I. Position Purpose
Head of Business Intelligence is to identify and translate market opportunities into actionable recommendations to achieve company targets; to support the Product, Sales, Marketing, Digital and Distribution teams in finding new ways to attract customers, maximize value and experience of existing customers and retain them; to feed all business units with reports and insights needed to run the business; to gather inputs on competition and industry trends.
Management of a small team (currently one Business Analyst, potential growth).

II. Key Responsibilities and Accountabilities
• Be the strategic partner to help frame business issues, providing strategic consultancy to shape business questions and define solutions;
• Proactively provide analytical expertise and insights that identify and maximize business opportunities for strategic development across the market;
• Deliver research and analysis in support of commercial priorities (e.g. forecasting, scenario planning, KPI tracking, Digital analytics on apps/user behaviour);
• Develop and own brand intelligence and relevant market intelligence (competition watch, industry trends);
• Mine and synthesize existing information to understand available resources for initiatives and determine gaps in knowledge/ content;
• Manage analytics side of marketing campaigns (provide inputs, follow-up and recommendations)
• Source expertise and resources both internally and externally to meet project requirements.
• Direct and manage the workload of flexible resources where appropriate.
• Closely partner with colleagues to ensure all resources are fully and appropriately leveraged to deliver robust solutions to business issues/ questions;
• Align and build strong collaborative working relations with other functions to ensure cohesive activities;

IV. Experience, Functional Skills and Knowledge Areas
Functional and Technical Competencies:
• Solid experience in Business Analytics and/or Commercial roles at mid to senior levels.
• Strong strategic and analytical skills combined with consultancy skills and robust understanding of the business planning cycle and processes;
• Strong business acumen, including a good understating of market trends and customers in the market
• Ability to translate analytics into actionable strategic recommendations and capacity to effectively communicate complex information and concepts to different types of audiences;
• Ability to partner successfully with Leadership Team, quickly building trust and credibility by setting a high visible example of professional excellence;
• Strong influencing skills, ability to lead work in a virtual and multi-cultural environment, often without direct line authority; Ability to lead teams assertively;
• Complex project management leadership skills and problem solving approach;
• Understands the operating environment and its business drivers across the market.
• Proven ability to act as a strategic consultant with commercial clients. Excellent communication skills with ability to clearly communicate the business relevance of technical subject matter.
• Strong team player, experienced with leading across a flat organization, gained through exposure to international and multi-cultural teams.
• Understands quantitative and qualitative research methodologies. Experienced in management of secondary data. Knowledgeable about study design and able to assess vendor technical capabilities.
• Proven ability to connect, integrate and distil analysis and data into a meaningful interpretation to drive strategic recommendations and enable commercial decision making. Capable of describing relevant caveats in data or in a model and how they relate to business question.
• Ability to be flexible, prioritize multiple demands and deal with ambiguity.
• Displays leadership behaviors in all interactions.
Technical skills and competencies:
• Fluent in English language (written and spoken)
• XL Master, Visual Basic
• Proficient with Databases and SQL requests
• Expertise in at least one specific Data Analysis Tool (SPSS, SAS)
• Ideally, proficient with Digital Analytics tool (Google Analytics)
• Customer Segmentation
• Campaign management and follow-up
• Educated to degree level or advanced degree in Sciences/ Quantitative field preferred.