytics products that support critical data infrastructure for the Content Insights team, utilizing both external and proprietary sources Create and maintain critical reporting tables using business intelligence tools (e.g. Tableau dashboards) for Content Insights team and internal stakeholders Work with our Data Engineering partners and the Data Science team to make sure we have great data to support the products we are building and want to develop Qualifications & Skills
Experience with data warehouse concepts and data management life cycle and highly proficient in programming languages like SQL and/or Python Familiarity with statistical methods (time series, linear regression, etc.) and machine learning concepts Experience working with distributed systems, building and maintaining pipelines using various cloud technologies (e.g. Snowflake) A collaborative and proactive workstyle, with the ability to adapt to shifting priorities and manage multiple projects; must have strong attention to detail, specifically for data quality and reporting An exceptional communicator with both technical and non-technical audiences Familiarity with work on GenAI use cases a plus (but not required) Passionate about using data to help guide strategic decision making B.A. or B.S. in relevant fields such as (but not limited to) Statistics, Computer Science, Data Science, Engineering, or related field Compensation
$100,000 - $120,000
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)
About the Company
STARZ (www.starz.com), a Lionsgate company, is a leading media streaming platform committed to delivering premium content that amplifies narratives by, about and for women and underrepresented audiences. STARZ is home to the highly rated and first-of-its-kind STARZ app that offers the ability to stream or download STARZ premium content, as well as the flagship domestic STARZ® service, including STARZ ENCORE, 17 premium pay TV channels, and the associated on-demand and online services. STARZ is available across digital OTT platforms and multichannel video distributors, including cable operators, satellite television providers, and telecommunications companies. In February 2021, STARZ launched #TakeTheLead, a multi-faceted and innovative inclusion initiative expanding its existing efforts to improve representation on screen, behind the camera and throughout the company.
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.