Head of Data Analytics at ICEA Lion Group

• The role will lead the development and management of customer insights, data and analytics across the Group, supporting the innovation agenda. The role is data and analytically intensive. Successful candidates should be quick learners, strategic thinkers, operational and execution driven facilitators, team leaders, problem solvers, and have an entrepreneurial spirit. This role is heavily cross-functional and ideal for candidates who enjoy both defining and solving complex problems, while getting deeply involved in the classification domain and product partners.

Roles And Responsibilities

• Provide the one-stop shop for all data needs for the entire financial Group.
• Define and execute the Data & Analytics strategy, in alignment with business needs, stakeholder requirements, and the business strategy.
• Provide deep insights on market needs, performance, and structure and monitor, analyze, and leverage data insights from internal and external sources to build models and communicate actionable learnings that will shape everything we do as a team.
• Identify new ways to leverage data and information to drive insights and better understanding of customer needs, expectations and behavior; and position ICEA LION to maximize value from emerging disruptive technology solutions
• Leverage analytics and process improvement methodologies to provide a data-driven approach to improvement and develop overall strategies that optimize efficiency, revenue and customer experience metrics.
• Oversee the development and implementation of solutions for business users and drive a data-driven culture across all business functions in order to transform the business into an insight driven organization.
• Structure complex, ambiguous business questions and utilize analytical skills to synthesize actionable insights to facilitate informed decisions.
• Measure, analyze and optimize the performance of new designs and interactions to align with business requirements.
• Lead the development of analytics capabilities within the Group by driving overall organizational awareness and capabilities related to AI assisted servicing; partnering with the Operations and ICT teams to ensure high quality methods to gather and manage large datasets from multiple sources, data cleaning for accuracy, viability and value.
• Determine meaningful data trends, relationships between variables and formulate predictive insights.
• Identify and develop appropriate metrics, tools and processes to drive customer delight and loyalty.
• Maintain inventory of current data availability including reports and business intelligent tools such as Dashboards and Scorecards.
• Create and maintain insightful automated reports and dashboards utilizing typical data quality functions, and collaborate with ICT in developing and maintaining standardization of reporting processes driven by strategic and business needs and designed to ensure data and reporting consistency throughout the organization.
• Provide guidance to ensure departments have proper access and training to appropriate database and reporting tools to complete department level analyses.
• Lead and motivate the team of data analysts, aligning the team to the overall financial services group driven strategy and maintaining a decision support system that is dependable.

Requirements Professional Qualifications

• Bachelor Degree in Mathematics, Actuarial, Statistics, Engineering, Data science, or a related field
• Masters’ degree in Computer science, Mathematics, Economics or a related field

Experience:

• 10+ years’ experience in analytics (5+ in senior roles)
• Analytics management
• Worked in environment focusing on customer
• Service oriented, telecommunication, FSI
• Experience with data mining, techniques for analytics and statistical modelling tools
• Experience with complete project lifecycle in analytics area
• Proven experience in leading transformation projects preferred
• Solid experience in leading cross-functional implementation projects for data mining, data warehousing and data governance
• Solid experience in information architecture design that is scalable and adaptable to business needs.

CORE TECHNICAL COMPETENCIES REQUIRED FOR THE ROLE:

• Data analytics and manipulation skills
• Technical and analytical
• Business and communication
• Understanding of market, customer trends and insights
• Ability to build the data set, derive actual insights, and then test them.
• Ability to drive constant iteration and improvement, and help build the defining customer solutions for various demographics and customer types

Primary Skills

• Communicate analytical insights
• Insight driven
• Customer-focused
• Analytical
• Aware of tech trends
• Accessing/collecting primary data
• Result oriented
• Flexible/Agile and structured
• Understanding customer behavior
• Problem solver
• Curiosity and keen to learn new things

Secondary Skills

• Collaborator
• Team player
• Intellectually curious
• Open minded
• Detail oriented
• Passionate/Enthusiastic on Innovation
• Entrepreneurial mindset.