Senior Manager, Business Analytics

• Lead the Business Analytics function within the department, turning audience, product, content, subscription and commercial data into clear priorities and measurable business actions.
  
• Own the analytics strategy, measurement framework and insight for SMG’s digital products, ensuring leaders and cross-functional teams have trusted performance views, robust analysis and evidence for decision-making.
  
• The position is responsible for establishing a data-driven culture, building robust telemetry and business intelligence (BI) infrastructure, driving user acquisition/retention models, and managing the analytics function to directly impact Star Media Group's growth and monetization strategy.
  

• Define and execute the end-to-end business analytics roadmap aligned with departmental and organizational revenue targets (digital subscriptions, ad yield, and reader engagement).
  
• Working with Product Management and Development to establish metrics tracking and data collection frameworks (GA4, CDP, etc.) to ensure all digital products and features are track and measurable.
  
• Translate raw data into clear strategic and actionable insights, build and maintain centralized executive dashboards and operational BI reports (e.g., Power BI, Looker, or Tableau) to track core KPIs including web/app performance, user consumption, user behaviour, market landscape, content and revenue performance.
  
• Build a disciplined experimentation practice by shaping hypotheses, test designs and success metrics, and by interpreting A/B tests and other experiments to support scale, iteration or stop decisions.
  
• Apply statistical methods, customer segmentation, propensity modelling, and churn analysis to identify growth opportunities and optimize user journeys across digital platforms.
  
• Direct, mentor, and upskill the analytics team while driving overall data literacy across the broader organization.
  
• Implement rigorous data hygiene standards, audit tracking frameworks regularly, and ensure full compliance with privacy and data collection protocols.
  
• Any other tasks or duties that may be assigned from time to time.
  

Requirements

• Bachelor’s Degree and Postgraduate qualification (Master’s/MBA/PhD)in Business Analytics, Data Science, Statistics, Computer Science, Economics, Business, Engineering or a related quantitative discipline
  
• 7-10 years of progressive experience in business analytics, product analytics, or data science, including at least 3–5 years in a leadership or managerial capacity.
  
• Preferred Industry Exposure:
  

• Digital media, news publishing, content, audience or subscription-based businesses
  
• Consumer digital products operating across web, mobile applications and distributed platforms
  
• Data-intensive organisations with advertising, subscription, commerce or other digital revenue models
  

• Preferred Functional Exposure:
  

• Translating digital audience behaviours, subscriber funnels, and ad monetization strategies into actionable growth plans.
  
• Deploying and managing web/app analytics platforms (Google Analytics 4, Tag Manager, or similar) and Customer Data Platforms (CDPs).
  
• Building automated dashboard environments in BI tools (Power BI, Tableau, Looker) on top of modern data warehouses (BigQuery, Snowflake, AWS Redshift).
  
• Designing and evaluating traffic growth experiments, user acquisition funnels, and behavioural cohorts.
  

• Advanced proficiency in SQL for querying large, complex datasets.
  
• Strong mastery of web and mobile analytics architectures (GA4, GTM, Firebase, BigQuery, Chartbeat, or similar), including tagging and implementation validation.
  
• Demonstrated capability with data visualization and BI tools (Power BI, Tableau, or Looker).
  
• Hands-on experience with statistical analysis and data manipulation tools (Python, R, or advanced Excel).
  
• Deep knowledge of digital media metrics (e.g., ARPU, CAC, LTV, paywall conversion rates, scroll depth, session duration, CTR).
  
• Exceptional data storytelling and stakeholder management skills, with the ability to articulate technical data findings to non-technical business leaders.
  

• Communication (Level 1 - Very Important):
  

Possesses effective verbal and written communication skills. Able to utilize multiple and varied communications media, as appropriate, to efficiently disseminate information.

• Customer Service Orientation (Level 1 - Very Important):
  

Understands the expectations and needs of customers (internal & external). Is courteous and helpful toward customers. Respects the needs, viewpoints, capabilities and interests of employees.

• Innovation (Level 1 - Very Important):
  

Human resource programme development to attract, reward and retain employees.

Tries different and novel ways to deal with problems or promote the business. Thinks creatively and encourages innovation in others.

• Continuous Learning (Level 1 - Very Important):
  

Seeks out company and industry-sponsored developmental opportunities. Stays informed of current thinking/ emerging trends that have impact on own area. Actively seeks out the necessary knowledge and experience to perform on the job.

• Teamwork and Co-operation (Level 1 - Very Important):
  

Demonstrates the ability to work with others in pursuit of the organisation’s goals. Puts aside individual goals when necessary to focus on group objectives, works to manage disagreements and negotiate resolutions to inter-team conflict.

• Resource Management (Level 2 - Important):
  

Selects, positions an utilizes human, technological and fiscal resources to reach the company’s objectives. Recognizes and capitalizes on the strengths of others to match people to the jobs and accomplish the company’s objectives. Demonstrates an understanding of how a diverse population affects the company in terms of customers, programs and services. Demonstrates appropriate stewardship of organizational resources.