Job Summary:

Marketing Data is central to measuring all aspects of the business, and critical to our operations and growth. The Sr Data Analyst role will play a critical role in supporting our core marketing measurement, automation and reporting needs globally. He/she will work closely with Marketing, Data Engineering, Data Architecture, Subscriber and Content Analytics to drive tools and optimizations across the business. The ideal candidate has a passion for digital and linear media landscapes and understands the intricacies and unique attributes of each step in the marketing funnel.

Responsibilities:

• Support marketing teams, including Social, Display, Paid Search, Audio, Video, CTV, affiliate channels, marketing landing pages, and owned properties to optimize channel performance, understand their analytics needs and set the roadmap for analytics work
• Create, deliver and continuously improve our business measurement solutions
• Partner closely with business stakeholders to identify and unlock opportunities
• Understand the systems and business processes that populate critical systems with data
• Work with stakeholders to outline and define data definitions and apply appropriate usage
• Analyze and report key data quality health KPIs through regular metric monitoring and revise as needed as the number of datasets and critical systems expand
• Translate complex reporting needs into technical specifications, including calculations, custom groups, parameters, filtering criteria and/or aggregations
• Analyze subscriber and behavior data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the platform and content
• Build and automate reports and dashboards that provide insights into business measurement and effectiveness
• Build intuitive presentations, interfaces, infographics and visualizations to tell stories with data
• Provide ongoing reporting and analysis to inform and support business, product and marketing decisions

Basic Qualifications:

• 5+ years of hands-on analytical work experience with SQL and/or Python
• Proficiency with SQL
• Demonstrated experience in the digital media, web analytics, and in-app ecosystem including ad serving, tracking, and reporting tools including, DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
• High familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow
• Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
• Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
• Strong experience in documenting the data requirements, data strategy, data rules (standardization, cleanse, and validation)
• Strong analytical and technical skills to troubleshoot issues, analyze the cause, quickly come-up with the possible solutions, document the changes, and communicate organizational impact
• Explain data anomalies, develop data visualizations and reporting to drive key messaging and recommendations
• Familiarity with data exploration and data visualization tools like Tableau or Looker. It’s a plus if you can share a portfolio of clear, intuitive and insightful visualizations
• 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 in the technology industry, knowledge of data products
• Python experience writing, managing and deploying code
• BA or BS in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar) is desired

Required Education

• Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)

This role is considered hybrid, which means the employee will work a portion of their time on-site from a Company designated location and the remainder of their time remotely.