News & Media Analytics Lead

Key Skills

Aartificial intelligence, Amazon RedShift, Business Intelligence, Data science techniques, Data Warehousing, DSPs, Effective communication skills, Google BigQuery, KPIs, Leadership Skill, Machine learning techniques, Planning and organization, PowerBI, Python Programming, Snowflake, Social media platforms, SQL, Tableau

Job Description

You’ll be quarterbacking our News Data & Insights Lab (NDIL)with a primary focus on utilizing data, marketing science, and product analytics to improve customer acquisition, retention, and engagement. If you’re someone who is versatile, methodical, excited by modern technology and enjoys tackling novel and complex business problems in the realm of news & media, then this can be your sweet spot.

Essential Duties

• Develop and execute the analytics strategy for D2C digital product optimization and marketing initiatives, aligning with the company's overall goals and objectives i.e., keeping subscribers engaged, reaching new readers
• Lead a small team of skilled analysts and data scientists, fostering a culture of innovation, collaboration, and continuous improvement
• Engage with business stakeholders, understand business requirements & suggest best-of-breed data solutions
• Translate business requirements from the stakeholders into equivalent analytics tasks
• Oversee the building of data products / ML solutions through all phases of development lifecycle, from research, ideate and design through build, test and implement
• Conduct and guide website analytics, paid search, paid social, SEO, email marketing, customer journey optimization, and omnichannel CRM analytics, including advanced segmentation and persona development
• Analyze marketing campaign performance, customer segmentation, and conversion funnels to optimize marketing strategies and improve ROI
• Define and track key performance indicators (KPIs) for product and marketing initiatives, and deliver regular performance reports to senior leadership
• Develop new analytical frameworks, data science techniques and predictive analytics to dive deeper into campaign performance, customer behavior and omnichannel opportunities

• Conduct real-time analytics using AI/ML (in flight optimization) and attribution modeling for impact assessment
• Set up the learning agenda/experimentation (A/B testing, test/control)

• Develop best practices for marketing experiment design, including advising on hypothesis generation, sample size, and counter metrics

Qualifications

• Bachelor’s degree in Engineering, Data Science, Economics, Computer Science, Statistics, Business Analytics, or related field; Master’s degree preferred but not required
• 6+ years of experience in a quantitative field, specifically in analytics and data science, with a preference for roles related to product analytics, marketing analytics, or related domains
• 4+ years' professional experience working with a digital newsroom, publishing, or online media company
• 3+ years of people leadership or informal mentorship of analytical teams
• Strong working knowledge of marketing science, including frameworks and technologies for media mix modeling and multi-touch attribution

• Sound knowledge of applied statistics, experimental design, and causal inference

• Extensive experience in the advertising space and strong working knowledge of digital advertising technologies (DMPs, DSPs SSPs, advertising servers, first party data tools), industry trends, best practices, and capabilities
• Familiarity with digital web analytics tools, including Omniture, Google Analytics, Parse.ly or Chartbeat
• Strong proficiency in data-analysis languages (e.g., SQL, Python) and business intelligence systems / visualization tools (e.g., Tableau, PowerBI, Looker, orAdobe Analytics)
• Experience with cloud-based data warehouses (BigQuery, Redshift, Snowflake etc.) and modeling complex data transformations with SQL to meet business requirements
• A strong understanding of and interest in the competitive landscape for digital news media
• Excellent communication skills, including the ability to clearly and effectively communicate and present analysis findings to stakeholders at all levels. Must be adept at translating analysis into cohesive, concise insights
• Close attention to detail and a commitment to accuracy
• Strong organizational skills and the ability to effectively prioritize in a deadline-driven atmosphere
• Creativity and strong critical thinking skills