Head - Analytics and Customer Insights

The Head - Analytics and Customer Insights is responsible for the strategic leadership of all customer and market research and analytics. He/ She translates articulated and/or unarticulated business needs and hypotheses into research plans and methods that create business insights. He collaborates with other stakeholders and/or departments to set up the multi-platform customer measurement infrastructure and devises approaches for measuring the effectiveness of content, platforms and campaigns. The work involves providing technical guidance and leadership to the analytics and customer insights team as well as advising insights-based creative and business decision making. He should be an expert at both data and business metrics. He should have strong understanding of the fundamentals in quantitative and qualitative research techniques, algorithms, machine learning, natural language processing and statistical modelling. He ought to be an able communicator to convey insights to business leadership and be comfortable in interpreting statistical results.

Skills and Competencies

Technical Skills & Competencies

Business Insights
Proficiency Level
"Conceive business hypotheses and operationalise data metrics to enable business insight generation."
4
Business Negotiation
Proficiency Level
"Direct negotiation policies and develop negotiation limits."
6
Concept Creation
Proficiency Level
"Drive robust processes to guide the selection of relevant concepts for media products and platforms creation."
5
Contract and Vendor Management
Proficiency Level
"Drive establishment of relationships with cast, crew, vendors and clients through establishing expectations from relationships and determining the financial viability of contracts"
5
Customer Behavior Analysis
Proficiency Level
"Establish a customer behavior analysis model and framework and devise parameters to identify types of customer characteristics essential to make informed decisions pertaining to changes in marketing activities "
5

Generic Skills & Competencies

Global Mindset
Proficiency Level
Develop global networks and manages virtual relationships while balancing both local and global perspectives. Adopt a local and global perspective when making decision making.
Intermediate
Leadership
Proficiency Level
Lead by example at organisational level. Inspire, motivate and guide others to adopt a point of view, make changes or take action. Cultivate an open, cooperative and collaborative learning culture for the organization.
Advanced
Decision Making
Proficiency Level
Make decision in a volatile and ambiguous setting using a structured process and limited sources of available information to achieve intended goals.
Advanced
Communication
Proficiency Level
"Negotiate with others to address issues and achieve mutual consensus."
Advanced
Developing People
Proficiency Level
Provide mentorship to help others to develop their professional and personal development to improve performance and further their careers.
Advanced

Critical Work Functions and Key Tasks

Develop data analytics strategy

• Formulate the data analytics strategy based on the strategic objectives of the organization and engagement with business stakeholders
• Advise on the set-up of the multi-platform customer measurement infrastructure
• Advise on compliance with legal or regulatory restrictions when collecting market and customer data

Plan data analytics operations

• Translate business needs and hypotheses into research plans
• Review the organization's data organization structures and make enhancements to align to research plans and objectives
• Establish data quality control and analytics process standards based on best practices
• Approve budgets for key analytics projects

Execute data analytics operations

• Analyse large datasets by collaborating with teams in the development and deployment of analytical tools and data science approaches
• Review the analytical models produced by the team for strength of methodology and accuracy
• Advise relevant departments and/or stakeholders on methods to enhance sales and marketing strategies based on actionable business 
insights developed from data analytics
• Present data and customer insights and recommendations to relevant business stakeholders
• Identify opportunities to automate and scale the data analytics capabilities of the organization by collaborating with other teams

Manage teams and/or departments

• Define common goals, direction and accountability among staff
• Define staff development strategies by coaching, mentoring and engaging in career discussions
• Define effective performance management practices within department in accordance with company policies and procedures
• Oversee budgets, forecasting, work allocations and staffing of the various departments

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